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Online AI Courses in India

  • AI Courses Manager
  • 12 minutes ago
  • 14 min read
Online AI Courses

Table of Contents


Online AI Courses - DEGREE PROGRAMS

1. BSc in AI & Data Science – BITS Pilani Digital

Program Duration: 3 years (9 trimesters) | Total Fees: ₹3.12 Lakhs

Eligibility: 10+2 with 50% marks (Math mandatory)

Mode: Fully Online with flexible scheduling

Certification: UGC-Approved Bachelor's Degree (Exit options: Certificate after 1 year, Diploma after 2 years, Degree after 3 years)

Curriculum Structure (Trimester-wise):

Trimester 1-3 (Foundation - Year 1):

  • Probability & Statistics

  • Computer Programming (Python)

  • Writing Practice & Communication

  • Data and the World

  • Computing Systems

  • Linear Algebra

  • Multivariable Calculus

  • Fundamentals of Data Science & Engineering

  • Data Structures for Data Science

  • Data Preprocessing

  • Apex Project I (Capstone Introduction)

Trimester 4-6 (Core ML - Year 2):

  • Optimization Techniques

  • Principles of Economics

  • Supervised Learning (Regression & Classification)

  • Unsupervised Learning (Clustering)

  • Programming using Generative AI

  • Apex Project II

  • Combinatorics

  • Mobile & Web Application Development

  • Classical AI Concepts

  • Data Visualization

  • Apex Project III

  • Relational Databases & Querying

  • Deep Neural Networks

  • Multimedia Processing

Trimester 7-9 (Advanced & Specialization - Year 3):

  • Advanced Deep Learning

  • NLP Applications

  • Modern Databases

  • Environmental Studies

  • Apex Project IV & V

  • 4 Discipline Electives (choose from):

    • Big Data Analytics

    • Graphs & AI

    • Systems for Model Deployment

    • Healthcare Data Analytics

    • Analytics for BFSI (Banking, Financial Services, Insurance)

    • Analytics for Retail & eCommerce

    • Devices and Networks

    • Application Deployment on Cloud

    • Introduction to Text Analytics

    • Software Engineering & AI

    • Governance in AI

    • Data Warehousing & Data Lakes

    • Graph Algorithms

    • Soft Computing

    • Introduction to AR/VR Agentic AI

    • Distributed Systems for Training

    • Reinforcement Learning

    • ML on Edge Devices

    • Big Data Engineering

    • Cloud Services & Platforms

    • Robotics & AI

    • ML for Data Streams

    • Multimedia Analytics

    • AI Application Deployment

    • Computer Vision

    • Cloud-Native AI

  • Capstone Project (Large-scale industry project)

Open Electives (Soft Skills):

  • Business Communication

  • Fundamentals of Finance & Accounting

  • Cross-Cultural Skills

  • Principles of Management

Learning Methodology:

  • Video lectures & recorded content

  • Interactive problem-solving sessions

  • Real-world case studies & projects

  • Access to cloud-based labs with Python, TensorFlow, PyTorch

  • Faculty feedback on assignments

  • Hands-on projects aligned with industry needs

Placement & Career Outcomes:

  • Average Fresher Salary: ₹4-7 LPA

  • Experienced Professionals: ₹12-18 LPA

  • Top Recruiters: Google, TCS, Infosys, Wipro, IBM

  • Placement Rate: 85-90%

Career Paths:

  • Data Scientist

  • AI Engineer

  • Machine Learning Engineer

  • Data Analyst

  • Big Data Engineer

  • Cloud Data Specialist

  • Business Intelligence Analyst

Advantages:

  • UGC-approved degree recognized globally

  • Flexible exit options (certificate, diploma, degree)

  • Access to BITS alumni network

  • Industry-aligned curriculum

  • Real-world projects & capstone

  • Career support & mentorship

Disadvantages:

  • Higher fees compared to government programs

  • 3-year commitment required for full degree


2. BSc in AI & Data Science – IGNOU Online

Program Duration: 3 years | Total Fees: ₹6,000 (Most Affordable!)

