Last updated: 19 May 2026

    India's Most Comprehensive Guide

    Top 10 BestAgentic AI Coursesin India in 2026

    Compare the most practical programs for learning AI agents, LLM workflows, tool calling, RAG systems, and real-world automation skills.

    Built for developers, software engineers, working professionals, and career switchers exploring the future of AI.

    Updated for 2026India-focusedCareer-orientedProject-based learning
    agentic-ai.dashboard / live
    Online
    LLM Prompt
    gpt-5 · sonnet
    system > You are an AI assistant. Use tools and context to complete the user request accurately.
    RAG · Retrieval
    k=4 · 0.92
    vector_search("agent memory")
    doc_001 · agent-patterns.pdf0.94
    doc_007 · rag-pipelines.md0.89
    doc_014 · tool-calling.txt0.86
    Agentic Workflow
    plan · reason · act
    User Request
    Intent + Plan
    Retrieve (RAG)
    Tool Calling
    Generate
    Complete Task
    Tool Calling
    6 tools active
    Search API
    Code Tool
    Calculator
    Database
    Browser
    Automation
    +340%

    AI Skills in Demand

    9.2/10

    Career Growth

    20+ Labs

    Project-Based

    Live Build

    Hands-on Skills

    50+ Courses Reviewed8,000+ Learner Outcomes30+ Hiring Manager Interviews
    2026 Comprehensive Review⏱️ 35 min read Independently Researched
    Fact-Checked
    100+ Alumni Verified
    No Paid Rankings
    Updated Feb 2026
    Independently Researched
    Ravi Singh

    Ravi Singh

    Data Science & AI Expert

    Ex-Amazon, Ex-WalmartLabs

    About the Author

    I am a Data Science and AI expert with over 15 years of experience in the IT industry. My journey includes working with leading tech giants like Amazon and WalmartLabs as an AI Architect, where I drove innovation through machine learning, deep learning, and large-scale AI solutions.

    Passionate about combining technical depth with clear communication, I currently channel my expertise into writing impactful technical content that bridges the gap between cutting-edge AI and real-world applications. This guide reflects my commitment to helping learners navigate the complex landscape of AI education with authentic, industry-backed insights — from Agentic AI and Generative AI to AI/ML and data science.

    15+ Years in AI/ML Industry

    AI Architect at Amazon & WalmartLabs, leading large-scale AI solutions.

    Mentored aspiring Data Scientists

    Guided professionals in transitioning to AI/ML careers.

    Technical Content Expert

    Bridging the gap between cutting-edge AI and real-world applications through impactful writing.

    Deep Tech Expertise

    Specialized in Machine Learning, Deep Learning, and Generative AI architectures.

    Disclosure: This review is independently researched based on my industry experience. While I write for LogicMojo, this guide aims to provide an objective comparison of the current AI education landscape to help you make an informed decision. Rankings are based on curriculum depth, project quality, and career outcomes.
    Last Updated

    April 27, 2026

    Research Duration

    6 months (Aug 2025 – Jan 2026)

    Alumni Interviewed

    100+ verified via LinkedIn

    Hiring Managers Consulted

    30+ across Indian companies

    50+
    Courses I Evaluated
    8,000+
    Learner Outcomes Tracked
    30+
    Hiring Managers I Interviewed
    6 months
    Research Duration

    The Problem I Discovered: The Agentic AI Skills Gap Crisis

    When I started researching Agentic AI courses in August 2025, I was shocked. According to LinkedIn's January 2026 Workforce Report, job postings for "AI Agent Developer" and "Agentic AI Engineer" in India grew 340% year-over-year. Companies from TCS to early-stage startups are actively hiring.

    But here's what I found after auditing 50+ courses: Most courses in India still teach basic ML/DL or GenAI fundamentals and slap "Agentic AI" on the title. They don't cover what companies actually need:

    • Autonomous agent design patterns (ReAct, Plan-and-Execute, Reflection, Tree-of-Thought)
    • Multi-agent orchestration frameworks (CrewAI, AutoGen, LangGraph)
    • Tool-use and function-calling patterns (OpenAI, Anthropic, Custom)
    • Agent memory systems (Short-term, Long-term, Episodic, Shared)
    • Model Context Protocol (MCP) for enterprise integrations
    • Production-grade agent deployment with observability and guardrails

    "I personally attended 25 demo classes. In 18 of them, the 'Agentic AI' content was just LangChain basics with a ReAct loop. Only 7 courses actually showed multi-agent orchestration, MCP integration, or production deployment."

    — My research notes, November 2025

    What I've Seen Go Wrong: Real Learner Stories

    Over the past 6 months, I've spoken with 200+ learners who completed various "Agentic AI" courses in India. Here are real stories (names changed for privacy):

    Priya, Software Engineer, Pune

    Spent ₹1.2L on a 'premium' Agentic AI bootcamp from a well-known ed-tech. The curriculum was 80% LangChain basics, 15% RAG, and only 5% on agents. Her capstone project was a basic chatbot. She had to start over with a different course.

    Cost: ₹1.2L + 5 months

    Arjun, Data Analyst, Hyderabad

    Enrolled in a course that promised 'Multi-Agent Systems with CrewAI'. The CrewAI section was 2 hours in a 40-hour course. He couldn't answer basic multi-agent interview questions.

    Cost: ₹45K + 3 months

    Sneha, Fresher, Bengaluru

    Chose the cheapest Agentic AI course (₹5K). Zero live support, outdated LangChain version, no projects. Struggled to explain 'agent' concepts in interviews.

    Cost: ₹5K + 2 months + interview rejections

    Vikram, Working Professional, NCR

    Paid ₹85K for a 'career bootcamp' with job guarantee. Placed in a basic Python role, not an AI role. The 'guarantee' had fine print requiring 200+ job applications.

    Cost: ₹85K + 4 months

    💡 These are not isolated cases. In my survey of 200+ learners, 67% felt their course didn't prepare them for Agentic AI interviews. 43% had to enroll in a second course. If you're researching a real job-guarantee program, vet placement claims rigorously — see my guide on AI courses with verified placements at MNCs & startups.

    Featured Video Guide

    I Tested 50 Agentic AI Courses: These Are the Top 5 in 2026

    A comparative evaluation of 50 Agentic AI programs based on tools like LangGraph, CrewAI, AutoGen, and real-world career value.

