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Advanced Generative AI & Prompt Engineering
Deep dive into advanced LLMs, fine-tuning, custom prompt frameworks, and enterprise-grade generative AI systems.
What You’ll Learn
- •State-of-the-art LLM architectures
- •Efficient fine-tuning (LoRA, QLoRA)
- •Advanced prompt engineering frameworks
- •Building autonomous AI agents
- •Multimodal model integration
- •Production-grade GenAI deployment
Curriculum
- •Mixture-of-Experts
- •Sparse & Efficient Transformers
- •Latest Open Models
- •Scaling Laws
- •Full vs PEFT Fine-tuning
- •LoRA/QLoRA Mastery
- •Instruction Tuning
- •RLHF Basics
- •Tree-of-Thoughts
- •ReAct & Tool Use
- •Self-Consistency
- •Automatic Prompt Optimization
- •AI Agents Architecture
- •Tool Integration
- •Memory & Planning
- •Multi-Agent Systems
- •Vision-Language Models
- •Video Generation
- •Inference Optimization
- •Deployment (vLLM, TGI, Triton)
- •Enterprise-grade GenAI Solution
- •System Design
- •Production Deployment
- •Final Presentation
Instructor

Miss. Shagun
Lead Instructor – Advanced GenAI
Master in AI | Former Lead AI Researcher | Expert in LLMs & Prompt Engineering
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