Eligibility: 10+2 (any stream, no strict percentage requirement)

Mode: Fully Online, Self-paced with maximum 6-year completion window

Certification: Government-Recognized UGC Degree

Online AI Courses' Curriculum Overview:

Year 1 (Foundation Courses):

  • Fundamentals of Mathematics

  • Technical Communication

  • C Programming

  • Fundamentals of Computers & IT

  • Basic Statistics

  • Introduction to Data Science Concepts

Year 2 (Core Subjects):

  • Advanced Programming (Python/R)

  • Discrete Mathematics

  • Database Management Systems

  • Web Technologies & Applications

  • Introduction to AI & Machine Learning

  • Data Structures & Algorithms

  • Statistics for Data Analysis

Year 3 (Specialization):

  • Machine Learning Algorithms

  • Deep Learning Fundamentals

  • Natural Language Processing

  • Big Data Analytics

  • Data Mining & Data Warehousing

  • Computer Vision Basics

  • Advanced AI Applications

  • Data Science Project Work

Learning Features:

  • Self-paced video lectures

  • Interactive e-learning modules

  • Practical assignments & projects

  • Access to IGNOU study centers across India

  • Online doubt-solving sessions

  • Community learning forums

Placement & Career Outcomes:

  • Average Fresher Salary: ₹4-7 LPA

  • Experienced Professionals: ₹12-18 LPA

  • Placement Rate: 75-80%

  • Government sector opportunities (PSUs, Central/State Govt)

  • IT Company Opportunities: TCS, Infosys, Wipro

Advantages:

  • Most affordable undergraduate degree in India (₹6,000 total)

  • Government-backed credibility

  • Extremely flexible schedule

  • No time pressure (6-year window)

  • Suitable for working professionals

  • Multiple study centers across India

  • Accessible to all disciplines/streams

Disadvantages:

  • Less structured than on-campus programs

  • Limited campus facilities & networking

  • Lower placement rate compared to premium institutes

  • Self-motivation required

Website: ignou.ac.in


3. M.Sc. in Data Science & AI – BITS Pilani Digital

Program Duration: 2 years (6 trimesters) | Fees: ₹35,000/trimester (₹2.1 Lakhs total)

Eligibility: Bachelor's degree in any stream with min. 50% marks

Mode: Fully Online

Certification: Master's Degree (UGC-Approved)

Core Curriculum:

Trimester 1-2:

  • Advanced Mathematics for Data Science

  • Statistical Methods & Inference

  • Python Advanced Programming

  • Data Engineering Fundamentals

  • Database Design & Optimization

  • Research Methodology

Trimester 3-4:

  • Machine Learning: Advanced Topics

  • Deep Learning & Neural Networks

  • Natural Language Processing

  • Computer Vision Specialization

  • Advanced Database Systems

  • Big Data Technologies

Trimester 5-6:

  • Generative AI & LLMs

  • Cloud Computing for Data Science

  • Data Science Project Work

  • Master's Capstone Project (Thesis)

  • Electives (chosen based on interest)

Specialization Options:

  • Data Science & Analytics

  • Machine Learning Engineering

  • AI & Generative AI

  • Computer Vision & NLP

Career Prospects:

  • Senior Data Scientist (₹15-25 LPA)

  • ML Engineer (₹14-22 LPA)

  • AI Research Scientist (₹16-28 LPA)

  • Data Engineering Lead (₹18-26 LPA)

Advantages:

  • Prestigious BITS degree

  • Research-oriented curriculum

  • Industry projects & internships

  • Access to research labs

  • Global alumni network


4. PG Diploma in CSE & AI – IIIT Delhi (Online)

Program Duration: 1 year | Fees: Not Specified (Estimated ₹2-3 Lakhs)

Eligibility: Bachelor's degree in Engineering/IT with relevant background

Mode: Online with some in-person components

Certification: IIIT Delhi Postgraduate Diploma

Focus Areas:

  • AI fundamentals & applications

  • Machine Learning systems

  • Advanced neural networks

  • Software engineering for AI

  • Real-world project implementation

Career Path: Suitable for tech professionals transitioning to AI roles

Website: iiit.ac.in


Online AI Courses FREE GOVERNMENT COURSES


IIT Madras SWAYAM Plus: "AI for All" Initiative

Platform: SWAYAM Plus (Centrally Funded Scheme for Higher Education)

