Cloud GenAI Developer From LLM APIs to Production Ready RAG Applications (SF)
About This Course
This comprehensive 5-day course is tailored for professionals experienced in Python and Machine Learning, aiming to become proficient Generative AI developers using public cloud platforms. Participants explore foundational GenAI architectures, fine-tune and customize models, master embeddings and retrieval-augmented generation (RAG) systems, and employ advanced prompt engineering techniques. They will also gain insights into various AI services offered by major cloud providers. Practical labs include deploying GenAI models and developing interactive Streamlit web applications for consumer testing. The course concludes with revision, mini-assignments, and rigorous assessments, ensuring participants are fully prepared to build secure, scalable, enterprise-ready Generative AI solutions
What You'll Learn
LO2: Maintain model configurations & settings using developer tools and frameworks that accelerate development of gen AI applications
LO3: Troubleshoot performance issues encountered with the understanding of the limitations of model capabilities and performance
LO4: Describe and escalate issues encountered with AI tools integrating with concepts behind context augmentation for prompts (RAG)
LO5: Apply context augmentation using RAG with low-code, no-code application development and basic software troubleshooting steps
Entry Requirements
• The candidate should hold a diploma and have at least 2 years of experience working as a developer/programmer.
• Candidates who do not meet the above requirements will be assessed on case to case basis.