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Top 10 Best AI Courses For Beginners - List
Best Artificial Intelligence & Machine Learning courses for 2025
| S.No. | Course Details | Duration | Pricing | Action |
|---|---|---|---|---|
|
1
|
Logicmojo AI & ML CourseLogicmojo Logicmojo AI Course is top of our list as best course for beginners in AI.It is a very beginner friendly course for learning AI from scratch. No Prior coding experience required to join this course. Classes starts from very basic and gradually move to advance with project development on GenAI.
7 months
Live Online
Generative AI Focus
|
7 months |
₹6,150/month
|
Enroll Now |
|
2
|
AI for EveryoneDeepLearning.AI (Coursera) Best For: Absolute beginners seeking a clear, non-technical introduction to AI.Business leaders wanting to understand AI’s strategic value. Anyone interested in real-world AI applications without knowing much basics on AI.
4 weeks
Self-paced
Non-Technical
|
4 weeks |
$49/month
|
Enroll Now |
|
3
|
Generative AI with LLMsAWS / DeepLearning.AI Best For: ML engineers and developers eager to build and deploy generative AI applications with large language models.Data scientists looking for hands-on experience in fine-tuning and customizing LLMs Solution architects and product managers wanting to integrate LLM-powered features using AWS services.
3 weeks
Self-paced
Intermediate
|
3 weeks |
$49/month
|
Enroll Now |
|
4
|
AI Programming with PythonUdacity Best For: Aspiring ML engineers who want to build and train neural networks with PyTorch and deploy AI solutions.
3 months
Self-paced
Project-Based
|
3 months |
$399/month
|
Enroll Now |
|
5
|
AI Engineering CertificateIBM (Coursera) Best For: Experienced software engineers and data scientists looking to advance their AI engineering skills with industry-leading practices.
6 months
Self-paced
IBM Watson Studio
|
6 months |
$59/month
|
Enroll Now |
|
6
|
PGP in Artificial IntelligenceupGrad Best For: Mid-career professionals and career changers seeking a comprehensive PGP in Artificial Intelligence.
12 months
Live + Recorded
University Certificate
|
12 months |
₹7,000/month
|
Enroll Now |
|
7
|
AI & ML EngineerSimplilearn Best For: Aspiring AI & ML engineers seeking a structured, project-driven curriculum covering core algorithms, model deployment and MLOps.
6 months
Live Online
Caltech Certificate
|
6 months |
$2,199
|
Enroll Now |
|
8
|
Fundamentals of Machine Learning and AIAWS (Coursera) Best For: Cloud practitioners and developers looking to grasp the fundamentals of AWS AI and ML services.
10 hours
Self-paced
Beginner
|
10 hours |
$49/month
|
Enroll Now |
|
9
|
Fundamentals of Google AI for MLEdx(Google) Best For: Aspiring ML practitioners seeking a solid foundation in core AI and ML principles through Google’s curated curriculum.
4 weeks
Self-paced
AI-900 Exam Prep
|
4 weeks |
$99
|
Enroll Now |
|
10
|
AI Product Manager NanodegreeUdacity Best For: Product managers looking to transition into AI-driven roles by mastering the unique challenges of AI product development.
4 months
Self-paced
Business-focused
|
4 months |
$399/month
|
Enroll Now |
How We Evaluate AI Courses
Our rigorous 6-step evaluation process ensures you receive the highest quality AI education. Every course is thoroughly tested by industry experts and complete beginners.
Expert Verified
Beginner Tested
Continuously Updated
Our 3-Step Review Process
1
Discovery & Screening
We identify and screen the latest AI courses from top educational platforms, focusing on beginner-friendly content and industry relevance.
2
Expert Analysis
AI professionals and educators evaluate each course for technical accuracy, teaching methodology, and practical application.
3
Beginner Testing
Complete beginners test each course to ensure accessibility, clarity, and real learning outcomes without prior experience.
Our 6 Evaluation Criteria
Each course is assessed across these critical dimensions to ensure comprehensive quality and learning effectiveness.
Beginner Accessibility
We test how well complete beginners can understand AI concepts, machine learning fundamentals, and neural networks without requiring prior programming or mathematical background.
Zero Prerequisites
Clear Explanations
Hands-On Projects
Every recommended course includes practical AI projects, coding exercises, and real-world applications that students can complete and add to their professional portfolio.
5+ Projects
Portfolio Ready
Content Depth & Structure
Comprehensive coverage of essential AI topics including neural networks, deep learning, computer vision, natural language processing, and AI ethics with logical progression.
8 Core Topics
Progressive Learning
Instructor Expertise
Only courses taught by recognized AI researchers, industry professionals, and experienced educators with proven track records in both artificial intelligence and effective teaching.