Accessibility: Free for all with UGC certification option (₹500-1000 exam fee)

Registration Deadline: 10th October 2025 (Annual)


1. AI/ML Using Python

Duration: 36 hours (self-paced, typically 6-8 weeks if 5 hours/week)

Target Audience: All discipline students (Engineering, Science, Commerce, Arts)

Course Modules:

Module 1: Python Fundamentals for AI

  • Python basics & data types

  • NumPy for numerical computing

  • Pandas for data manipulation

  • Data loading & cleaning

Module 2: Mathematics for ML

  • Linear algebra essentials

  • Statistics & probability

  • Mathematical notation & formulas

Module 3: Data Science Concepts

  • Exploratory Data Analysis (EDA)

  • Data visualization (Matplotlib, Seaborn)

  • Statistical methods

  • Feature engineering basics

Module 4: Machine Learning Basics

  • Supervised learning concepts

  • Regression & classification

  • Model evaluation metrics

  • Practical Python implementations

Module 5: Hands-on Projects

  • Real datasets & case studies

  • End-to-end ML pipeline

  • Python-based projects

Learning Features:

  • Video lectures by IIT Madras faculty

  • Interactive assignments

  • Coding labs & exercises

  • Discussion forums

  • Certificate upon exam passage

Certification: Certificate of Achievement (with optional paid exam)

Career Applications:

  • Foundation for AI careers

  • Entry-level data science roles

  • Tech industry readiness

Best For: Complete beginners, interdisciplinary learners, working professionals seeking AI basics


2. AI in Physics

Duration: 45 hours

Content Focus:

  • Machine learning for physics problems

  • Neural networks in physics applications

  • Feature engineering from physics data

  • Real-world physics datasets

Hands-on Labs:

  • Image classification in physics

  • Time-series prediction

  • Particle physics applications

  • Quantum mechanics simulations

Target: Physics students, research scholars, educators


3. AI in Chemistry

Duration: 45 hours

Content Focus:

  • Molecular structure prediction using ML

  • Chemical reaction modeling

  • Drug discovery applications

  • Spectroscopy data analysis

Hands-on Applications:

  • SMILES notation & molecular representations

  • Deep learning for molecular properties

  • Real pharmaceutical datasets

  • Property prediction models

Target: Chemistry/Pharmacy students, chemists, researchers


4. Cricket Analytics with AI

Duration: 25 hours

Content Focus:

  • Sports data analysis

  • Player performance prediction

  • Match outcome forecasting

  • Data visualization for sports

Projects:

  • Ball-by-ball analysis

  • Batsman-bowler dynamics

  • Team strategy optimization

Target: Sports enthusiasts, data science beginners, cricket analysts


5. AI in Accounting

Duration: 45 hours

Content Focus:

  • Fraud detection using ML

  • Financial statement analysis

  • Audit automation

  • Accounting data mining

Applications:

  • Invoice classification

  • Anomaly detection

  • Predictive analytics for finance

  • Process automation

Target: Commerce/Management students, finance professionals, accountants


6. AI for Educators (NEW - 2025)

Duration: 40-45 hours

Focus: K-12 teachers, aspiring educators

Content:

  • AI fundamentals for teaching

  • Incorporating AI in curriculum

  • Using AI tools for student assessment

  • AI for personalized learning

  • Ethical AI in education

Target: School teachers, education administrators, curriculum designers


NPTEL COURSES (National Programme on Technology Enhanced Learning)

Free Online Courses from IIT Professors

Access: Free audit, optional paid certificate (₹500-1000 after course completion)


1. Introduction to Artificial Intelligence (NPTEL)

Duration: 12 weeks

Level: Undergraduate/Postgraduate

Coverage:

  • AI problem-solving techniques

  • Search algorithms (BFS, DFS, A*)

  • Game playing & adversarial search

  • Knowledge representation

  • Inference methods

  • Machine learning basics

Assessment: Assignments, quizzes, final exam

Certificate: Available for nominal fee (₹1000)


