Updated for May 2025 • Gen-AI Included

Best AI Courses in India for 2025

Complete comparison of the top 10 AI & Gen-AI courses with interactive tools, real salary data, and expert analysis to help you master GPT-4, LLMs, and Gen-AI technologies.

Gen-AI & LLM Focus
Real Salary Data
GPT-4 Fine-tuning
Expert Reviews
45K+
AI/Gen-AI Jobs on LinkedIn
+72%
Avg Salary Bump After AI Bootcamp
$14B
VC Money in Gen-AI (Jan-Apr 2025)
63%
Enterprises Piloting Gen-AI

Why 2025 Is The Year to Learn AI: Artificial Intelligence features are no longer "nice to have" – they're table stakes. Voice assistants finish our sentences, LLMs draft our emails, and recommender engines push half the products we buy. Recruiters now scan CVs for "LLM fine-tuning," "RAG pipelines," and "MLOps." If those skills aren't there, you don't get the callback. Our comprehensive analysis shows that choosing the right AI course can 2-3× your CTC within a year. We've evaluated courses based on Gen-AI curriculum depth, GPT-4 training, placement support, and real student outcomes.

See Your Potential AI Salary Hike

Drag the slider to see how your current salary could grow with AI skills

₹8L
Current Salary
₹14L
After AI Course
+75%
Potential Increase

AI Market Snapshot 2025

Current market metrics show unprecedented growth in AI opportunities across India

45,000+
LinkedIn AI/Gen-AI Jobs

Active AI and Generative AI positions available on LinkedIn India as of May 2025

+72%
Average Salary Bump

Average salary increase after completing AI bootcamp according to Analytics India Mag Q1-2025 survey

$14B
VC Investment (Jan-Apr 2025)

Venture capital money into Gen-AI startups in first 4 months of 2025 (CB Insights)

63%
Enterprises Piloting Gen-AI

Percentage of enterprises currently piloting Gen-AI applications (McKinsey State of AI 2025)

₹6L → ₹24L
Typical Salary Jump

Median salary progression for AI professionals in 0-3 years experience

Find Your Perfect AI Course in 60 Seconds

Answer 4 quick questions to get personalized recommendations

Question 1 of 4

What is your programming experience?

What's your main goal?

How much time can you dedicate?

What's your budget range?

Top 10 AI Courses - 2025 Power List

Comprehensive analysis of the best AI & Gen-AI courses ranked by curriculum, placement support, and student outcomes

1

Advanced AI & Gen-AI Bootcamp

LogicMojo

7 months
Weekend Live
Unlimited 1:1

Best For: Weekend-only sprint turns Python novices into Gen-AI engineers. Curriculum: classic ML, CNNs, transformers, GPT-4 fine-tuning, LangChain RAG, MLOps on AWS. 12 production-grade projects including Stable-Diffusion LoRA.

Key Features

12 AI Projects
GPT-4 Fine-tuning
Unlimited Mentoring
87% Placement Rate
Pros
  • Weekend-only schedule
  • Unlimited 1:1 mentoring
  • 12 production projects
  • Lifetime LMS access
Cons
  • Fixed weekend schedule
  • Requires discipline
2

Generative AI Specialization

DeepLearning.AI

8 weeks
Self-paced
Andrew Ng

Best For: Four Coursera courses, 8 weeks total, co-built by Andrew Ng, Isa Fulford (OpenAI) and the ChatGPT product team. Covers prompt-engineering, PEFT fine-tuning, vector-DB RAG, multi-modal generation.

Key Features

Andrew Ng + OpenAI
Prompt Engineering
Vector DB RAG
Multi-modal Gen
Pros
  • Andrew Ng's teaching
  • OpenAI collaboration
  • Free OpenAI credits
  • Self-paced learning
Cons
  • No live interaction
  • Basic level content
3

M.Sc in AI & ML

upGrad × IIIT-B

18 months
Hybrid
UGC Degree

Best For: An 18-month UGC-recognised master's with optional Liverpool John Moores top-up. Recorded theory + live weekend labs, fortnightly mentor calls, and a 6-month industry capstone.

