Generative AI Course by Kotapati Lakshmareddy Online

The Generative AI Course is a comprehensive, industry-focused training program designed to help learners understand and apply modern Artificial Intelligence technologies, especially Large Language Models (LLMs). This course provides a structured learning pathway from AI fundamentals to building real-world AI applications such as chatbots, document analysis systems, and intelligent content generation tools.

With the rapid growth of AI-powered technologies across industries, there is a strong demand for professionals who can understand, design, and deploy intelligent AI solutions. This program equips students, developers, and working professionals with practical skills in prompt engineering, AI integration, Retrieval-Augmented Generation (RAG), and AI application development.

The course combines conceptual learning with hands-on projects to ensure learners gain both theoretical understanding and real implementation experience in Generative AI systems.

What Students Will Learn

Module 1: Introduction to Generative AI

• What is Generative AI?

• Applications and real-world use cases

• Overview of Large Language Models (LLMs)

• AI tools and ecosystem

Module 2: Foundations of AI & Machine Learning

• Basics of Machine Learning concepts

• Neural networks fundamentals

• Natural Language Processing (NLP) basics

Module 3: Working with Large Language Models (LLMs)

• How LLMs work

• Model capabilities and limitations

• Using pre-trained AI models

• API-based AI integration

Module 4: Prompt Engineering

• What is prompt engineering

• Writing effective prompts

• Prompt patterns and techniques

• Real-world prompt design practice

Module 5: Building AI Applications

• AI chatbots development

• Text generation systems

• Question-answering applications

• Document processing AI tools

Module 6: Retrieval-Augmented Generation (RAG)

• Concept of RAG architecture

• Embeddings and vector databases

• Knowledge-based AI systems

• Building document Q&A systems

Module 7: AI Frameworks & Tools

• AI development frameworks overview

• Model integration in applications

• Workflow automation with AI

Module 8: Real-World Projects

• AI chatbot project

• PDF question-answer system

• Content generation tool

• Custom AI assistant

Module 9: Responsible AI & Best Practices

• AI ethics and limitations

• Data privacy and security

• Bias and responsible usage

Module 10: Deployment & Career Guidance

• Deploying AI applications

• Portfolio building

• Industry use cases

• Career paths in Generative AI

Teaching Method

This course is delivered through live online sessions, ensuring flexible learning for students and professionals. The teaching approach includes:

• Concept-focused interactive sessions
• Live demonstrations of AI tools
• Hands-on coding practice
• Real-world project implementation
• Guided assignments and mentoring
• Doubt-clearing and progress tracking

The learning methodology emphasizes practical application to help students confidently build AI solutions.

Why Learn from This Tutor

The course is designed with a practical and structured approach that helps learners progress from basic AI concepts to advanced application development. The training focuses on clarity, real-world implementation, and hands-on experience to ensure students develop industry-relevant AI skills.

Outcome of the Course

• Understand how Generative AI works

• Ability to build real AI applications

• Hands-on experience with LLMs and RAG systems

• Industry-ready AI development skills