2. Fundamentals of Artificial Intelligence (NPTEL)

Duration: 12 weeks

Level: Postgraduate

Detailed Content:

  • Advanced AI concepts

  • Probabilistic reasoning

  • Bayesian networks

  • Logical reasoning

  • Planning & scheduling

  • NLP basics


3. AI in Industrial and Management Applications (NPTEL)

Duration: 8 weeks

Practical Focus:

  • Real industrial applications

  • Supply chain optimization

  • Manufacturing systems

  • Quality control using AI

  • Management decision-making

Project-Based: Industry case studies


Online AI Courses PREMIUM INTERNATIONAL PLATFORMS

1. Coursera: AI for Everyone by Andrew Ng

Duration: 4 weeks (2-3 hours/week)

Fees: ₹3,200 (Most Affordable International Course)

Instructor: Andrew Ng (AI Pioneer, Founder of Coursera)

Course Structure (4 Modules):

Module 1: What is AI? (1 hour)

  • Basics of AI & Machine Learning

  • Deep Learning introduction

  • Practical AI examples

  • Hype vs. Reality in AI

Module 2: Building AI Projects (1 hour)

  • Workflow for machine learning projects

  • Data collection & preparation

  • Model training & evaluation

  • Deployment considerations

  • Case studies: AI project examples

Module 3: Building AI in Your Company (2 hours)

  • Strategy for AI transformation

  • Workflow of a machine learning project

  • AI technology stack

  • Data requirements

  • AI Transformation Playbook

  • Practical implementation steps

  • Pitfalls to avoid

Module 4: AI and Society (1 hour)

  • AI bias & fairness

  • Privacy & security concerns

  • Ethics in AI

  • AI's societal impact

  • Future of work with AI

Learning Materials:

  • 10 videos (89 minutes total)

  • 2 readings

  • 4 quizzes (30 minutes each)

  • Assignments

Skills Gained:

  • Artificial Intelligence fundamentals

  • Data Science basics

  • Machine Learning concepts

  • AI Product Strategy

  • Responsible & Ethical AI

  • Strategic thinking with AI

  • Deep Learning fundamentals

Certification: Coursera Certificate (Shareable on LinkedIn)

Target Audience: Absolute beginners, non-technical professionals, business leaders

Advantages:

  • Andrew Ng's legendary teaching

  • Most affordable international course

  • Quick completion (1 week possible)

  • Suitable for ALL backgrounds

  • Certificate shareable on LinkedIn

  • Covers strategy + technical aspects

Disadvantages:

  • Not technically deep

  • No hands-on coding

  • Limited to concepts

Best For: Non-technical business leaders, managers, entrepreneurs wanting to understand AI

Rating: 4.9/5 (50,000+ reviews, 2.2M+ enrolled)

Website: coursera.org


2. HarvardX: Machine Learning and AI with Python (edX)

Duration: 6 weeks | Fees: ₹60,000-1,20,000

Level: Beginner-Advanced

Content Modules:

  • Python ML fundamentals

  • Supervised learning algorithms

  • Neural networks & deep learning

  • Generative Adversarial Networks (GANs)

  • Autonomous systems

  • AI ethics

Hands-on Projects:

  • Real datasets

  • Model building & training

  • Performance evaluation

  • System deployment

Certification: Harvard Certificate

Rating: 4.8/5


3. IBM AI Engineering Professional Certificate (Coursera)

Duration: 6 months | Fees: ₹40,000

Curriculum (4 Courses):

Course 1: Machine Learning with Python

  • Supervised learning

  • Unsupervised learning

  • Regression, classification, clustering

  • Model evaluation

Course 2: Introduction to Deep Learning

  • Neural networks architecture

  • Activation functions

  • Backpropagation

  • TensorFlow basics

Course 3: Deep Learning and Reinforcement Learning

  • CNN, RNN architectures

  • Q-learning

  • Policy gradients

Course 4: AI Capstone Project

  • Real-world problem

  • End-to-end implementation

  • Deployment

IBM Watson Integration: Access to IBM Cloud & Watson AI services

Certification: IBM-recognized certificate

Career Path: IBM ecosystem professionals, enterprise AI developers


4. Stanford AI Professional Program

Duration: 1 year | Fees: ₹1,50,000

Comprehensive Curriculum:

