Gen AI Online Course

About the Gen AI Online Course

The Gen AI Online training covers the tools and technologies used to develop Generative AI applications. You will learn Python for AI, machine learning, deep learning, Natural Language Processing (NLP), transformer models, prompt engineering, and LLM fine-tuning. The course also includes LangChain, LlamaIndex, LangGraph, CrewAI, Hugging Face, Retrieval-Augmented Generation (RAG), vector databases, semantic search, AI agents, and Agentic AI. As part of the practical training, you will work on projects such as AI chatbots, document-based question-answering systems, knowledge assistants, and workflow automation. These exercises help you understand how different Gen AI tools work and how to use them to build applications for real-world needs.

What You Will Learn

• Explore transformer architecture, tokenisation, and model inference.
• Learn context window management, temperature settings, and LLM output control.
• Understand function calling, structured outputs, and tool integration.
• Build document processing systems using text chunking and metadata filtering.
• Work with LLM evaluation, hallucination checks, and response quality testing.
• Learn model serving, inference optimisation, logging, and AI application monitoring.

Syllabus of Gen AI Online Course

Module 1: Introduction to Generative AI

• What Is Generative AI?
• Generative AI vs Traditional AI
• Foundation Models Overview
• Business Applications of Gen AI
• Gen AI Project Lifecycle

Module 2: Python for Gen AI

• Python Syntax Fundamentals
• API Integration
• Working with JSON Data
• Scripting and Automation

Module 3: Large Language Models (LLMs)

• Transformer Architecture Basics
• GPT, Claude and Gemini Overview
• Tokenization and Context Windows
• Model Selection Criteria

Module 4: Prompt Engineering

• Prompt Design Techniques
• Few-Shot and Chain-of-Thought Prompting
• System and User Prompts
• Prompt Evaluation

Module 5: LangChain Framework

• LangChain Framework Basics
• Chains and Memory
• Tool and Function Calling
• Output Parsing

Module 6: AI Agents and Automation

• Agent Architecture
• Multi-Step Task Automation
• Agent Orchestration
• Workflow Automation

Module 7: Retrieval-Augmented Generation (RAG)

• Vector Database Fundamentals
• Embeddings and Similarity Search
• RAG Pipeline Design
• Knowledge Base Integration

Module 8: Hugging Face and Fine-Tuning

• Hugging Face Model Hub
• Model Fine-Tuning Basics
• Transformers Library
• Transfer Learning Concepts

Module 9: Responsible AI and Deployment

• AI Safety and Bias Considerations
• API Cost and Rate Management
• Application Deployment
• Monitoring AI Applications

Module 10: Capstone Project

• End-to-End Gen AI Application
• RAG-Based Knowledge Assistant
• AI Agent Implementation

Upcoming Batch Schedule for Gen AI Online Course

Besant Technologies provides flexible timings to all our students. Here are the Gen AI Training Classes Schedule in our branches. If this schedule doesn’t match please let us know. We will try to arrange appropriate timings based on your flexible timings.

Trainers Profile of Gen AI Online Training

Praveen Narayanan has over 19 years of IT industry experience in artificial intelligence, software engineering, cloud technologies, and enterprise application development. He is currently working as a Senior AI Solutions Architect at Microsoft, with experience in developing AI-driven solutions and integrating Large Language Models into business applications.

His technical expertise includes Generative AI, Python, transformer models, LLM fine-tuning, prompt engineering, Retrieval-Augmented Generation (RAG), vector search, AI agents, multi-agent systems, model evaluation, and AI application deployment. His work also covers responsible AI practices, model performance evaluation, and integrating AI solutions with enterprise systems.

He has experience delivering online training to learners in the USA, UK, UAE, Australia, and Canada, helping them understand Generative AI concepts through technical sessions, coding exercises, and practical project scenarios.

His training focuses on LLM application development, RAG-based knowledge systems, AI agents, model evaluation, cloud deployment, and real-world AI implementation. He also guides learners through project development, technical interview preparation, and the practical skills required for Generative AI roles.

Gen AI Online Course Exam & Certification

Key Features of Gen AI Online Training

• Live Online Training: Attend interactive sessions from anywhere and learn Generative AI concepts with trainer guidance.
• Advanced LLM Concepts: Understand tokenisation, context windows, inference parameters, and model behaviour.
• Prompt Design Techniques: Practise zero-shot, few-shot, and chain-of-thought prompting for different use cases.
• AI Application Integration: Learn to connect language models with APIs, databases, and external tools.
• RAG Implementation: Work with document loading, text chunking, embeddings, retrieval strategies, and response generation.
• AI Agent Development: Explore tool calling, task planning, memory, and multi-step AI workflows.
• Model Testing and Evaluation: Learn to assess response quality, factual accuracy, hallucinations, and application performance.
• Real-World Project Practice: Develop practical solutions such as knowledge assistants, document analysis tools, and AI-powered support systems.
• Global Learning Access: Join online sessions from locations across the USA, UK, UAE, Australia, and Canada, subject to batch schedules.
• Career Preparation: Get guidance on project presentations, resume preparation, technical interviews, and Generative AI job requirements.

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