Key Features

IIIT-B Degree
Liverpool Top-up
6mo Capstone
Lifetime Job Portal
Pros
  • University degree credential
  • Liverpool dual degree option
  • Fortnightly mentor calls
  • Lifetime career support
Cons
  • Premium pricing
  • Long 18-month duration
4

PGP AI & ML

IIT-Hyderabad/TalentSprint

12 months
Hybrid
IIT Faculty

Best For: Twelve-month hybrid format: live evening classes plus three on-campus hackathons in Hyderabad. IIT-H faculty teach maths, DL, speech AI, Gen-AI ethics. Projects graded on Kaggle-style leaderboards.

Key Features

IIT Faculty
3 Hackathons
Kaggle Style Projects
Strong Brand Pull
Pros
  • IIT brand recognition
  • On-campus hackathons
  • Strong PSU placement
  • Merit scholarships
Cons
  • Premium pricing
  • Fixed evening schedule
5

PGP AI/ML/Gen-AI

Simplilearn × Purdue

8 months
Live Online
Dual Cert

Best For: Eight-month evening cohort. 30 mini-projects + two Gen-AI capstones (SQL-generating Llama-2 agent and a Stable-Diffusion LoRA). Monthly Purdue masterclass; IBM Watsonx sandbox.

Key Features

Purdue + IBM Cert
30 Projects
Monthly Masterclass
IBM Watsonx Lab
Pros
  • Dual global certification
  • 30 hands-on projects
  • Purdue university brand
  • 0% EMI available
Cons
  • USD pricing
  • Evening schedule only
6

Advanced AI/ML

Great Learning

9 months
Online
350+ Alumni

Best For: Nine-month online (or six-month classroom) track covering Spark MLlib, XGBoost, transformer fine-tune, MLFlow, and Kubeflow. Weekly mentor calls and 350+ alumni webinars.

Key Features

350+ Alumni Network
Weekly Mentoring
62% Median Hike
MLFlow + Kubeflow
Pros
  • Flexible learning modes
  • 62% median salary hikes
  • Strong alumni network
  • Regular webinars
Cons
  • Premium pricing
  • Variable batch quality
7

AI Nanodegree

Udacity

4 months
Self-paced
Code Reviews

Best For: Self-paced (~4 mo @ 12 h/w). Projects: multi-agent search in Pac-Man, CNN on CIFAR-10, DQN Atari agent, intro to LLM prompt-engineering. Each submission gets expert code review.

Key Features

AI Search Algorithms
CNN Projects
Reinforcement Learning
GPU Compute Credits
Pros
  • Expert code reviews
  • Project-based learning
  • Career portal access
  • GPU credits included
Cons
  • No live instruction
  • USD pricing
8

AI Engineering Pro Cert

IBM

~5 months
Self-paced
Watsonx Labs

Best For: Seven Coursera courses: DL with PyTorch, hyper-opt, Docker micro-service, Watsonx Gen-AI lab. Finish in ≈ 5 mo @ 10 h/w. Earn IBM digital badge; content included in Coursera Plus.

Key Features

PyTorch Deep Learning
Docker Microservices
IBM Digital Badge
Watsonx Gen-AI
Pros
  • IBM brand recognition
  • Affordable pricing
  • Practical labs
  • Self-paced flexibility
Cons
  • No live mentoring
  • Basic level content
9

TinyML + DL Bundle

HarvardX

6-8 months
Self-paced
Edge AI

Best For: Edge-AI meets Ivy League: TinyML (Arduino Nano 33 BLE & TensorFlow Lite) plus full DL stack (vision, NLP, tabular). Eight courses, 6–8 mo self-paced. Great for hardware hackers.

Key Features

TinyML Arduino
Harvard Brand
Edge AI Focus
Hardware Projects
Pros
  • Harvard Ivy League brand
  • Unique edge AI focus
  • Hardware experience
  • Pay per course option
Cons
  • High pricing
  • Requires hardware
10

Practical DL v5

fast.ai

14 weeks
Self-paced
Free

Best For: Free 14-week MOOC from Jeremy Howard. 100% code-first (fastai + PyTorch). Projects: vision, NLP, tabular, Stable-Diffusion LoRA. Community forum replaces live mentoring; BYO GPU.

Key Features

Completely Free
Code-first Approach
Active Community
PyTorch + fastai
Pros
  • Completely free
  • Jeremy Howard teaching
  • Code-first methodology
  • Strong community
Cons
  • No formal certification
  • Requires self-discipline

Compare AI Courses Side-by-Side

Select up to 5 courses from our top 10 AI programs to compare features, pricing, and outcomes

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Success Stories That Prove It Works

Real career transformations from AI course graduates who made the leap

Gunjan Yadav

Gunjan Yadav

Software Engineer - III @Service Now

“Incredible instructors who cleared all doubts and helped me grow in logic and ML skills through coding tests and regular classes.”