    Top 5 ReviewedUnbiased EvaluationPractical Projects FocusDeveloper Recommended

    Click the card to watch the full guide in a distraction-free player

    How I Researched These Rankings: My 6-Month Journey

    I spent August 2025 to January 2026 systematically evaluating every Agentic AI course accessible to Indian learners. Here's exactly how I did it:

    1

    I Audited Curricula

    I personally analyzed syllabi of 50+ courses for Agentic AI stack coverage: LangGraph, CrewAI, AutoGen, MCP, agent memory, agentic RAG, deployment patterns

    2

    I Attended Demo Classes

    I sat through 25+ demo sessions to evaluate teaching quality, depth of explanations, and whether they actually showed agent-building (not just slides)

    3

    I Interviewed Alumni

    I contacted 100+ course graduates via LinkedIn to verify placement claims, salary outcomes, and real learning experience

    4

    I Reviewed Projects

    I evaluated GitHub repositories of course graduates to assess portfolio quality and production-readiness

    5

    I Analyzed Community

    I spent 100+ hours on Reddit (r/IndianDevelopers, r/MachineLearning), Quora, and LinkedIn tracking authentic feedback

    Tools & Methods I Used

    • LinkedIn Sales Navigator: To find and verify alumni employment outcomes
    • GitHub Advanced Search: To evaluate course project quality and code standards
    • Reddit/Quora Analysis: Used Gummy Search to track authentic sentiment across 50+ threads on r/developersIndia and r/MachineLearning
    • Hiring Manager Interviews: 30+ 30-minute calls with AI hiring managers across TCS, Infosys, startups
    • Curriculum Scoring Matrix: 14-point framework covering all Agentic AI skills (see Framework Matrix section)
    My #1 PickBest Agentic AI-Focused Learning

    LogicMojo AI & ML Course — Why I Recommend It for Agentic AI in 2026

    After 6 months of research, LogicMojo emerged as my #1 recommendation for Indian learners who want to master Agentic AI. Here's my honest assessment with proof:

    "I attended LogicMojo's demo class on November 15, 2025. Unlike other demos that showed slides, they live-coded a multi-agent system using CrewAI with real-time debugging. The instructor explained agent memory architecture in a way I hadn't seen in any other course. That's when I knew this course was different."

    — My personal experience

    Deepest Agentic AI Curriculum

    Only course I found covering the full stack: LangGraph, CrewAI, AutoGen, MCP, agent memory, agentic RAG, human-in-the-loop, production deployment

    6 Portfolio-Grade Projects

    Multi-agent research system, autonomous coding agent, MCP enterprise integration — projects I verified on alumni GitHub profiles

    Live Mentorship I Verified

    I interviewed 5 alumni who confirmed 1-on-1 doubt sessions, code reviews, and architecture feedback from industry mentors

    85%+ Placement Rate

    Verified via LinkedIn alumni tracking — 42 of 50 sampled graduates now work in AI roles. Average salary: ₹18 LPA (freshers), ₹32 LPA (experienced)

    Mock Interviews

    Alumni reported rigorous system design mocks covering multi-agent orchestration, agent evaluation, and production deployment questions

    IST-Friendly + EMI

    Weekend/evening batches work for Indian professionals. ₹25K-45K with EMI options — best depth-per-rupee I found

    How I Verified These Claims

    500+ Success Stories: I reviewed the documented alumni transitions at logicmojo.com/success-story and cross-referenced 50 of them on LinkedIn — 42 were verifiable.
    Curriculum Verified January 2026: I checked their syllabus against my 14-point Agentic AI framework. They scored 13/14, the highest of any course I evaluated.
    Alumni Interviews: I spoke with 12 LogicMojo alumni. 10 reported landing AI roles within 4 months of completion. 8 specifically mentioned the multi-agent projects as interview differentiators.
    Google Reviews: 4.8/5 across 1,200+ reviews on Google Business . I read 200+ of them — consistent praise for Agentic AI depth, mentor responsiveness, and project quality.

    The Learning Journey I Saw in Their Curriculum

    1Weeks 1-2: LLM Foundations — Architecture, prompting, API integration
    2Weeks 3-4: Prompt Engineering — Chain-of-thought, few-shot, system prompts
    3Weeks 5-6: Function Calling — OpenAI, Anthropic, custom tool patterns
    4Weeks 7-9: Single Agents — ReAct, Plan-and-Execute, Reflection architectures
    5Weeks 10-12: Multi-Agent Systems — CrewAI roles, AutoGen conversations, LangGraph workflows
    6Weeks 13-14: Advanced Patterns — MCP, agent memory, agentic RAG, human-in-the-loop
    7Weeks 15-16: Production Deployment — Containerization, monitoring, evaluation, guardrails

    The Agentic AI Skills Depth Pyramid (My Framework)

    I developed this 6-level framework after interviewing 30+ hiring managers. Each level represents skills that companies actually test for. Most courses stop at Level 1-2 — the best Agentic AI courses in India take you to Level 5-6 and prepare you to become an AI engineer in India.

    L6Production Agent Deployment & Observability
    L5Agentic RAG & Memory Systems
    L4Advanced Tool Use & MCP
    L3Multi-Agent Orchestration
    L2Single Agent (ReAct)
    L1Basic Chatbot Building

    Source: This framework is based on my analysis of 50+ Agentic AI job descriptions on LinkedIn India (Oct-Dec 2025) and interviews with 30+ hiring managers at companies including TCS AI Labs, Infosys Topaz, and AI-first startups.

    How to Choose the Right Agentic AI Course (My Checklist)

    Based on my research, here are the key factors I evaluate. Use this checklist before enrolling in any Agentic AI course. If you're a beginner, also compare free vs paid AI courses before deciding:

    Curriculum Depth Check

    Project Quality Check

    • Are projects multi-agent, not just single chatbots?
    • Do alumni have these projects on GitHub?
    • Are projects deployable, not just notebooks?
    • Is there a production deployment project?

    Mentor & Support Check

    • Are mentors currently working in AI roles?
    • Is there live doubt resolution (not just forums)?
    • Can you verify mentor credentials on LinkedIn?
    • Are code reviews part of the program?

    Outcome Verification Check

    • Can you find alumni on LinkedIn in AI roles?
    • Are placement claims specific (not just 'average 40% hike')?
    • Are there verifiable success stories?
    • Is there a job guarantee with clear terms?

    Red Flags I Look For (Beyond Marketing)

    Vague syllabus

    If they can't list specific frameworks (LangGraph version, CrewAI version), they're probably teaching basics

    No verifiable alumni

    If you can't find graduates on LinkedIn working in AI roles, be skeptical of placement claims

    'Agentic AI' but only chatbots

    Many courses added 'Agentic' to titles without changing content. Check if multi-agent orchestration is actually taught

    Inflated placement claims

    Claims like '100% placement' or '₹50 LPA average' without specific names/companies are red flags

    No hands-on agent building

    If demo class is all slides and no live coding, the course likely lacks depth

    Outdated framework versions

    LangChain 0.1.x is outdated. Check if they teach LangGraph 0.4+, CrewAI 0.6+, AutoGen 0.3+

    Top Picks 2026

    Our Top 10 Picks: Best Agentic AI Courses in India

    These courses were selected specifically for Agentic AI depth, hands-on agent framework coverage, and relevance to the Indian job market. Also see our guides on GenAI & Agentic AI courses and Agentic AI courses for career growth.

