Generative AI

Unlock the power of the most transformative technology of the decade. This course is designed to take professionals and aspiring tech specialists beyond simple chat interfaces. You will dive deep into the ecosystem of Large Language Models (LLMs), mastering the art of Prompt Engineering, exploring Retrieval-Augmented Generation (RAG), and learning how to build AI Agents that automate complex business tasks.

Course Content & Syllabus

Module 1: The Foundation of Generative AI

• Introduction to LLMs: How Transformers work (GPT, Claude, Llama).

• The AI Landscape: Understanding the difference between Predictive and Generative AI.

• Tokenization & Latent Space: How machines "read" and "visualize" text and images.

Module 2: Advanced Prompt Engineering

• Zero-Shot vs. Few-Shot Learning: Getting results with minimal data.
• Chain-of-Thought (CoT) Prompting: Guiding AI through complex reasoning.
• Frameworks: Mastering the "Role-Context-Task-Constraint" structure.
• Prompt Security: Preventing prompt injection and ensuring data privacy.

Module 3: Tools & Multimodal AI

• Text-to-Image & Beyond: Deep dive into Midjourney, DALL-E 3, and Stable Diffusion.
• Video & Audio Gen: Utilizing tools like Sora and ElevenLabs for content creation.
• Custom GPTs: Building and deploying your own specialized AI assistants.

Module 4: RAG & AI Integration (The Technical Edge)

• Retrieval-Augmented Generation (RAG): Connecting LLMs to your own private data.
• Vector Databases: Introduction to Pinecone and Weaviate for data storage.
• Introduction to LangChain: The basics of chaining AI tasks together.

Module 5: Agentic Workflows & Automation

• Autonomous Agents: Designing AI that can browse the web and use tools.
• No-Code AI Automation: Using Zapier or Make.com to integrate AI into daily workflows.
• AI in the Enterprise: Ethics, bias mitigation, and ROI analysis.

Duration: 40 Hours (Live Online / Hybrid)