  • Neural networks & deep learning

  • Reinforcement learning

  • Computer vision

  • Natural language processing

  • AI ethics & fairness

  • AI strategy

Features:

  • Access to Stanford AI labs

  • Peer study groups

  • Live workshops

  • Industry guest lectures

  • Capstone project with real problems

Certificate: Stanford Certificate

Rating: Highly Reputed

Target: Serious learners seeking comprehensive AI foundation


5. MIT: Introduction to Deep Learning (edX)

Duration: 4 weeks | Fees: Free

Coverage:

  • Deep learning fundamentals

  • TensorFlow & PyTorch

  • Convolutional neural networks

  • Recurrent neural networks

  • Sequence-to-sequence models

  • Attention mechanisms

Labs: Hands-on deep learning labs

Certification: Optional paid certificate

Prestige: MIT brand recognition


6. Fast.ai: Practical Deep Learning for Coders

Duration: 7 weeks | Fees: Free

Philosophy: Top-down, practical-first learning

Curriculum:

  • Computer vision

  • NLP (Natural Language Processing)

  • Tabular data

  • Building applications

  • Production deployment

  • Ethics in ML

Unique Features:

  • Real datasets & problems

  • Fast AI library (simplified PyTorch)

  • Project-based

  • No prerequisites needed

Rating: 4.6/5

Community: Active Kaggle & GitHub community

Best For: Those wanting to build AI projects quickly


INDIAN EDTECH PLATFORMS

1. upGrad: PG in Data Science & AI (Executive)

Duration: 6 months | Fees: ₹1,80,000

Format: Live classes + Self-paced + Projects

Modules (6 Total):

Module 1: Foundations of AI

  • Python programming for AI

  • Statistics & probability

  • Data visualization (Tableau, Power BI)

  • Fundamentals of ML

Module 2: Machine Learning: Supervised

  • Regression (Linear, Multiple, Logistic)

  • Classification (k-NN, Naive Bayes)

  • Decision trees & ensemble methods

  • Model evaluation metrics

Module 3: Machine Learning: Unsupervised

  • Clustering (k-means, hierarchical)

  • Dimensionality reduction (PCA)

  • Expectation maximization

Module 4: Deep Learning

  • Neural network architecture

  • TensorFlow & Keras

  • CNN for computer vision

  • RNN for sequence data

  • LSTMs & attention mechanisms

Module 5: Advanced Topics

  • Reinforcement learning

  • NLP & text analysis

  • Generative AI

  • MLOps & model deployment

Module 6: Capstone Project

  • Industry-level real project

  • End-to-end implementation

  • Portfolio development

Learning Features:

  • Live mentoring sessions (weekly)

  • Recorded lectures available

  • Industry projects (5+ hands-on)

  • Internship opportunities

  • Doubt-solving community

  • Career counseling

Certification: upGrad Post-Graduate Certificate (Industry-recognized)

Placement Support:

  • Career assistance portal

  • Resume building support

  • Interview preparation

  • Job assistance (placement rate: 70-80%)

Average Salary After Program: ₹8-12 LPA

Top Recruiters: TCS, Infosys, HCL, Flipkart, Amazon

Advantages:

  • Live mentoring

  • Industry projects

  • Placement assistance

  • Flexible scheduling

  • Reasonable fees for value

Best For: Working professionals, career changers

Website: upgrad.com


2. upGrad: Advanced Generative AI Certificate

Duration: 4 months | Fees: ₹30,000+

Specialization: Latest Generative AI Trends

Modules:

  • Generative AI fundamentals

  • Large Language Models (LLMs)

  • ChatGPT & GPT-4 applications

  • Prompt engineering

  • Fine-tuning & customization

  • Retrieval-Augmented Generation (RAG)

  • Building Gen AI applications

  • Ethics in Generative AI

Tools & Frameworks:

  • OpenAI API

  • Hugging Face

  • LangChain

  • Vector databases

Projects:

  • Chatbot development

  • Document summarization

  • Code generation tools

  • Custom AI assistants

Best For: Those wanting latest Gen AI skills quickly


3. Great Learning: PGP AI & ML (Multiple Formats)

Formats Available:

