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Course Outline
1. Introduction to Generative AI and Azure AI Studio
- Overview of Generative AI vs traditional Artificial Intelligence
- Azure AI Studio environment setup
- Build a basic chatbot using Azure Chat Playground
- HW 1a: Azure setup
- HW 1b: Build Azure chatbot
2. Roles, Functions, and Applications of LLMs and Prompts
- Understanding LLMs, tokens, and memory
- Prompt design principles
- No-code development in Azure AI Studio
- Hands-on LLM selection and tuning
- HW 2: Submit base chatbot with prompt design
3. Introduction to Retrieval-Augmented Generation (RAG)
- Embedded data in system prompts
- RAG fundamentals and Cognitive Search
- Compare static prompt vs dynamic RAG
- Build and test a RAG solution in Azure
- HW 3: Build RAG-based chatbot
4. Testing, Evaluation, and Deployment of AI Chatbots
- Deploy AI assistants as web apps
- Introduction to Prompt Flows
- Use of flows in Excel, websites, tools
- Build and deploy a Prompt Flow for SWOT analysis
- HW 4: Optimize chatbot and report changes
5. Advanced Chatbots and Agent Integration
- AI agents and their capabilities
- Task automation with APIs and tools
- Deploy Prompt Flow endpoints
- Test and consume chatbot in external applications
- HW 5: Identify AI use cases and tools
Instructor and Program Director
Instructor
Anthony Orzechowski
Director R&D Data Analytics
Tony instructs courses in Applied Analytics in several master's programs at the University of Wisconsin – Madison and Northwestern University. These course focus on providing students with the immediate ability to lead improvement and innovation in their careers through analytics.
Tony is the recently retired Director of R&D Data Analytics at Abbott Laboratories, where he oversaw a broad spectrum of analytics responsibilities, ranging from statistics, reliability and quality engineering to data management, advanced analytics, and business decision support.
In his role at Abbott, Tony’s organization supported the development of diagnostic products currently contributing over $4 billion in annual worldwide revenue. With nearly 40 years of industry experience, he has served in leadership roles in both the automotive supply and medical diagnostics sectors, where he also championed use of Lean and Six Sigma methods in operations and product development as a Master Black Belt.
In his new entrepreneurial venture, Tony leads Convergent Analytics, an analytics consulting firm. Here, his focus is on helping companies improve through the use data analytics and maximize these capabilities through generative AI. His efforts aim to equip the next generation of engineers, scientists and analysts with the tools and insights needed to solve the complex challenges that industries will face today and tomorrow.
Program Director
Erick Oberstar