Artificial Intelligence Course Syllabus for Beginners in India
Artificial Intelligence Beginner Syllabus
The Indian AI market is expected to reach $17 billion by 2027. Start your journey today with a structured roadmap designed for freshers and professionals in India.
Artificial Intelligence is no longer just a futuristic concept; it is the core of modern Indian industry, from FinTech in Mumbai to IT Services in Bengaluru. This syllabus is tailored for beginners who want to move from basic coding to building intelligent agents.
In 2026, the focus has shifted from "knowing AI" to "applying AI." Our curriculum balances fundamental mathematics with the latest tools like Generative AI, LLMs, and MLOps, ensuring you are job-ready for Global Capability Centers (GCCs) across India.
Core Modules (Zero to Hero)
Module 1: Foundations of Python & Data Science
You cannot build AI without a strong grip on Python and data manipulation.
- Python Syntax & OOPS Concepts
- Data Libraries: NumPy & Pandas
- Exploratory Data Analysis (EDA)
- Probability & Applied Statistics
Module 2: Machine Learning Mastery
Learn the algorithms that allow machines to predict outcomes and classify data.
- Linear & Logistic Regression
- Decision Trees & Random Forests
- Support Vector Machines (SVM)
- Hyperparameter Tuning & Validation
Module 3: Deep Learning & Neural Networks
The tech behind self-driving cars and facial recognition.
- Artificial Neural Networks (ANN)
- Convolutional Neural Networks (CNN)
- Recurrent Neural Networks (RNN)
- TensorFlow & PyTorch Frameworks
Module 4: Generative AI & LLMs (2026 Specialization)
The most in-demand skill in the current job market.
- Intro to Transformers (BERT, GPT)
- Prompt Engineering Techniques
- Working with OpenAI & Claude APIs
- RAG (Retrieval-Augmented Generation)
India-Specific Capstone Projects
Crop Yield Prediction
Use historical weather and soil data to help Indian farmers optimize harvest timing.
E-commerce Sentiment Analysis
Analyze customer reviews from platforms like Flipkart and Amazon India to classify product sentiment.
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