HRDC Registration Number: 10001464294
Duration: 21 Hours (3 Days)
Course Overview
This hands-on workshop provides an in-depth exploration of Generative AI and Large Language Models (LLMs). Participants will learn foundational concepts, advanced techniques like Retrieval-Augmented Generation (RAG), and practical skills to customize, fine-tune, and deploy LLMs for real-world applications, delivering tangible business outcomes.
Who Should Attend
Industries:
- Information Technology
- Software Development
- Financial Services
- Healthcare
- E-commerce
- Telecommunications
Participants:
- Software Developers
- Engineers
- Technical Architects
- Solution Architects
- IT Professionals with programming experience
Why Choose This Course
This HRDC-claimable course (Reg. No: 10001464294) equips participants with advanced LLM knowledge and practical skills to design, deploy, and optimize AI-driven applications, addressing ethical considerations and data security.
Learning Outcomes
Participants will:
- Understand the architecture and training mechanisms of LLMs.
- Master prompt engineering for effective AI communication.
- Build, fine-tune, and deploy LLMs for custom applications.
- Implement advanced techniques like RAG for optimized AI outputs.
- Address ethical considerations, data security, and bias in AI applications.
- Apply LLMs in content creation, automation, and data analysis.
Prerequisites
- Knowledge of software programming (Python preferred).
- Familiarity with command-line tools on Windows, Mac, or Linux.
- Understanding of JSON and YAML for configuration.
Lab Setup
- Hardware: 64-bit CPU PC, 16GB RAM, 50GB free disk space.
- Software:
- Windows 11, Visual Studio Code, Node.js v20 LTS, Docker Desktop.
- Python v3.11, Jupyter Notebook, Postman.
Teaching Methodology
- Presentations and discussions for conceptual clarity.
- Hands-on labs for over 90% of the workshop duration.
- Interactive Q&A sessions and group exercises.
- Practical demos and real-world examples.
