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Python and Programming
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Data Science and Analytics
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Tools and Technologies
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Business and Professional Skills
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Course Registration
Build Your Own Agent with the Help of LLMs
Module-7
3.4 Weeks
Foundations of Large Language
Models (LLMs)
Setting Up Your Development
Environment
Core Concepts of LLM
Introduction to Inteligent Agents
Building Basic LLM Agents
Advanced Agent Features
Integrating Agents with APIs
Reinforcement Learning for Agents
AI Agents Market
Project: Custom Agent Development
Deployment and Scalability
Ethics and Bias in AI Agents
Deep Learning
Module-6
3.3 Weeks
Introduction to AI and Deep Learning
Artificial Neural Networks (ANN)
Deep Neural Networks (DNN)
Optimization and Hyperparameter Tuning
Convolutional Neural Networks (CNN)
Recurrent Neural Networks (RNN)
Transformer Models for NLP
Minimizing the Error Function with Gradient Descent
Autoencoders
Training Neural Networks
Advanced Topics in Deep Learning
Machine Learning
Module-5
..4 Weeks
Machine Learning Fundamentals
Supervised Learning
Regression Models and Applications
Classification Models and Applications
Unsupervised Learning
Ensemble Learning
Recommendation Systems
Applied Data Science with Python
Module-4
..4 Weeks
Introduction to Data Science
Working with NumPy
Data Manipulation with Pandas
Linear Algebra for Data Science
Fundamentals of Statistics
Probability Distributions
Advanced Statistical Concepts
Data Analysis Techniques
Data Wrangling and Preprocessing
Data Visualization
Data Structure and Algorithms with Python
Module-3
3.4 Weeks
Introduction to Data Structures and Algorithms
Arrays and Strings
Linked Lists (Singly and Doubly Linked Lists)
Stacks and Queues
Recursion and Backtracking
Trees (Binary Trees, Binary Search Trees, AVL Trees)
Graphs (Representation, Traversal, and Algorithms like BFS, DFS)