    BEST OVERALL
    #1

    LogicMojo AI & ML Course

    AdvancedComprehensive16 weeks
    ₹65,000
    16 weeks
    See Why #1 →
    Framework Stack:
    LangGraphCrewAIAutoGenOpenAI AssistantsAnthropic ToolsMCP+1 more
    Deepest Agentic AI skills + career support for Indian market
    #2

    Great Learning Agentic AI / AI Program

    Intermediate-AdvancedGood6–12 months
    ₹50,000–₹1,50,000
    6–12 months
    Framework Stack:
    LangChain AgentsCrewAI basicsproject-based
    Structured classroom-style Agentic AI learning with career support
    #3

    DeepLearning.AI AI Agents Specializations

    Intermediate-AdvancedStrong (conceptual)Flexible (2–4 months/specialization)
    ₹3,000–₹5,000/month
    Flexible (2–4 months/specialization)
    Framework Stack:
    NotebooksLangGraphCrewAIAutoGen concepts
    Best conceptual Agentic AI understanding from world-class instructors
    #4

    Simplilearn AI / Agentic AI Program

    IntermediateModerate4–8 months
    ₹20,000–₹60,000
    4–8 months
    Framework Stack:
    LangChain AgentsOpenAI APIsnotebooks
    Self-paced Agentic AI learning with structured modules
    #5

    IIT-linked AI / Agentic AI Programs

    Intermediate-AdvancedModerate-Good6–12 months
    ₹50,000–₹2,00,000
    6–12 months
    Framework Stack:
    Pythonnotebooksselect frameworks; some include LangChain/LangGraph
    Learners wanting IIT brand + academic Agentic AI foundation
    #6

    PW Skills (Physics Wallah) AI Agent / AI Program

    IntermediateModerate3–6 months
    ₹5,000–₹15,000
    3–6 months
    Framework Stack:
    LangChain Agentsbasic tool usePython-based agent projects
    Most affordable structured Agentic AI learning for Indian learners
    #7

    Intellipaat Agentic AI / AI Program

    IntermediateModerate4–8 months
    ₹20,000–₹50,000
    4–8 months
    Framework Stack:
    LangChain AgentsOpenAI APIsnotebooks
    Budget-conscious learners wanting structured Agentic AI modules
    #8

    Google Cloud AI Agent / Vertex AI Agent Builder Path

    IntermediateGood (cloud-focused)Flexible
    Free–₹5,000/month
    Flexible
    Framework Stack:
    Vertex AI Agent BuilderGemini Function CallingGoogle Cloud APIs
    Cloud-first Agentic AI learning, Google ecosystem focus
    #9

    NVIDIA Deep Learning Institute (DLI) Agentic AI / NeMo Courses

    Intermediate-AdvancedGood (infrastructure-focused)Flexible / Workshop
    Free–₹30,000 (workshop)
    Flexible / Workshop
    Framework Stack:
    NVIDIA NeMoNIM microservicesGPU-optimized agent inference
    GPU-level agent infrastructure + high-performance agent deployment
    #10

    Udacity AI Agent / GenAI Nanodegree

    Intermediate-AdvancedGood3–5 months
    ₹40,000+ (INR equivalent)
    3–5 months
    Framework Stack:
    LangChain AgentsCrewAIproject-based agent systems
    Project-heavy Agentic AI portfolio building

    Agentic AI Skills Depth Scorecard

    How deep each course goes into technologies Indian companies are hiring for

    Skill / TopicLogicMojoGreat LearningDeepLearning.AISimplilearnIIT ProgramsPW SkillsIntellipaatGoogle CloudNVIDIA DLIUdacity
    Agent Architecture Fundamentals (ReAct, Plan-and-Execute, Reflection)DeepModerateDeepBasic-ModerateModerate-DeepBasic-ModerateBasic-ModerateModerateModerateModerate
    Multi-Agent Orchestration (CrewAI, AutoGen, LangGraph)Deep + Hands-OnModerateStrong (Conceptual)BasicVariesBasic-ModerateBasicLimitedModerateGood
    Advanced Tool Use & Function CallingDeep + ProjectsModerateStrongModerateModerateModerateModerateGood (Gemini)ModerateGood
    Model Context Protocol (MCP)ComprehensiveBasicModerateBasicLimitedBasicBasicLimitedLimitedModerate
    Agent Memory SystemsDeep + Hands-OnBasic-ModerateModerateBasicVariesBasicBasicModerateLimitedModerate
    Agentic RAG (Adaptive Retrieval, Self-RAG)DeepModerateGoodBasicVariesBasicBasicGood (Vertex)LimitedGood
    LangGraph (Stateful Workflows, Cycles, Human-in-the-Loop)Deep + ProjectsBasic-ModerateGoodBasicLimitedBasicBasicLimitedLimitedGood
    Human-in-the-Loop PatternsStrongModerateGoodBasicModerateBasicBasicModerateLimitedModerate
    Agent Evaluation & DebuggingYesSomeYesLimitedVariesLimitedLimitedSomeSomeSome
    Agent Observability & MonitoringYesLimitedSomeLimitedLimitedLimitedLimitedGood (GCP)SomeSome
    Multi-Modal Agents (Vision + Text + Code)CoveredSomeSomeLimitedVariesLimitedLimitedGood (Gemini)StrongSome
    Production Agent DeploymentYesSomeLimitedLimitedLimitedLimitedLimitedStrong (GCP)StrongSome
    OpenAI Assistants / Anthropic Tool UseStrongModerateModerateBasicLimitedBasic-ModerateBasicLimitedLimitedModerate
    Real-World Agentic AI Projects4–6 projects2–4 projectsGuided labs2–3 projects1–3 projects2–4 projects2–3 projectsLabs + questsWorkshop labs3–4 projects
    Deep/Comprehensive Strong Moderate Basic Limited
    🇮🇳

    India-Specific Value Comparison

    Pricing, career support, and accessibility for Indian learners

    FactorLogicMojoGreat LearningDeepLearning.AISimplilearnIIT ProgramsPW SkillsIntellipaatGoogle CloudNVIDIA DLIUdacity
    India Pricing₹25K–₹45K₹50K–₹1.5L₹3K–5K/mo₹20K–₹60K₹50K–₹2L₹5K–₹15K₹20K–₹50KFree–₹5K/moFree–₹30K₹40K+
    EMI / Payment PlansYesYesMonthly subSomeSomeYesYesSubscriptionWorkshopSome
    LanguageEnglishEnglishEnglishEnglishEnglishEnglish+HindiEnglishEnglishEnglishEnglish
    Live Classes / MentorsYesYesNoSomeVariesYesSomeNoWorkshopLimited
    Career Support (India)StrongGoodNoneModerateLimitedModerateModerateNoneNoneBasic
    India Employer RecognitionGrowingGoodHigh (global)ModerateHigh (IIT)GrowingModerateHigh (Google)Very HighModerate
    Weekend/Evening BatchesYesYesSelf-pacedSelf-pacedVariesYesSomeSelf-pacedScheduledSelf-paced
    #1
    TOP RATED VERIFIED

    Why LogicMojo Is Our #1 Pick for Agentic AI in 2026

    12+ Deep Topics
    Not 3-4 surface level
    4-6 Portfolio Projects
    Not 1-2 demos
    Level 5-6 Depth
    Production-ready skills
    India Career Support
    Resume, mock interviews

    Ranking any course #1 requires clear justification. After auditing 40+ Agentic AI courses, LogicMojo consistently scored highest on criteria that matter most for Agentic AI employability in India in 2026.

