This 8-week weekend intensive is designed to take participants from AI/ML fundamentals through to building, securing, and deploying production-grade Agentic AI systems. Each session follows a structured 2-hour format: the first hour focuses on theory, architecture, and concepts, while the second hour is dedicated to guided hands-on lab work. Topics build on each other deliberately — foundational ML and GenAI knowledge in Weeks 1–2 unlocks the document processing and RAG work in Week 3, which in turn powers the Agentic AI systems built in Week 4. Developer tooling, DevSecOps, and observability in Weeks 5–7 prepare participants for the capstone in Week 8.

This course is designed to help you learn the fundamentals of Generative AI and its associated techniques, like Large Language Models (LLM), Deep Learning, Neural Networks, Retrieval Augmented Generation (RAG), and Prompt Engineering. Through hands-on exercises, you’ll gain experience testing an application locally and deploying it on the cloud. The course is aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods. After the training, the candidates will be prepared to pass the exams, for the following certifications:
• AWS Certified AI Practitioner
• Microsoft Certified: Azure AI Fundamentals
• Microsoft Career Essentials in Generative AI Certification
• Securiti.ai: AI Security and Governance Certification
• Oracle AI Foundations Associate Certification
• Databricks Generative AI Fundamental Certification
•Dell Gen AI Fundamentals