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Generative AI Training Overview

Generative AI Training Course Description

Generative AI is one of the most exciting areas in modern technology, transforming how we build applications, create digital content, and automate complex tasks. From intelligent chat systems to AI-powered image generation tools, Generative AI is helping professionals and businesses unlock new levels of productivity and creativity. This comprehensive Generative AI course is designed to give you both conceptual clarity and practical skills required to work with modern AI systems.
In this program, you will explore how Large Language Models (LLMs) such as GPT function, how prompt engineering influences AI responses, and how advanced models generate text, images, and intelligent outputs. The course gradually guides you through core concepts like transformers, embeddings, and retrieval-based systems before moving into hands-on implementation. Rather than focusing only on theory, the training emphasizes building real-world applications that demonstrate how Generative AI works in practical environments.
You will also gain exposure to modern tools and APIs used in AI development, learning how to integrate AI capabilities into applications, automate workflows, and design intelligent assistants. Each module is structured to help you build confidence step by step, making complex topics easier to understand and apply.
By the end of this Generative AI training, you will have a strong foundation in AI model architecture, practical development skills, and a clear understanding of how to use AI responsibly and effectively. Whether you are a developer, data enthusiast, student, or entrepreneur, this course equips you with the knowledge needed to stay relevant in the rapidly evolving world of Artificial Intelligence.

Generative AI Training Course Syllabus

  • Introduction to Generative Models
  • Evolution of AI to Generative Systems
  • Discriminative vs Generative Models
  • Real-world Applications
  • Industry Landscape & Career Paths
  • Attention Mechanism Explained
  • Self-Attention & Multi-Head Attention
  • Positional Encoding
  • Encoder-Decoder Architecture
  • Scaling Laws of LLMs
  • GPT, BERT and Modern LLM Families
  • Tokenization & Embeddings
  • Pre-training vs Fine-Tuning
  • Model Evaluation Metrics
  • Responsible AI & Bias
  • Zero-shot, Few-shot & Chain-of-Thought Prompting
  • Role-Based and System Prompts
  • Prompt Chaining Techniques
  • Prompt Testing & Optimization
  • Real Business Case Implementations
  • Working with OpenAI API
  • Handling Context & Memory
  • Streaming Responses
  • Cost Optimization
  • Deploying AI Applications
  • Embeddings & Vector Databases
  • Semantic Search
  • Chunking Strategies
  • Building Knowledge-based Chatbots
  • RAG Architecture Implementation
  • Supervised Fine-Tuning
  • LoRA & PEFT
  • Dataset Preparation
  • Model Evaluation
  • Performance Optimization
  • Stable Diffusion
  • Text-to-Image Workflow
  • Fine-Tuning Diffusion Models
  • Creative AI Applications
  • AI Agents Concept
  • Tool Calling with LLMs
  • LangChain Basics
  • Multi-Agent Workflow
  • Autonomous AI Systems
  • Embedding Models
  • Vector Storage Concepts
  • Qdrant & Pinecone
  • Similarity Search
  • Model Deployment Strategies
  • Docker & API Deployment
  • Monitoring & Logging
  • Scaling AI Systems
  • AI Risks & Misuse
  • Data Privacy
  • Prompt Injection Attacks
  • Ethical AI Practices
  • Conversation Flow Design
  • Context Retention
  • Chatbot UI Integration
  • Deployment on Cloud
  • Token Optimization
  • Model Quantization
  • Latency Reduction
  • Scaling Strategies
  • AI Content Generator Application
  • RAG-based Knowledge Assistant
  • AI Agent Automation Workflow
  • End-to-End Deployment Project

Generative AI Training - Tutorials & Learning Guide

Welcome to the complete learning tutorials for Generative AI Training. These tutorials are designed in simple language with examples, practice questions, and real-world projects to help you master the course step by step.

📘 Course Tutorials
📖 Generative AI Training Tutorials & Learning

Understand the basics, scope, and career opportunities in Generative AI Training. Learn why this technology is important and how it is used in real industries.

🎯 Interview Preparation

Most asked interview questions and real-world scenarios from Generative AI Training to help you crack interviews.

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Edugators platform is the best place to learn live classes, and live projects by which you can understand easily and have excellent customer service.

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Full Stack Developer

It was a very good experience. Edugators and the instructor worked with us through the whole process to ensure we received the best training solution for our needs.

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Web Design

I would definitely recommend taking courses from Edugators. The instructors are very knowledgeable, receptive to questions and willing to go out of the way to help you.

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