Course Description

Master the transition from basic LLM prompting to building autonomous, production-ready AI systems. This course is led by an industry expert who has delivered over $80,000 in business revenue and 2 FTE efficiency gains through AI automation. You will learn to build the exact systems used in modern enterprises: from Agentic Research Assistants to Multimodal AI solutions.

Module 1: The Foundations of Modern LLMs

Evolution of AI: From CNNs and Deep Learning to Transformers.

The OpenAI Ecosystem: Utilizing GPT-4, DALL-E 3, and Vision Models.

Azure AI Services: Deploying models using Azure OpenAI and Cognitive Services.

Module 2: Advanced Prompting & Intent Recognition

Zero-Shot & Few-Shot Learning: Moving beyond simple instructions.

Structured Outputs: Using PydanticAI for accurate user intent prediction.

System Design: Building intelligent logic independently without external frameworks.

Module 3: Advanced RAG (Retrieval-Augmented Generation)

The Vector Stack: Managing embeddings with Postgres and PG-Vector.

Data Orchestration: Ingesting data from SharePoint and Salesforce (SFDC).

Graph RAG & Agentic RAG: Implementing advanced retrieval strategies for complex knowledge bases.

Module 4: Multi-Agent Systems & Orchestration

Agentic Frameworks: Hands-on with CrewAI, Autogen, and LangGraph.

Task Delegation: Assigning specific goals to agents for large-scale report generation.

Human-in-the-loop: Designing systems for audit and verification.

Module 5: Enterprise Integration & Deployment

Cloud Automation: Building workflows with Azure Functions and Logic Apps.

API Development: Deploying models as FastAPI and Flask services.

Multimodal Integration: Building assistants that handle image generation, transcription, and Bing search.

Module 6: Real-World Business Applications

Sales Intelligence: Automating client research and pipeline analysis.

DevOps AI: Generating code and synthetic test cases from Business Requirement Documents (BRDs).

Document Intelligence: Automating SOC vendor report analysis and data extraction.

Hands-On Projects (Directly from my Portfolio)

The Agentic Research Assistant: Build a system that crawls the web via Bing Search to generate 2,000-word structured reports.

Multimodal Teams Bot: Create an AI assistant integrated into Microsoft Teams for real-time business insights.

Automated Project Creator: Design an end-to-end flow that triggers from a Salesforce "Deal Won" event to create projects in Monday.com.

Who is this for?

Developers wanting to master Agentic frameworks like LangGraph.

Data Scientists aiming to move into AI Engineering and Cloud deployment.

Product Managers looking to understand the ROI and efficiency of GenAI.

About the Instructor

A Microsoft OpenAI Hackathon Winner and Manager-level Data Scientist with a proven track record of deploying high-impact AI solutions for global clients like Genpact and Cognizant.