About Course

Master Generative AI and learn how to build intelligent AI-powered applications that generate text, images, code, audio, and business solutions using Large Language Models (LLMs), ChatGPT, Gemini, Claude, Microsoft Copilot, LangChain, and Retrieval-Augmented Generation (RAG). This comprehensive programme equips learners with practical skills in Generative AI development, AI content generation, AI application development, prompt optimization, AI workflows, and enterprise AI integration, preparing them for the rapidly growing AI job market. Through hands-on projects and real-world case studies, learners will develop production-ready Generative AI solutions for business automation, customer service, software development, education, healthcare, finance, and digital transformation.

Build AI-powered applications using LLMs (ChatGPT, Gemini, Claude, open-source models)
Design and optimize prompts, including context engineering and evaluation
Generate AI content: text, images, video, and audio
Build with LangChain and LlamaIndex for AI workflows and agents
Implement Retrieval-Augmented Generation (RAG) using vector databases and embeddings
Develop chatbots, AI assistants, and AI-powered products via API integration
Deploy Generative AI applications with attention to security and responsible AI
Design and deploy an enterprise-grade Generative AI capstone project

Course Content

Module 1: Introduction to Generative AI
• Fundamentals of Generative AI • Evolution of Artificial Intelligence • AI Models & Architectures • Business Applications of Generative AI

Module 2: Large Language Models (LLMs)
• Understanding LLMs • GPT Models • Gemini • Claude • Open-Source LLMs

Module 3: Prompt Engineering Fundamentals
• Prompt Design • Prompt Optimization • Context Engineering • Prompt Evaluation

Module 4: AI Content Generation
• AI Text Generation • AI Image Generation • AI Video Generation • AI Audio Generation

Module 5: LangChain & AI Frameworks
• LangChain • LlamaIndex • AI Workflows • AI Agents

Module 6: Retrieval-Augmented Generation (RAG)
• Knowledge Retrieval • Vector Databases • Embeddings • Semantic Search

Module 7: AI Application Development
• Chatbot Development • AI Assistants • API Integration • AI Product Development

Module 8: AI Deployment & Governance
• AI Deployment • AI Security • Responsible AI • AI Compliance

Module 9: Capstone Project
Develop and deploy an enterprise-grade Generative AI application that integrates Large Language Models, Retrieval-Augmented Generation (RAG), AI automation, and intelligent workflows to solve a real-world business challenge.

Student Ratings & Reviews

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Generative AI: Build Intelligent AI-powered applications from Scratch

About Course

What Will You Learn?

Course Content

Module 1: Introduction to Generative AI
• Fundamentals of Generative AI • Evolution of Artificial Intelligence • AI Models & Architectures • Business Applications of Generative AI

Module 2: Large Language Models (LLMs)
• Understanding LLMs • GPT Models • Gemini • Claude • Open-Source LLMs

Module 3: Prompt Engineering Fundamentals
• Prompt Design • Prompt Optimization • Context Engineering • Prompt Evaluation

Module 4: AI Content Generation
• AI Text Generation • AI Image Generation • AI Video Generation • AI Audio Generation

Module 5: LangChain & AI Frameworks
• LangChain • LlamaIndex • AI Workflows • AI Agents

Module 6: Retrieval-Augmented Generation (RAG)
• Knowledge Retrieval • Vector Databases • Embeddings • Semantic Search

Module 7: AI Application Development
• Chatbot Development • AI Assistants • API Integration • AI Product Development

Module 8: AI Deployment & Governance
• AI Deployment • AI Security • Responsible AI • AI Compliance

Module 9: Capstone Project
Develop and deploy an enterprise-grade Generative AI application that integrates Large Language Models, Retrieval-Augmented Generation (RAG), AI automation, and intelligent workflows to solve a real-world business challenge.

About Course

What Will You Learn?

Course Content

Module 1: Introduction to Generative AI • Fundamentals of Generative AI • Evolution of Artificial Intelligence • AI Models & Architectures • Business Applications of Generative AI

Module 2: Large Language Models (LLMs) • Understanding LLMs • GPT Models • Gemini • Claude • Open-Source LLMs

Module 3: Prompt Engineering Fundamentals • Prompt Design • Prompt Optimization • Context Engineering • Prompt Evaluation

Module 4: AI Content Generation • AI Text Generation • AI Image Generation • AI Video Generation • AI Audio Generation

Module 5: LangChain & AI Frameworks • LangChain • LlamaIndex • AI Workflows • AI Agents

Module 6: Retrieval-Augmented Generation (RAG) • Knowledge Retrieval • Vector Databases • Embeddings • Semantic Search

Module 7: AI Application Development • Chatbot Development • AI Assistants • API Integration • AI Product Development

Module 8: AI Deployment & Governance • AI Deployment • AI Security • Responsible AI • AI Compliance

Module 9: Capstone Project Develop and deploy an enterprise-grade Generative AI application that integrates Large Language Models, Retrieval-Augmented Generation (RAG), AI automation, and intelligent workflows to solve a real-world business challenge.

Student Ratings & Reviews

Module 1: Introduction to Generative AI
• Fundamentals of Generative AI • Evolution of Artificial Intelligence • AI Models & Architectures • Business Applications of Generative AI

Module 2: Large Language Models (LLMs)
• Understanding LLMs • GPT Models • Gemini • Claude • Open-Source LLMs

Module 3: Prompt Engineering Fundamentals
• Prompt Design • Prompt Optimization • Context Engineering • Prompt Evaluation

Module 4: AI Content Generation
• AI Text Generation • AI Image Generation • AI Video Generation • AI Audio Generation

Module 5: LangChain & AI Frameworks
• LangChain • LlamaIndex • AI Workflows • AI Agents

Module 6: Retrieval-Augmented Generation (RAG)
• Knowledge Retrieval • Vector Databases • Embeddings • Semantic Search

Module 7: AI Application Development
• Chatbot Development • AI Assistants • API Integration • AI Product Development

Module 8: AI Deployment & Governance
• AI Deployment • AI Security • Responsible AI • AI Compliance

Module 9: Capstone Project
Develop and deploy an enterprise-grade Generative AI application that integrates Large Language Models, Retrieval-Augmented Generation (RAG), AI automation, and intelligent workflows to solve a real-world business challenge.