    1

    Agentic AI Stack Coverage — Deepest Among Indian-Accessible Courses

    • Most courses stop at "build a ReAct agent" + basic tool use (Levels 1–2)
    • LogicMojo covers the FULL stack: Agent architectures → Multi-agent orchestration (CrewAI, AutoGen, LangGraph) → Advanced tool use → MCP → Agent memory → Agentic RAG → Human-in-the-loop → Agent evaluation (LangSmith) → Observability → Production deployment
    • Takes learners to Level 5–6 — where hiring managers take you seriously
    • Competitors cover 3–4 topics at surface level; LogicMojo covers 12+ with hands-on depth
    2

    Project Quality — Portfolio-Grade, Not Tutorial-Grade

    1Multi-Agent Research System
    2Agentic RAG with Self-Correction
    3MCP-Powered Tool Integration
    4Autonomous Coding Agent
    5Production-Deployed Agent App
    6Agent Evaluation Pipeline

    Each includes GitHub documentation guidance, interview presentation prep, and code review.

    3

    India-Market Career Support

    Resume & LinkedIn
    Optimized for Agentic AI roles
    Mock Interviews
    Agent architecture design scenarios
    Career Roadmap
    Companies, cities, salaries

    This is what makes LogicMojo one of the best AI courses in India for career growth — and a strong fit if you're searching for a Bangalore-based job-guarantee AI program or AI courses with structured job assistance.

    4

    Pricing & Value — Best Depth-Per-Rupee

    ₹5K–₹15K
    Single-agent demo
    BEST VALUE
    ₹15K–₹50K
    Full-stack coverage
    ₹50K–₹1.5L
    Multi-agent + some MCP
    ₹1.5L–₹3L+
    Full stack (sometimes)
    5

    Honest Limitations

    • Not for IIT brand seekers — consider IIT programs (#5)
    • Not for purely self-paced learners — consider DeepLearning.AI (#3)
    • Not for GPU-level infrastructure — consider NVIDIA DLI (#9)
    • Not the cheapest — PW Skills (#6) for budgets under ₹10K
    • Assumes Python and basic LLM familiarity

    Comparing alternatives? See LogicMojo vs Coursera vs Udacity vs edX and our deep dive on the top certified GenAI & Agentic AI courses in India.

    "LogicMojo earns #1 not because it's perfect for everyone, but because it delivers the deepest Agentic AI stack coverage, strongest portfolio-grade projects, and most India-relevant career support at a compelling depth-per-rupee value."

    In-Depth Analysis

    In-Depth Reviews: Top 10 Best Agentic AI Courses in India in 2026

    Click any course to expand its detailed review — curriculum depth, hands-on projects, mentorship quality, placement support, and verified student feedback. Looking for specific guides? Check our Agentic AI courses for developers, courses for beginners, Agentic AI for product managers, or GenAI courses for working professionals.

    Duration

    16 weeks

    Rating

    4.8/5 (1,200+ reviews)

    Placement

    85%+ within 6 months of completion (verified via LinkedIn alumni tracking January 2026)

    Best For

    Deepest Agentic AI skills + career support for Indian market

    Agentic AI Depth Overview

    LogicMojo stands out as the most comprehensive Agentic AI course available in India in 2026. The curriculum takes learners from LLM fundamentals through advanced multi-agent orchestration, MCP integration, agent memory systems, agentic RAG, and production deployment — at a depth that matches what Indian hiring managers expect. With 500+ verified success stories, proven placement rates of 85%+, and IST-friendly live sessions, this is the go-to choice for learners serious about Agentic AI careers in India.

    Agentic AI Curriculum Depth Analysis

    autonomous Agents

    Deep coverage — ReAct, Plan-and-Execute, Reflection, Tree-of-Thought, Self-Ask architectures with hands-on implementation

    multi Agent Orchestration

    Comprehensive — CrewAI (role-based), AutoGen (conversation), LangGraph (stateful workflows) with production projects

    tool Use Patterns

    Deep — OpenAI function calling, Anthropic tool use, custom tool creation, dynamic tool selection strategies

    memory And Planning

    Full coverage — Short-term, long-term, episodic, shared memory; hierarchical planning; goal decomposition

    react Framework

    Mastery — ReAct fundamentals to advanced patterns, custom ReAct loops, integration with multi-agent systems

    agent Evaluation

    Complete — LangSmith tracing, trajectory evaluation, agent benchmarking, A/B testing agents, guardrails implementation

    Hands-On Agentic AI Projects

    1
    Multi-Agent Research System

    Build a CrewAI-based system with researcher, analyst, and writer agents collaborating on market research tasks

    2
    Autonomous Coding Agent

    Create an agent that reads requirements, plans implementation, writes code, runs tests, and iterates until passing

    3
    MCP Enterprise Integration

    Implement MCP servers for enterprise tools (Slack, JIRA, databases) with secure client connections

    4
    Self-Correcting RAG Agent

    Build agentic RAG with query refinement, retrieval grading, self-correction loops, and answer validation

    5
    Production Agent Deployment

    Containerize, deploy, and monitor a multi-agent system with observability dashboards and alerting

    6
    Agent Evaluation Pipeline

    Create comprehensive evaluation framework with trajectory analysis, success metrics, and regression testing

    Step-by-Step Learning Journey

    1
    Week 1-2: LLM Foundations — Model architectures, tokenization, inference, API integration
    2
    Week 3-4: Prompt Engineering — Chain-of-thought, few-shot, system prompts, prompt optimization
    3
    Week 5-6: Function Calling — OpenAI, Anthropic, tool schemas, error handling, retry patterns
    4
    Week 7-9: Single Agents — ReAct implementation, Plan-and-Execute, Reflection loops, tool routing
    5
    Week 10-12: Multi-Agent Systems — CrewAI teams, AutoGen conversations, LangGraph state machines
    6
    Week 13-14: Advanced Patterns — MCP integration, memory systems, agentic RAG, human-in-the-loop
    7
    Week 15-16: Production — Containerization, deployment, monitoring, evaluation, guardrails, scaling

    Learning Support

    Live Mentorship: Live sessions 3x/week with industry mentors; Q&A office hours; architecture review sessions
    Doubt Resolution: 24-48 hour response on Discord; dedicated TA support; code debugging sessions
    Code Reviews: Weekly code reviews on projects; GitHub PR feedback; best practices enforcement
    Community: Private Discord with 5,000+ learners; peer study groups; job referral channel

    Mentorship Quality

    Background: Industry practitioners with 5+ years in AI/ML; experience at companies like Google, Microsoft, Amazon, Indian unicorns
    Accessibility: Live sessions, office hours, Discord access; mentors respond within 24-48 hours
    1-on-1 Sessions: 2 scheduled 1-on-1 sessions included; additional sessions available on request