PhD/Industry Leader
Teaching Experience
Community & Support
Active learning communities, responsive instructor support, peer collaboration opportunities, and comprehensive Q&A resources to ensure no student gets left behind.
24h Response
Active Community
Career Impact & Outcomes
Verified student success stories, job placement rates, salary improvements, and career transition data to ensure real-world value and measurable return on investment.
85% Success Rate
Career Tracking
Our Evaluation by the Numbers
Comprehensive data from our rigorous course evaluation process
750+
Courses Reviewed
50+
Hours Per Course
25+
Expert Reviewers
98%
Student Satisfaction
Our Comprehensive Review Methodology
Each AI course undergoes a minimum 50-hour evaluation by our team of AI professionals, educators, and complete beginners. We personally take every course, analyze student feedback, test all projects, and verify learning outcomes to ensure our recommendations meet the highest standards for quality, accessibility, and real-world applicability.
Find Your Perfect AI Course Match For Beginne
Our intelligent quiz analyzes your experience, goals, budget, and schedule to recommend the best Data Science courses for your unique situation. Takes less than 60 seconds!
Best AI Courses for Beginners – Detailed Curriculum
Use our interactive explorer to discover the Top 10 Best AI Courses for Beginners in 2025. Get insights into course content, placement support, success stories, and compare your favorites — all in one place
ACCELERATED LEARNING PATH
AI Roadmap for Beginners in 7 Months
From Python basics to production-ready AI systems. A structured, hands-on journey designed by industry experts.
Your Learning Timeline
Each module builds on the previous one, creating a comprehensive foundation for AI mastery.
Explore Module
Explore Module
AI Salary Projection - For Beginners
Explore how your career evolves. Change your current salary to see growth, key industry trends, and actionable upskilling paths in India.
Detailed Salary Data
| Role | Industry Median | Max (90th %ile) |
|---|---|---|
| AI Engineer (Fresher) | ₹8.0L | ₹15L |
| AI Engineer (3-5 yrs) | ₹14.2L | ₹28L |
| Senior Data Scientist | ₹24.5L | ₹40L |
| Lead AI Architect | ₹35L | ₹60L |
Top Growth-driving Skills
Deep Learning
Gen AI
LLM Tuning
Prompt Engineering
MLOps
Cloud AI (GCP, AWS)
Projection Breakdown:
- AI Engineer (3-5 yrs): ₹14.2-28L
- Mastering GenAI & MLOps gives 2x growth
- 90th %ile earns ₹25L+
Regional Variance Sample
| City/Region | Median CTC |
|---|---|
| Bangalore | ₹18L |
| Hyderabad | ₹16L |
| Mumbai | ₹15.5L |
| T2 Cities | ₹11.5L |
AI Market Reality Beginners Check
Real-time data showing why 2025 is the perfect year to break into Artificial Intelligence.
Why The Market Is Exploding 💥
AI Revolution
Generative AI and LLMs are transforming every industry, creating massive demand for skilled experts.
Digital Transformation
Companies are accelerating digitization, requiring deep AI insights for a competitive advantage.
Skill Gap Crisis
A massive shortage of qualified AI professionals is creating premium salaries and opportunities.
Filter the course based on your requirements
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AI Skills Market Demand & Salary Analysis
Current market trends, salary ranges, and growth projections for AI skills.
Skill
Market Demand
Salary Range
Job Openings
Growth Rate (YoY)
Learning Difficulty
40%+ Growth
Average salary increase post AI course completion
50+ Institutes
Offering quality AI/ML programs in Bangalore
50,000+
AI job openings across Bangalore's tech ecosystem
About the Author
AI Blogs for Beginners
Your go-to resource for breaking into the world of Artificial Intelligence. We answer the tough questions to help you get started.
Tooling
Python vs R for AI Beginners
The ultimate showdown. We compare Python and R on ease of learning, libraries, community support, and job market demand to help you choose the right language.
Career
AI Salary Trends in India 2025
What can you expect to earn? We analyze the latest salary data for AI engineers, data scientists, and ML specialists across Bangalore, Hyderabad, and Pune.
Learning
Best Free AI Courses for Beginners 2025 India
On a budget? No problem. We've curated the absolute best free AI courses for beginners in India for 2025 to kickstart your learning without spending a rupee.
Everything You Need to Know
Get answers to the most common questions about AI courses, career transitions, and the learning path from our team of experts.
Which AI course is best for a complete beginner?
Beginner
2 min read
Which AI course is best for a complete beginner?
Beginner
2 min read
Quick Answer
For complete beginners, we recommend three standout options based on different learning preferences and budgets.
🏆
Best Overall for Beginners
LogicMojo's Advanced Data Science & AI
- Structured weekend classes perfect for Beginners.
- Dual Purdue + IBM certification for strong credibility.
