- Duration: 1 Month
- Schedule: Saturdays & Sundays (3 hours per day)
- Total Hours: 24 Hours
16. Attention Mechanism And Transformers:
- Components of Transformers
- Architectures
- Applications
17. LLM and Prompt Engineering
- Intro of LLM and Deploy LLM with Cloud
- Applications and examples of LLM
- What is Prompt engineering
- Prompt improvement strategies and techniques
18. Retrieval Augmented Generation(RAG):
- Vector DB and Vector Store
- Semantic similarity vector Search
- Chunking Strategies
19. Capstone Project.
You'll be presented with a real-time industry scenario and accompanying datasets. Your task will be to develop a comprehensive solution, adhering to professional standards in architecture design, data pipelines, coding best practices, and culminating in a demonstrable project for evaluation.
8. Mock Interviews.
You'll be interviewed by experienced Machine Learning practitioners.
9. Brainstorming session with AI Leaders
Strategic Dialogue with AI Visionaries.