  1. Online Self-Paced: ₹1,20,000+, 12 months

  2. Blended (Online + Classroom): ₹1,80,000+, 12 months

  3. Full-Time Bootcamp: ₹3,00,000+, 6 months

Duration: 12 months (Online), 6 months (Full-time)

Universities: Partnered with Great Lakes Institute, PES University, Deakin University

Curriculum (9 Modules):

Module 1: Foundations of AI

  • Python programming

  • Statistics & probability

  • Data visualization

  • Excel & databases

Module 2: Machine Learning - Supervised

  • Regression techniques

  • Classification algorithms

  • Decision trees

  • Model evaluation

Module 3: Machine Learning - Unsupervised

  • Clustering algorithms

  • Dimensionality reduction

  • Association rules

Module 4: Machine Learning - Ensemble

  • Bagging & boosting

  • Random forests

  • Gradient boosting (XGBoost)

Module 5: Reinforcement Learning

  • MDPs & Q-learning

  • Policy gradients

  • Deep Q-learning

Module 6: Deep Learning

  • Neural networks

  • TensorFlow & Keras

  • Activation functions

  • Regularization

Module 7: Deep Learning - Computer Vision

  • CNNs architecture

  • Image preprocessing

  • Object detection

  • Face recognition

Module 8: Deep Learning - NLP

  • Text preprocessing

  • Word embeddings (Word2Vec, GloVe)

  • Sentiment analysis

  • Text generation

  • Transformers (BERT, GPT)

Module 9: Intelligent Agents

  • Uninformed search

  • Heuristic search

  • Adversarial search

  • Planning algorithms

Projects: 8+ hands-on projects with real datasets

Certification:

  • Post-graduate certificate from Great Learning

  • University degree (if opted through partner university)

  • Industry-recognized

Placement Support:

  • Career assistance

  • Job board access

  • 70-80% placement rate

  • Average salary: ₹10-15 LPA

Advantages:

  • Multiple format options

  • University partnerships

  • Strong placement network

  • Industry-aligned curriculum

  • Active community

Best For: Various learning styles (Online, blended, full-time)


4. HCL GUVI: AI & ML Course

Duration: 6 months | Fees: ₹89,999

Format: Mentor-led, live sessions + projects

Modules:

Phase 1: Programming & Foundations

  • Core Java/Python

  • Data structures

  • SQL databases

  • Git version control

Phase 2: Data Science Fundamentals

  • Pandas, NumPy

  • Data visualization

  • Statistics

  • EDA

Phase 3: Machine Learning

  • Supervised learning

  • Unsupervised learning

  • Ensemble methods

  • Model deployment

Phase 4: Deep Learning

  • Neural networks

  • TensorFlow

  • CNN, RNN

  • Real-world projects

Learning Features:

  • Mentor-guided approach

  • Weekly live sessions

  • Real-world case studies

  • Hands-on capstone

  • Community support

Certification: HCL GUVI Industry-Recognized Certificate

Placement: Connected to HCL hiring network

Average Package: ₹5-8 LPA entry-level

Best For: Practical learners seeking mentorship

Website: hclguvi.in


SPECIALIZED PLATFORMS

1. DeepLearning.AI: Generative AI Programs

Instructor: Andrew Ng

Programs Available:

  1. Generative AI for Everyone - 3 weeks, ₹3,200-5,000

  2. Short Courses - 1-4 weeks, Variable fees

  3. Specializations - Multiple paths, Flexible

Content:

  • Generative AI fundamentals

  • LLMs & prompt engineering

  • Fine-tuning & customization

  • Building Gen AI applications

  • Ethics & limitations

Features:

  • Expert instruction

  • Hands-on labs

  • Industry-relevant

  • Certificate upon completion


2. Google Cloud: Generative AI Professional Certificate

Duration: 3-6 months | Fees: Variable (Often subsidized)

Curriculum (5 Courses):

