Advanced Generative AI Course
Master LLMs, Prompt Engineering, RAG, AI Agents, Fine-Tuning, automation systems and real-world Generative AI projects.
Course Overview
Learn how modern Generative AI systems are built, optimized and deployed in business environments.
🧠 LLM Mastery
Understand LLMs, tokens, context windows, embeddings and workflows.
🔗 RAG & Agents
Build AI systems with retrieval pipelines and autonomous agents.
🚀 Deployment
Launch production-ready AI apps for clients and businesses.
Pre-Requisites
Recommended before joining this advanced course.
Course Syllabus
Detailed 3 Months roadmap inspired by current industry topics.
Month 1 — Core GenAI
Week 1: GenAI Foundations
- ✔ AI vs ML vs GenAI
- ✔ LLM Basics
- ✔ Real Use Cases
Week 2: Prompt Engineering
- ✔ Prompt Patterns
- ✔ Structured Prompts
- ✔ Better Outputs
Week 3: Productivity AI
- ✔ Content Creation
- ✔ Reports & Docs
- ✔ Automation Workflows
Week 4: Multimodal AI
- ✔ Text to Image
- ✔ AI Video Tools
- ✔ Voice Tools
Month 2 — Build Systems
Week 5: Embeddings
- ✔ Semantic Search
- ✔ Vector Concepts
- ✔ Similarity Search
Week 6: RAG Systems
- ✔ Knowledge Chatbots
- ✔ Document AI
- ✔ Reduce Hallucinations
Week 7: AI Agents
- ✔ Tool Calling
- ✔ Multi-Step Tasks
- ✔ Agent Workflows
Week 8: Fine-Tuning Intro
- ✔ Custom Responses
- ✔ LoRA Concepts
- ✔ Dataset Prep
Month 3 — Career & Deployment
Week 9: AI Automation
- ✔ n8n / Zapier
- ✔ Business Workflows
Week 10: Real Projects
- ✔ AI Chatbot
- ✔ AI Writer
- ✔ Lead Generator
Week 11: AI Safety
- ✔ Bias & Ethics
- ✔ Prompt Security
- ✔ Governance
Week 12: Career Launch
- ✔ Portfolio
- ✔ Freelancing
- ✔ Interview Prep
Tools Covered
Become a Generative AI Expert
Learn future-ready AI skills and build real projects in 3 months.
Apply Now