125% Salary Increase 9 months Transition
Diwakar Choudary

Diwakar Choudary

Gen-AI Developer at Zoho

“Excellent course for interviews, straight to the point, practical AI-focused with architectural depth.”

AI Lab Manager
Ravi Sharma

Ravi Sharma

ML Engineer in Berlin

“IIIT-B MSc via upGrad helped land a Berlin ML job. Credential vital for visa and global credibility.”

Berlin Location M.Sc Degree
15,000+
Students Placed in AI Roles
94%
Placement Rate
850+
Hiring Partners
180%
Avg. Salary Hike

Frequently Asked Questions

Everything you need to know before choosing an AI course

Which AI course is best for complete beginners?
+

For complete beginners with no programming background, we recommend:

  • LogicMojo Advanced AI & Gen-AI: Starts from Python basics, weekend schedule perfect for working professionals
  • DeepLearning.AI Specialization: Andrew Ng's excellent teaching style for AI newcomers
  • IBM AI Engineering Certificate: Very affordable, step-by-step approach through Coursera

All these courses start with programming fundamentals and don't assume prior AI knowledge. LogicMojo offers unlimited 1:1 mentoring which is particularly helpful for beginners.

What's the difference between AI, ML, and Gen-AI courses?
+

AI (Artificial Intelligence): Broad field covering all intelligent systems including ML, NLP, computer vision, robotics.

ML (Machine Learning): Subset of AI focused on algorithms that learn from data - supervised, unsupervised, reinforcement learning.

Gen-AI (Generative AI): Latest AI subset focused on creating content - LLMs like GPT-4, image generation like DALL-E, code generation.

Most 2025 courses now include all three, with heavy emphasis on Gen-AI and LLMs as they're driving current job demand.

How long does it take to become job-ready in AI?
+

Timeline depends on your background and learning intensity:

  • Complete Beginners: 8-12 months with 15-20 hours/week study
  • Programming Background: 6-9 months focusing on ML and AI concepts
  • Data Science Background: 4-6 months learning Gen-AI and advanced techniques
  • Intensive Bootcamp: 3-7 months with full-time dedication

LogicMojo (7 months), IIT-H (12 months), and Simplilearn (8 months) are designed to make you job-ready within their duration.

What salary can I expect after completing an AI course?
+

AI salaries vary by experience level and specialization:

  • Junior AI Engineer: ₹6-12L per annum
  • ML Engineer: ₹8-18L per annum
  • Senior AI Engineer: ₹15-30L per annum
  • Gen-AI Specialist: ₹20-40L per annum
  • FAANG/Top Companies: ₹35-80L per annum

Career changers typically see 70-150% salary increases within 1-2 years. Gen-AI skills command the highest premiums in 2025.

Do I need a degree in mathematics or computer science?
+

No formal degree required - but you do need to learn key concepts:

  • Programming: Python is essential for AI development
  • Statistics: Understanding data distributions and hypothesis testing
  • Linear Algebra: Vectors and matrices (for neural networks)
  • Calculus Basics: Derivatives for optimization (covered in courses)

Quality courses like LogicMojo, IIT-H, and Simplilearn teach these concepts from scratch with practical applications.

Which courses offer the best placement support?
+

Ranking courses by placement support quality:

  • LogicMojo: 87% placement rate, resume rewrite, 300+ hiring partners
  • IIT-Hyderabad: Strong brand pull in PSU & defense tech hiring
  • Great Learning: Large alumni network, regular hiring drives
  • upGrad: Lifetime career support, industry partnerships
  • Simplilearn: Global certification helps with international roles

What to verify: Ask for median placement timeline, not just success stories. Check if placement support includes resume writing, mock interviews, and soft skills training.

About LogicMojo AI

Transforming careers through industry-relevant AI education

Our Mission

LogicMojo was founded with a simple mission: to bridge the gap between academic learning and industry requirements in AI & Gen-AI. We believe that with the right guidance, anyone can master cutting-edge technologies like GPT-4, LLMs, and RAG pipelines.

Our weekend-only approach allows working professionals to upskill without career breaks. With unlimited 1:1 mentoring and 12 production-grade projects, we ensure every student builds a portfolio that gets noticed by recruiters.

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