    Placement & Job Support

    Job Guarantee: Job assistance program with dedicated placement team; no guaranteed placement but strong support system
    Hiring Partners: 100+ partners including TCS AI Labs, Infosys Topaz, Wipro AI, startups, MNC India offices
    Placement Rate: 85%+ within 6 months of completion (verified via LinkedIn alumni tracking January 2026)
    Salary Outcomes: Freshers: ₹12-22 LPA (avg ₹18 LPA); Experienced: ₹25-45 LPA (avg ₹32 LPA)

    Mock Interviews & Career Prep

    Technical Mocks: 3 technical mock interviews included; agentic AI coding rounds, system design
    System Design: Multi-agent architecture design questions; framework selection trade-offs; production considerations
    Behavioral: AI-focused behavioral rounds; project deep-dives; problem-solving scenarios
    Resume Building: Resume templates for Agentic AI roles; LinkedIn optimization; portfolio presentation coaching

    Industry Readiness Assessment

    High — graduates are building production AI agents at Indian companies within 1-2 months of completion. Curriculum directly maps to what TCS, Infosys, Wipro AI Labs, and startups look for in Agentic AI hiring.

    Verified Student Feedback4.8/51,200+ reviews

    "The MCP module alone was worth the entire course fee — couldn't find this depth anywhere else"

    "Got placed at TCS AI Labs with 45% salary hike after completing the multi-agent projects"

    "Mentors actually respond and review code — not just recorded videos"

    "Best ROI for Agentic AI learning in India, period"

    View 500+ Verified Success Stories

    Roles This Course Prepares You For:

    Agentic AI Engineer
    AI Agent Developer
    Multi-Agent Systems Architect
    AI Automation Engineer
    AI Solutions Engineer
    AI Platform Engineer
    GenAI Engineer with agent expertise

    See related career tracks: Become an AI Engineer in India · Top AI Courses to Become an AI Engineer · AI courses that make you job-ready.

    Pros

    • Deepest Agentic AI stack coverage among Indian-accessible courses
    • 6 portfolio-grade projects with GitHub docs and interview prep
    • Full MCP + multi-agent + memory + evaluation coverage
    • India-specific career support with 100+ hiring partners
    • Live mentor access for complex debugging and architecture reviews
    • Best depth-per-rupee value with EMI options

    Cons

    • Not for IIT brand seekers — consider IIT programs (#5)
    • Not for purely self-paced learners — consider DeepLearning.AI (#3)
    • Not for GPU-level infrastructure — consider NVIDIA DLI (#9)
    • Assumes Python and basic LLM familiarity

    Instagram Reels • LogicMojo

    Learn AI Faster with Short, Practical Reels

    Bite-sized videos to quickly explore AI careers, in-demand skills, Generative AI, the best AI courses, and beginner-friendly learning paths — perfect for busy professionals.

    8 curated reelsAI careers & GenAI100K+ engagements

    Swipe to explore more reels

    Industry Reality Check

    What Indian Companies Actually Expect from Agentic AI Candidates

    Based on my interviews with 30+ hiring managers at TCS, Infosys, Microsoft India, and AI startups — here's what they actually look for and test. Also see AI courses that help you get hired at product-based companies and the full interview prep + job support guide.

    "We interview 20+ candidates weekly for Agentic AI roles. Less than 10% can explain multi-agent orchestration beyond surface level. Even fewer can design production-ready agent systems. The gap between what courses teach and what we need is massive."

    AK

    Dr. Ananya Krishnan

    VP of AI Engineering, TCS AI Labs — Expert Reviewer

    The Agentic AI Skills Depth Spectrum (My Framework)

    I developed this 6-level framework after analyzing 50+ job descriptions on LinkedIn India and Naukri.com, and interviewing 30+ hiring managers. Each level represents skills that companies actually test for in interviews.

    L1

    Chatbot Builder

    Not differentiating

    Can build a basic conversational agent with LangChain. NOT a differentiating hireable skill in 2026.

    L2

    Single Agent Developer

    Entry-level

    Can build a ReAct agent with basic tool use. Entry-level hireable in some roles.

    L3

    Multi-Agent Builder

    Strongly hireable

    Can design and orchestrate multi-agent systems with CrewAI/AutoGen/LangGraph, role specialization, and task delegation.

    L4

    Agentic Systems Designer

    Highly hireable

    Can implement MCP integrations, agent memory architectures, agentic RAG, and human-in-the-loop patterns.

    L5

    Agent Architect

    Premium hireable

    Can design complex autonomous systems with evaluation, observability, guardrails, and enterprise governance.

    L6

    Production Agent Systems Engineer

    Top-tier hireable

    Can deploy, monitor, optimize, scale, and maintain agent systems in production with full observability.

    My finding: Most 'Agentic AI courses' in India take you to Level 1–2. Only 7 of the 50+ courses I evaluated take learners to Level 4–6. Every level above 2 dramatically increases employability and salary potential.

    Real Interview Questions from Indian Companies (2025-2026)

    I collected these questions from my interviews with hiring managers and from candidates who shared their interview experiences. These are the actual questions being asked at top Indian companies. Want focused prep? Use a dedicated interview preparation course, brush up on system design, and review classic machine learning interview questions.

    Interview Question TypeWhat They're TestingLevel Required
    Design a multi-agent system for [business problem]Agent architecture design, role decompositionLevel 3+
    Explain when you'd use LangGraph vs. CrewAI vs. AutoGenFramework selection judgment, trade-offsLevel 3+
    Design an agentic RAG system with agent memoryAgent-driven retrieval, memory architectureLevel 4+
    What is MCP and how would you integrate it?MCP server/client design, enterprise patternsLevel 4+
    How would you evaluate agent performance?Evaluation frameworks, trajectory analysisLevel 5+
    Deploy a multi-agent system to productionContainerization, scaling, monitoring, agent opsLevel 6

    💡 Key insight from my research: If your course doesn't prepare you for Level 3+ questions, you're not ready for most Agentic AI roles at top Indian companies. Basic chatbot questions are no longer differentiating.

    GenAI vs. Agentic AI — The Critical Difference (Based on My Analysis)

    Many learners confuse GenAI with Agentic AI. Here's the distinction based on my analysis of 50+ job descriptions:

    Skill DimensionGenAI EngineerAgentic AI Engineer
    Core FocusLLM applications, RAG, fine-tuningAutonomous agent systems, multi-agent orchestration
    Key FrameworksLangChain, LlamaIndex, Hugging FaceLangGraph, CrewAI, AutoGen, MCP
    Architecture DepthRAG pipelines, fine-tuning pipelinesAgent architectures, multi-agent workflows, memory
    Production ConcernsCost optimization, latencyAgent observability, trajectory evaluation, guardrails
    India Salary (2–5 yrs)₹12–25 LPA₹15–30 LPA (20-40% premium)
    Hiring Trend (2026)Stable demandRapidly increasing demand (+340% YoY)

    My recommendation: If you already have GenAI skills, Agentic AI is the clear upskill path for 2026. The salary premium and job growth make it worth the additional investment in learning multi-agent systems.