  1. Introduction to Generative AI

    • AI fundamentals

    • Gen AI landscape

    • Google tools overview

  2. Generative AI with Large Language Models

    • LLM architecture

    • Prompt engineering

    • Model customization

  3. Encoder-Decoder Architecture

    • Sequence-to-sequence models

    • Transformer models

    • Attention mechanisms

  4. Attention Mechanism

    • Mathematical foundations

    • Applications

    • Implementation

  5. Generative AI Capstone Project

    • Real-world application

    • Full pipeline implementation

    • Deployment

Tools Covered:

  • Google Vertex AI

  • Cloud AI platform

  • Generative AI APIs

  • Python libraries

Certification: Google Cloud Certificate

Career Path: Cloud AI specialists, Gen AI developers


3. Simplilearn: AI & ML with Python

Duration: 6 months | Fees: ₹50,000+

Structured Curriculum:

Phase 1: Python Fundamentals (Month 1)

  • Core Python

  • Data structures

  • Libraries (NumPy, Pandas)

Phase 2: Statistics & Visualization (Month 1-2)

  • Descriptive statistics

  • Probability distributions

  • Data visualization (Matplotlib, Seaborn)

Phase 3: Machine Learning (Month 2-4)

  • Supervised learning

  • Unsupervised learning

  • Ensemble methods

  • Evaluation metrics

Phase 4: Deep Learning (Month 4-5)

  • Neural networks

  • TensorFlow & Keras

  • CNN & RNN

  • Transfer learning

Phase 5: Capstone Project (Month 5-6)

  • Real-world dataset

  • End-to-end pipeline

  • Portfolio development

Learning Format:

  • Video lectures

  • Live instructor sessions

  • Lab exercises

  • Project-based learning

Certification: Simplilearn AI & ML Certificate

Placement: Assistance provided

Best For: Structured learning seekers


4. Unacademy Plus: AI & ML Courses (GATE/Exam Prep)

Duration: Flexible | Fees: ₹5,000-50,000/month

Specialization: Competitive exam preparation with AI focus

Content:

  • GATE computer science preparation

  • ESE exams

  • PSU interviews

  • AI & ML specialization

Features:

  • Expert mentors

  • Batch-based learning

  • Live doubt-solving

  • Community interaction

Best For: Competitive exam aspirants

Website: unacademy.com


5. Udemy: AI & Machine Learning Courses

Duration: Varies (10-50 hours typically) | Fees: ₹649-2,500/course

Course Variety: 100+ AI/ML courses available

Popular Courses:

  • "Machine Learning A-Z" (₹1,199)

  • "Deep Learning Specialization" (₹2,499)

  • "Python for Data Science" (₹999)

  • "Generative AI & LLMs" (₹1,499)

Features:

  • Self-paced learning

  • Lifetime access

  • Money-back guarantee

  • Project files included

  • Certificate of completion

Certification: Udemy Certificate (Limited value)

Best For: Absolute beginners, budget-conscious, specific skills

Website: udemy.com


6. Edx: Free AI Courses

Duration: Flexible | Fees: Free (Optional certificate ₹500-1,000)

Offerings:

  • University courses (MIT, Harvard, Berkeley)

  • Professional certificates

  • Bootcamps

  • Degree programs

Free Courses Include:

  • "Introduction to AI" (UC Berkeley)

  • "Deep Learning" (MIT)

  • "Data Science" (Harvard)

  • Many more

Certificate: Optional paid certificate for course completion

Best For: Budget-conscious learners, academic orientation

Website: edx.org


PREMIUM IIM PROGRAMS

1. IIM Raipur: Executive PG Diploma in AI & ML

Duration: 12 months | Fees: ₹1,25,000+

Format: Online with blended options

Curriculum:

  • AI fundamentals

  • Machine learning algorithms

  • Deep learning

  • Business applications

  • Capstone project

Target: Executives, managers, business leaders

Certification: IIM Raipur Executive Certificate

Prestige: IIM brand value

Best For: Career advancement at senior level


2. IIM Kozhikode: PG Programme in AI & ML

Duration: 11 months | Fees: ₹3,15,000

Format: Online

Program Features:

  • Premium curriculum

  • IIM faculty & expertise

  • Industry case studies

  • Capstone projects

  • Alumni network

Certification: Master's-equivalent credential

Career Impact: Significant for C-level aspirations

Best For: Premium seekers, established professionals

Website: iimk.ac.in


Online AI Courses COMPARISON TABLES

By Cost

Program

Duration

Fees

Best For

IGNOU BSc

3 years

₹6,000

Budget learners

NPTEL/SWAYAM

Varies

Free

Serious learners

Coursera AI for Everyone

4 weeks

₹3,200

Quick intro

BITS BSc

3 years

₹3.12L

Full degree

IIM Kozhikode

11 months

₹3.15L

Premium experience

By Duration

Program

Duration

Commitment

Coursera AI for Everyone

4 weeks

Minimal

Google Cloud Gen AI

3-6 months

Medium

upGrad PG

6 months

Significant

BITS BSc

3 years

Major

IGNOU BSc

3 years

Flexible

By Intensity

Program

Type

Difficulty

IIT SWAYAM/NPTEL

Free

Varies

Coursera (Andrew Ng)

Beginner

Easy

upGrad PG

Professional

Medium-Hard

Stanford AI Program

Premium

Hard

IIM Programs

Executive

Hard

RECOMMENDATIONS BY PROFILE

For Complete Beginners (₹0-5,000)

  1. Coursera "AI for Everyone" (₹3,200) - Best overview

  2. IIT SWAYAM "AI/ML Using Python" (Free) - Hands-on coding

  3. NPTEL Intro to AI (Free) - Theoretical foundation


For Working Professionals (₹1-3 Lakhs)

  1. upGrad PG Data Science (₹1.8L, 6 months) - Placement support

  2. Great Learning PGP (₹1.2-1.8L, 12 months) - Flexibility

  3. IIM Raipur Executive (₹1.25L, 12 months) - IIM prestige


For Career Changers (₹2-4 Lakhs)

  1. BITS Digital BSc (₹3.12L, 3 years) - Degree + career shift

  2. Great Learning Bootcamp (₹3L, 6 months) - Intensive, placement-focused

  3. Digital Regenesys (₹3L, 37 weeks) - Comprehensive


For Full-Time Students (₹6K-3L)

  1. IGNOU BSc (₹6,000, 3 years) - Ultra-affordable degree

  2. BITS BSc (₹3.12L, 3 years) - Premium degree

  3. Great Learning Full-time (₹3L, 6 months) - Intensive bootcamp


For Latest Gen AI Skills (₹30K-2L)

  1. upGrad Gen AI Certificate (₹30K+, 4 months) - Latest trends

  2. Google Cloud Gen AI (Variable, 3-6 months) - Industry standard

  3. DeepLearning.AI Programs (Variable) - Andrew Ng's Gen AI courses


For Maximum Affordability (₹0-10K)

  1. IGNOU BSc (₹6,000) - Full degree

  2. SWAYAM/NPTEL (Free) - Government courses

  3. Coursera + YouTube (₹3,200) - Self-paced learning


KEY METRICS COMPARISON

Placement Rates:

  • IIT Programs: 95-98%

  • Great Learning/upGrad: 70-80%

  • BITS: 85-90%

  • IGNOU: 60-75%

Average Fresher Salaries:

  • IIT Hyderabad BTech: ₹9-15 LPA

  • upGrad/Great Learning: ₹8-12 LPA

  • BITS Online: ₹7-10 LPA

  • IGNOU: ₹4-7 LPA

Time to Placement:

  • Bootcamps: 2-4 weeks

  • PGP Programs: 1-3 months

  • Degree Programs: After graduation

  • Certifications: Immediate to 3 months


CONCLUSION

The online AI education landscape in India offers options for every budget, time commitment, and learning style. Choose based on:

  1. Budget: ₹6K (IGNOU) to ₹3.15L (IIM Kozhikode)

  2. Duration: 4 weeks (Quick courses) to 3 years (Degrees)

  3. Format: Free, Bootcamp, Part-time PGP, or Full degree

  4. Career Goals: Skill-building, Degree, Specialization, or Career Shift

  5. Learning Style: Self-paced, Mentored, Live, or Blended

All paths lead to rewarding AI careers with growing demand and attractive salaries across industries.

 
 
 

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