• GAMER
  • Build Your Own Agent
  • Python & Programming
  • Data Science and Analytics
  • Tools & Technologies
  • Business & Professional
  • Essentials  Generative AI, Prompt Engineering & ChatGPT
  • Programming Refreshers – Python
  • Data Structure and Algorithms with Python
  • Applied Data Science with Python
  • Machine Learning
  • Deep Learning
  • Build Your Own Agent
  • Foundations of Large Language Models (LLMs)
  • Setting Up Your Development Environment
  • Core Concepts of LLM
  • Introduction to Intelligent Agents
  • Building Basic LLM Agents
  • Advanced Agent Features
  • Integrating Agents with APIs
  • Reinforcement Learning for Agents
  • AI Agents Market
  • Python Powerhouse Gen AI From Basics to Advanced Programming
  • Mastering Time Series Analysis and Forecasting with Python
  • Data Diving: A Beginner’s Guide to Data bricks
  • Advanced DataBricks -Data Warehouse Performance Optimization.
  • Power BI and AI Integration for Building Intelligent Dashboards
  • Applied Statistics Real World Problem Solving
  • SQL for Data Engineers Designing and Building Data Pipelines
  • UCI Data Preprocessing and Exploratory Data Analysis
  • Docker
  • AWS-Security
  • Unit Testing
  • Advanced Excel Techniques for Professionals
  • Mastering Aptitude: A Comprehensive Guide to Problem Solving
  • Professional Business Strategy Managing Organisational Value

Thank You

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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

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

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

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

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

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

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

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