Step by Step Process

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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)
Hashing and Hash Tables
Searching Algorithms (Linear Search, Binary Search)
Sorting Algorithms (Bubble Sort, Quick Sort, Merge Sort, Heap Sort)
Dynamic Programming (Basics and Applications)
Greedy Algorithms
Divide and Conquer Techniques
Advanced Data Structures (Heaps, Tries, Disjoint Sets)
Time and Space Complexity Analysis

Programming Refreshers – Python

Module-2

^. . _{4 Weeks}

Fundamentals of Programming
Introduction to Python Programming
Python Variables and Data Types Python
Operators Conditional Statements in Python Loops in Python
Python Functions Object-Oriented Programming Concepts with Python
Exception Handling in Python
Threading in Python
Regular Expressions in Python
Logging in Python
File Handling in Python

Essentials Generative AI, Prompt Engineering & ChatGPT

Module -1

^$ $ _{3 Weeks}

Introduction to Generative AI Models
Explainable AI
Prompt Engineering
ChatGPT
Fine-tuning ChatGPT
Ethical Considerations in Generative AI Models & ChatGPT
The Future of Generative AI
Deploying and Scaling ChatGPT
Security and Privacy Considerations
Monitoring and Debugging ChatGPT
Maintaining ChatGPT

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Build Your Own Agent with the Help of LLMs

Deep Learning

Machine Learning

Applied Data Science with Python

Data Structure and Algorithms with Python

Programming Refreshers – Python

Essentials Generative AI, Prompt Engineering & ChatGPT