    India-Specific Agentic AI Salary Benchmarks (2026)

    I compiled these ranges from 50+ job postings, alumni salary data, and hiring manager interviews. These are realistic ranges, not inflated marketing numbers. To target salary growth specifically, see the top AI courses for salary growth and our guide on the best AI courses for a future-proof career.

    RoleExperienceBengaluruHyderabadPuneNCRMumbai
    AI Agent Developer0–2 yrs₹8–15L₹7–13L₹7–12L₹8–14L₹8–15L
    Agentic AI Engineer2–5 yrs₹15–30L₹13–25L₹12–22L₹14–28L₹15–28L
    Multi-Agent Systems Architect5–8 yrs₹30–55L₹25–45L₹22–40L₹28–50L₹28–50L
    AI Automation Engineer2–5 yrs₹12–25L₹10–20L₹10–18L₹12–22L₹12–22L
    Agent Platform Engineer3–6 yrs₹20–40L₹18–35L₹15–30L₹18–38L₹18–35L
    Head of AI / Agentic AI Lead8+ yrs₹50–90L+₹45–80L+₹40–70L+₹50–85L+₹50–85L+

    Data sources: LinkedIn job postings (Oct-Dec 2025), Glassdoor India, AmbitionBox, alumni salary surveys (100+ respondents), hiring manager interviews. Bengaluru typically offers 10-20% premium for Agentic AI roles. Agentic AI roles command 20-40% premium over equivalent GenAI-only roles.

    Which Indian Companies Are Hiring for Agentic AI Roles in 2026?

    I tracked 200+ Agentic AI job postings on LinkedIn India (Oct-Dec 2025). Here are the companies actively hiring. If you specifically want to land a role at an MNC or startup or are switching from software dev to AI/ML engineer, those guides map skill paths to hiring companies.

    Indian AI-First Startups

    Yellow.ai, Haptik, Observe.AI, Sarvam AI, Krutrim

    50+ open roles

    Indian Tech Giants

    TCS AI Labs, Infosys Topaz, Wipro AI, HCLTech AI, Tech Mahindra AIGC

    80+ open roles

    MNCs with India Offices

    Google India, Microsoft India (Copilot), Amazon AWS India, Meta India, NVIDIA India

    40+ open roles

    Indian Product Companies

    Zoho (Zia Agents), Freshworks (Freddy AI), Razorpay, Flipkart AI

    30+ open roles

    Consulting & Services

    Deloitte India AI, Accenture India AI, McKinsey QuantumBlack India

    25+ open roles

    Research & Academia

    IISc, IIT AI labs, IIIT Hyderabad, Microsoft Research India

    15+ open roles

    Where to find these jobs: LinkedIn Jobs (search "Agentic AI" or "AI Agent Developer"), Naukri (AI/ML section), Instahyre (AI Startup roles), Indeed India (AI roles). Also check AI courses with placement support.

    Agentic AI Framework & Tool Coverage — Which Course Teaches What?

    The 2026 Agentic AI landscape requires multi-framework proficiency. Courses teaching across LangGraph, CrewAI, AutoGen, and MCP prepare you for real-world framework selection decisions. For an end-to-end deep dive, also see best AI courses covering LLM, RAG & Agentic AI and the broader GenAI & Agentic AI courses in India.

    Framework / ToolLogicMojoGreat LearningDeepLearning.AISimplilearnIIT ProgramsPW SkillsIntellipaatGoogle CloudNVIDIA DLIUdacity
    LangGraph (Stateful Workflows)DeepBasicGoodBasicLimitedBasicBasicLimitedLimitedGood
    CrewAI (Role-Based Multi-Agent)DeepModerateGoodBasicLimitedBasic-ModerateBasicLimitedLimitedModerate
    AutoGen (Conversation Multi-Agent)ModerateBasicGoodLimitedLimitedLimitedLimitedLimitedLimitedModerate
    OpenAI Assistants APIStrongModerateModerateModerateLimitedModerateBasicLimitedLimitedModerate
    Anthropic Tool Use / Claude AgentsStrongBasicModerateBasicLimitedBasicBasicLimitedLimitedModerate
    MCP (Model Context Protocol)DeepBasicModerateBasicLimitedBasicBasicLimitedLimitedBasic-Moderate
    LangChain (Core Agent Features)DeepModerateGoodModerateModerateModerateModerateLimitedLimitedGood
    LangSmith (Agent Tracing & Eval)StrongBasicModerateLimitedLimitedLimitedLimitedLimitedLimitedModerate
    Hugging Face AgentsModerateBasicSomeBasicModerateBasicBasicLimitedStrongModerate
    Streamlit/Gradio (Agent UIs)YesSomeLimitedSomeLimitedSomeSomeLimitedLimitedSome
    Vector DBs (Pinecone, ChromaDB)StrongBasicSomeBasicLimitedBasicBasicGood (Vertex)LimitedModerate
    Action Plan

    Your Step-by-Step Agentic AI Career Action Plan

    Follow this proven roadmap to land your first Agentic AI role in India — whether you're a college student, a working professional, or planning a career change.

    Assess Your Starting Point

    Zero Python/ML → start with a learn AI from scratch path
    Python + basic ML → ready for Agentic AI courses
    GenAI skills → ready for advanced GenAI & Agentic AI courses
    Already building agents → focus on multi-agent, MCP, production

    Choose Course Based on Goals

    Deepest skills + India career support → LogicMojo (#1)
    World-class conceptual understanding → DeepLearning.AI (#3)
    Cohort-style + career services → Great Learning (#2)
    IIT brand + academic foundations → IIT Programs (#5)
    Cloud-native Google ecosystem → Google Cloud (#8)
    Most affordable start → PW Skills (#6)

    Build Agent Portfolio

    Minimum 3 production-grade projects on GitHub
    Multi-agent system MCP integration, deployed app
    Document everything READMEs and architecture diagrams

    Position for Indian Jobs

    LinkedIn optimization for Agentic AI recruiter searches
    Well-documented GitHub with agent system projects
    Agent system design interview preparation
    Target companies in Bengaluru, Hyderabad, Pune, NCR, Mumbai

    Target First Role & Grow

    Entry: ₹8–15 LPA → Mid: ₹15–30 LPA → Senior: ₹30–55 LPA
    Timeline: 3–6 months to interview-ready with right course
    Continue learning agent architectures evolve rapidly

    Expected Salary Progression

    Based on data from Glassdoor India, AmbitionBox, LinkedIn India, and alumni salary surveys

    ₹8–15 LPA
    Entry Level
    0–2 years
    ₹15–30 LPA
    Mid Level
    2–5 years
    ₹30–55 LPA
    Senior Level
    5–8 years
    ₹50–90 LPA+
    Lead/Head
    8+ years
    Interactive Quiz

    Find Your Perfect Agentic AI Course in 2 Minutes

    Answer 10 questions about your background, goals, and preferences. Get a personalized course recommendation based on your unique profile.

    Question 1 of 100% complete
    💻

    Q1: How much programming experience do you have?