- Beginner-friendly curriculum that builds from the ground up.
💰
Best Budget Option
AI for Everyone (Coursera)
- Highly affordable monthly subscription model.
- Self-paced learning, ideal for students.
- Industry-recognized Coursara certification.
How long does it take to become job-ready in AI?
All Levels
1 min read
How long does it take to become job-ready in AI?
All Levels
1 min read
The time to get job-ready depends on your background and the program's intensity. Here's a general guideline for Bangalore's tech market:
For Beginners (No Tech Background)
3-6 months of dedicated learning in a structured bootcamp is typically required to be ready for entry-level Data Analyst or Junior AI Engineer roles.
For Professionals (With Tech Background)
6-8 months in an advanced program is ideal to target mid-level to senior AI/ML Engineer roles, as this allows for a deeper dive into specialized topics and portfolio building.
What salary can I expect after completing a course?
All Levels
4 min read
What salary can I expect after completing a course?
All Levels
4 min read
Salaries are competitive and depend on your skills and prior experience. Here are some typical ranges:
Entry-Level (0-2 years exp)
After a foundational course, expect ₹6 LPA to ₹12 LPA at service-based companies and startups.
Mid-Senior Level (3+ years exp)
After an advanced or specialization course, salaries often range from ₹18 LPA to ₹35 LPA+ at top product-based companies.
Do I need a powerful computer for these AI courses?
Tech Specs
2 min read
Do I need a powerful computer for these AI courses?
Tech Specs
2 min read
While a high-end gaming PC isn't necessary, a decent modern laptop is recommended. Most of the heavy computation is handled via cloud platforms like Google Colab.
Minimum Recommendations
- Processor: Intel i5 (8th Gen or newer) or AMD Ryzen 5
- RAM: 8GB (16GB is highly recommended)
- Storage: 256GB SSD
Which programming language is commonly used in AI?
Languages
3 min read
Which programming language is commonly used in AI?
Languages
3 min read
The most important labguages need to know as AI specialist are listed.
Python: The Language of AI:
- Python : is the most popular language for AI due to its easy syntax and powerful libraries
- Tensorflow: TensorFlow is a software library for machine learning and artificial intelligence.
- Pytorch: pytorch and tensorflow are librairies that let you write differentiable algeabra in python.
- Scikit-learn:scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language.
🎓
Which AI course is best for absolute beginners?
Beginner Friendly
3 min read
🎓
Which AI course is best for absolute beginners?
Beginner Friendly
3 min read
For those with no programming or AI background, we recommend these top-rated courses:
-
1 Logicmojo AI & ML Course
Designed from the ground up for beginners, with live classes and strong mentorship.
Tags: Live Classes, 1:1 Mentorship, Job Support -
2 Coursera’s "AI for Everyone"
A non-technical course perfect for understanding AI concepts without coding.
Tags: No Coding, Andrew Ng, 4 Weeks -
3 Google AI Essentials
A short, practical course on how to use AI tools effectively in your work.
Tags: Google Certified, Practical, Quick Start
💡
These courses start with the basics and don’t assume prior technical knowledge.
🧮
Do I need to be a math expert to learn AI?
Math Requirements
3 min read
🧮
Do I need to be a math expert to learn AI?
Math Requirements
3 min read
Quick Answer: No, you don't need to be a math expert!
- Basic Level: High school algebra and stats (2-4 weeks prep)
- Intermediate Level: Linear algebra, probability (1-2 months prep)
- Advanced (Optional): Required only for AI research (6+ months)
📚 Most of the math is handled by tools like:
- TensorFlow – Neural Networks
- PyTorch – Deep Learning
- Scikit-learn – Machine Learning
- NumPy – Mathematical Computing
🧠
What is the difference between AI, Machine Learning, and Deep Learning?
Core Concepts
3 min read
🧠
What is the difference between AI, Machine Learning, and Deep Learning?
Core Concepts
3 min read
Think of them as nested concepts:
- AI: Any system mimicking human intelligence
- Machine Learning: A subset of AI that learns from data
- Deep Learning: A specialized form of ML using neural networks
Example:
- AI: Chess playing program
- ML: Spam filter that learns patterns
- DL: Voice assistants like Siri
💰
What salary can I expect after completing an AI course?
Career Growth
3 min read
💰
What salary can I expect after completing an AI course?
Career Growth
3 min read
Salaries vary based on your role, experience, and geography. Here's a typical progression:
- Fresher / AI Trainee: ₹5–9L (0–1 year)
- ML Engineer: ₹10–20L (1–3 years)
- Senior AI Scientist: ₹25–45L (3–5 years)
- AI Architect / Lead: ₹45L – ₹1Cr+ (5+ years)
📈
Career changers often see a salary hike of 150–300% after transitioning into AI roles.