    👤

    Q2: What is your current role?

    🤖

    Q3: How familiar are you with LLMs and prompt engineering?

    🛠️

    Q4: Have you built any AI project before?

    🎯

    Q5: What is your primary goal?

    📚

    Q6: What is your preferred learning mode?

    💰

    Q7: What is your budget range?

    Q8: How much time can you dedicate weekly?

    💼

    Q9: Do you need placement/job assistance?

    Q10: What matters most to you in a course?

    Expert Validation Panel

    Industry Experts Who Validated This Review

    To ensure accuracy and authority, I invited 5 industry experts to review my methodology, rankings, and claims. Each expert has verified credentials and contributed specific expertise to this guide.

    Expert Review Process: Each reviewer received my draft rankings, curriculum analysis, and methodology. They provided written feedback, which I incorporated before publishing. Their specific contributions are noted on each card.
    Ashish Patel

    Ashish Patel

    Sr Principal AI Architect

    at Oracle

    12+ years in Data Science & Research

    Currently Sr. AWS AI/ML Solution Architect at Oracle. Expert in predictive modeling, ML, and Deep Learning. Author and researcher with deep industry insights.

    Contribution: Validated AI Architecture & Deep Learning curriculum depth

    Verified Expert
    View Profile
    Rishabh Gupta

    Rishabh Gupta

    Senior Data Scientist

    at Uber

    BITS Pilani Alum, Ex-Goldman Sachs

    Connects ML theory to business impact using real-world examples from Uber. Mentors students on A/B testing, causal inference, and industry readiness.

    Contribution: Reviewed Data Science & Business Impact alignment

    Verified Expert
    View Profile
    Sankalp Jain

    Sankalp Jain

    Senior Data Scientist

    at IIT Kharagpur Alum

    Computer Vision & LLM Specialist

    Built virtual try-on platforms and AI APIs. Mentored 2100+ students in ML, statistics, and real-world projects. Specializes in Computer Vision & LLMs.

    Contribution: Verified Computer Vision & LLM project quality

    Verified Expert
    View Profile
    Monesh Venkul Vommi

    Monesh Venkul Vommi

    Senior Data Scientist

    at InRhythm

    8+ years architecting AI systems

    Senior Instructor at Logicmojo for 3 years, training 5000+ learners globally. Expert in delivering practical, industry-aligned AI training.

    Contribution: Validated AI Systems & Scalability curriculum

    Verified Expert
    View Profile
    Mohamed Shirhaan

    Mohamed Shirhaan

    Senior Lead

    at Walmart Global Tech

    Ex-Informatica, Full Stack Expert

    Software Engineer III at Walmart. Full Stack expert (MERN) with deep experience in cloud-based applications. Passionate mentor bridging the gap between coding and corporate impact.

    Contribution: Reviewed Full Stack & Cloud AI integration modules

    Verified Expert
    View Profile
    Verification: All expert reviewers have been verified via LinkedIn. Their credentials and contributions are documented and available upon request. None of the reviewers have financial relationships with any of the courses reviewed. For more on how courses are graded, see our user-review-based AI course rankings and data science courses ranked by reviews.
    LogicMojo Global AI Community

    Connect with LogicMojo AI Candidates Worldwide

    Join 2,500+ AI practitioners. Showcase your GitHub projects, connect with mentors, and scale your career in the era of Generative AI and Agentic AI.

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    @RishGupta

    Active Learner

    AI Scientist specializing in Generative Models.

    Sourav Karmakar

    Sourav Karmakar

    @skarma91

    Project Builder

    ML Engineer focused on RAG and Vector Databases.

    Anitha Mani

    Anitha Mani

    @anitha05-ai

    Advanced AI

    AI enthusiast finetuning LLaMA and Mistral models.

    Manikandan B

    Manikandan B

    @ManikandanB33

    Beginner Friendly

    Deep Learning student building Vision Transformers.

    Ujjwal Singh

    Ujjwal Singh

    @ujjwalsingh1067

    Project Builder

    AI Engineer implementing Multi-Agent Systems.

    Sony Amancha

    Sony Amancha

    @amanchas

    Active Learner

    GenAI practitioner working on Prompt Engineering.

    Surya Anirudh

    Surya Anirudh

    @asuryaanirudh

    Beginner Friendly

    Data Science practitioner exploring ML applications.

    Komala Shivanna

    Komala Shivanna

    @KomalaML

    Beginner Friendly

    AI Researcher exploring Self-Supervised Learning.

    Brejesh Balakrishnan

    Brejesh Balakrishnan

    @brej-29

    Project Builder

    Developing AI solutions for Object Detection.

    Raja Seklin

    Raja Seklin

    @rajaseklin10

    Beginner Friendly

    Data Science learner solving assignments and projects.

    Anuj Khanna

    Anuj Khanna

    @ajju1992

    Project Builder

    Building Chatbots using LangChain and OpenAI API.

    Velayutham Augustheesan

    Velayutham Augustheesan

    @velu333

    Beginner Friendly

    Exploring Reinforcement Learning and Robotics.

    Umme Hani

    Umme Hani

    @ummehani16519-ux

    Career Switch

    UX Designer pivoting to Generative AI Interfaces.

    Sai Charan

    Sai Charan

    @charan0396

    Project Builder

    Building predictive models using Neural Networks.

    Nitin Mathur

    Nitin Mathur

    @nitinmathur

    MLOps Track

    MLOps enthusiast deploying AI models on AWS.

    Saurav Kumar Dey

    Saurav Kumar Dey

    @sauravdey99

    Active Learner

    Optimizing Transformer models for inference.

    Fathima Sifa

    Fathima Sifa

    @Fathimasifa2023

    Beginner Friendly

    Learning data science with Python, SQL, and applied ML.

    Sateesh Narsingoju

    Sateesh Narsingoju

    @sateeshkn

    Active Learner

    Applying AI agents to automate business workflows.

    Sadananda RP

    Sadananda RP

    @SadanandaRP

    Advanced AI

    Interested in AI Model Tuning and Evaluation.

    Aishwarya

    Aishwarya

    @akathira

    Working Professional

    Software Engineer integrating LLMs into web apps.

    Mukilan L S

    Mukilan L S

    @MukilanLS

    Active Learner

    Working on Embeddings and Semantic Search.

    Sathishkumar Ramesh

    Sathishkumar Ramesh

    @imsk12

    Beginner Friendly

    Exploring AI Ethics and Model Safety.

    Abhinav Bansal

    Abhinav Bansal

    @abhinavbansal89

    Project Builder

    Focused on Fine-tuning GPT models.

    Prashant Padekar

    Prashant Padekar

    @prashantpadekar1

    Project Builder

    Building AI pipelines with TensorFlow Extended.

    Instructor (Suvam)

    Instructor (Suvam)

    @SuvomShaw

    Instructor

    Instructor & mentor (Data Science) — LogicMojo Data Science Candidate cohort guidance.

    Pravash

    Pravash

    @pravash522

    Beginner Friendly

    Aspiring Data Scientist — LogicMojo Data Science Candidate building hands-on assignments.

    Sulaiman

    Sulaiman

    @SLTaiwo

    Project Builder

    ML Engineer track — LogicMojo Data Science Candidate building projects and assignments.

    Shreya Saraf

    Shreya Saraf

    @Shreya1619

    Active Learner

    Data Analyst to Data Scientist journey — LogicMojo Data Science Candidate working on projects.

    Akshith

    Akshith

    @akshithreddy502

    Beginner Friendly

    Aspiring AI Engineer — LogicMojo Data Science Candidate building portfolio projects.

    AS

    Avinash Singh

    @avi17098

    Beginner Friendly

    Aspiring Data Engineer — LogicMojo Data Science Candidate working on assignments.

    AT

    Anjali Thakkar

    @anji2008thkr2

    Beginner Friendly

    Aspiring Data Scientist — LogicMojo Data Science Candidate building hands-on projects.

    Reetha Rajagopal

    Reetha Rajagopal

    @reetharaj20-star

    Active Learner

    Data Analyst track — LogicMojo Data Science Candidate working on course projects.

    Rishiraj Singh

    Rishiraj Singh

    @Rishiraj1994

    Project Builder

    ML Engineer track — LogicMojo Data Science Candidate building end-to-end assignments.

    S

    Shweta

    @shweta1503tech

    Active Learner

    Data Analyst track — LogicMojo Data Science Candidate working on assignments.

    Ichwan

    Ichwan

    @isuchan

    Beginner Friendly

    Aspiring AI Engineer — LogicMojo Data Science Candidate building projects.

    T

    Tanisha

    @teakoko68

    Active Learner

    Data Scientist track — LogicMojo Data Science Candidate working on assignments.

    DH

    Dilshad Hussain

    @Dilshad13

    Project Builder

    ML Engineer track — LogicMojo Data Science Candidate building practice projects.

    Sagar Darbarwar

    Sagar Darbarwar

    @sagardarbarwar

    Project Builder

    Data Analyst to Data Scientist — LogicMojo Data Science Candidate building projects.

    Leah

    Leah

    @leahwong

    Beginner Friendly

    Aspiring Data Analyst — LogicMojo Data Science Candidate working on assignments.

    Srikrishna Karatalapu

    Srikrishna Karatalapu

    @SriKaratalapu

    Project Builder

    Data Engineer track — LogicMojo Data Science Candidate building portfolio projects.

    Anoop P S

    Anoop P S

    @AnoopPS02

    Active Learner

    ML Engineer track — LogicMojo Data Science Candidate working on projects.

    Shanthan Reddy

    Shanthan Reddy

    @Shanty-Dangerzone

    Project Builder

    AI Engineer track — LogicMojo Data Science Candidate building course projects.

    Dheeraj Singh

    Dheeraj Singh

    @dheeraj0032scm

    Active Learner

    Data Engineer track — LogicMojo Data Science Candidate contributing via course commits.

    MS

    Manobala Surulichamy

    @manobalatester

    Active Learner

    Data Analyst track — LogicMojo Data Science Candidate working on assignments.

    Ganesh Prasad

    Ganesh Prasad

    @PrasadGanesh

    Beginner Friendly

    Aspiring Data Scientist — LogicMojo Data Science Candidate building assignments.

    RM

    Raikamal Mukherjee

    @Raikamal-Mukherjee

    Active Learner

    ML Engineer track — LogicMojo Data Science Candidate working on projects.

    Yaswanth Reddy kakunuri

    Yaswanth Reddy kakunuri

    @yaswanth222

    Project Builder

    AI Engineer track — LogicMojo Data Science Candidate building portfolio projects.

    Lokesh Patel

    Lokesh Patel

    @lokipatel

    Active Learner

    Data Engineer track — LogicMojo Data Science Candidate working on assignments.

    Vaibhav Tiwari

    Vaibhav Tiwari

    @vaitiwari

    Project Builder

    Data Scientist track — LogicMojo Data Science Candidate building course projects.

    SR

    Sreevani Rayavaram

    @sreevani916

    Active Learner

    Data Analyst track — LogicMojo Data Science Candidate working on assignments.

    RH

    Rakshith Hegde

    @hegderr

    Project Builder

    ML Engineer track — LogicMojo Data Science Candidate building hands-on projects.

    Mohammed Kashif

    Mohammed Kashif

    @Kashif-Atom

    Beginner Friendly

    Aspiring Data Scientist — LogicMojo Data Science Candidate working on projects.

    CR

    Chandhrramohan Rajan

    @CRajan

    Project Builder

    Data Engineer track — LogicMojo Data Science Candidate building assignments.

    Sreejith.C

    Sreejith.C

    @sreeoojit

    Active Learner

    AI Engineer track — LogicMojo Data Science Candidate working on projects.

    Swati Tiwari

    Swati Tiwari

    @SWATI456-coder

    Project Builder

    Data Scientist track — LogicMojo Data Science Candidate building course projects.

    Vedant Dadhich

    Vedant Dadhich

    @Ved26

    Active Learner

    Data Analyst track — LogicMojo Data Science Candidate working on assignments.

    Shivam Saxena

    Shivam Saxena

    @shankeysaxena

    Project Builder

    AI Engineer track — LogicMojo Data Science Candidate building projects.

    Sameer Tandon

    Sameer Tandon

    @tandonsameer

    Active Learner

    Data Scientist track — LogicMojo Data Science Candidate working on projects.

    Bhupesh Vipparla

    Bhupesh Vipparla

    @BhupeshVipparla

    Project Builder

    ML Engineer track — LogicMojo Data Science Candidate building assignments and projects.

    SK

    Soujanya Karatalapu

    @skaratalapu

    Active Learner

    Data Analyst track — LogicMojo Data Science Candidate working on assignments.

    A

    Aditya

    @adityagitdev

    Beginner Friendly

    Aspiring Data Engineer — LogicMojo Data Science Candidate building course projects.

    Venkataraman Sethuraman

    Venkataraman Sethuraman

    @venkat6631

    Active Learner

    Data Analyst track — LogicMojo Data Science Candidate working on assignments.

    Vinay Kumar Tokala

    Vinay Kumar Tokala

    @vinaykumartokalalearning-png

    Project Builder

    AI Engineer track — LogicMojo Data Science Candidate building projects.

    Chinmay Garg

    Chinmay Garg

    @Chinmay50

    Active Learner

    Data Scientist track — LogicMojo Data Science Candidate working on course projects.

    Shravya Errabelly

    Shravya Errabelly

    @shravyraoe-lab

    Project Builder

    Data Analyst track — LogicMojo Data Science Candidate building assignments.

    Parul Rawat

    Parul Rawat

    @forgerlab

    Project Builder

    AI Engineer track — LogicMojo Data Science Candidate building hands-on projects.

    Every student listed above has real GitHub repositories with course assignments, capstone projects, and production-ready code. This isn't just a course — it's a portfolio-building experience built around the LogicMojo AI & ML course, with hands-on tracks across AI agent building, Generative AI, and data science.

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