New New

Building AI Chatbots Without Code From Idea to Launch

In this course, participants explore the full lifecycle of chatbot creation—from design and development to deployment—without needing a programming background. Learners use cutting-edge tools like Azure AI to build real-world solutions and enhance chatbot performance with techniques like retrieval-augmented generation (RAG). Sessions are interactive, practical, and aligned with real industry applications.

Learning Outcomes:

Upon completion of this course, students will be able to:

Design and develop a fully functional Generative AI-based RAG chatbot application that can be personalized to the user.
Implement and optimize Retrieval-Augmented Generation (RAG) to enhance chatbot responses.
Integrate memory management systems to improve context retention in chatbot interactions.
Utilize agents to perform specialized tasks within the chatbot framework.
Demonstrate the ability to deploy, test, and maintain chatbot applications in a production environment.

Who Should Attend:

Professional Engineers and Technical Managers

Industry sectors: Manufacturing, automation, aerospace, automotive, healthcare devices, telecom, energy.
Why they care: They’re looking for practical ways to integrate generative AI into engineering workflows, product development, and support systems without having to build from scratch.

Software and Systems Engineers

Especially those with limited AI/ML background who need to start applying AI capabilities in product environments.
Interested in using no-code or low-code tools to accelerate prototyping of internal tools, intelligent assistants, and support automation.

R&D Professionals / Innovation Teams

People experimenting with AI-powered solutions to augment internal knowledge bases or create intelligent documentation/chatbots.
Early adopters of LLMs who need a solid structured entry point that goes beyond ChatGPT.

Data Analysts and Process Improvement Specialists

Especially those familiar with business process automation or Six Sigma/Lean methods.
Can leverage LLMs and RAG to reduce data retrieval time and improve decision-making tools.

Course Details: RA00091-D974

Course Outline

Module	Key Topics & Activities	Assignments
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

Course Schedule

Registration Date/Time:
1/20/2026 4:30pm Central Time

Event Dates/Times:

1/20/2026 5:00pm - 6:00pm Central Time
1/21/2026 5:00pm - 6:00pm Central Time
1/22/2026 5:00pm - 6:00pm Central Time
1/23/2026 5:00pm - 6:00pm Central Time
1/27/2026 5:00pm - 6:00pm Central Time
1/28/2026 5:00pm - 6:00pm Central Time
1/29/2026 5:00pm - 6:00pm Central Time
1/30/2026 5:00pm - 6:00pm Central Time
2/3/2026 5:00pm - 6:00pm Central Time
2/4/2026 5:00pm - 6:00pm Central Time
2/5/2026 5:00pm - 6:00pm Central Time
2/6/2026 5:00pm - 6:00pm Central Time
2/10/2026 5:00pm - 6:00pm Central Time
2/11/2026 5:00pm - 6:00pm Central Time
2/12/2026 5:00pm - 6:00pm Central Time
2/13/2026 5:00pm - 6:00pm Central Time
2/17/2026 5:00pm - 6:00pm Central Time

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

Additional Information

The course will utilize Microsoft Azure infrastructure for activities.

Total Credits:

CEU 2,

PDH 20,

Course Administration

Fee Information

Fee covers morning and afternoon breaks, scheduled lunches, course materials.

Discounts

Team Discount. Receive 20% off the registration fee per person when 3 or more people from the same organization enroll. Team affiliation will be confirmed during the registration process.

Payment Options

If you are planning to attend an Interdisciplinary Professional Programs course, payment is required at the time of registration. Below are the payment options:

Pay by Credit Card

Enroll online and pay by credit card.

Search for the course on the website and then click on the Enroll Now button from the course webpage.
Enter all necessary course attendee information and payment information on the course enrollment page.
You will receive an email to confirm successful enrollment and payment.

Enroll over the phone and pay by credit card.

Call CERC Registrations at 608-262-2451.
Provide the registrations representative with:
- the course name, dates, and/or course number.
- the necessary course attendee information and payment information.
You will receive either a mailed document or an email to confirm successful enrollment payment.

Pay by Check

Mail in a completed registration form and check payable to UW Madison.

Fill out a registration form (found either in the back of the course brochure you received in the mail or here).
Prepare a check, made payable to UW Madison.
Mail the registration form and check to: CERC Registrations 21 N Park St, Ste 7101 Madison, WI 53715
You will receive either a mailed document or an email to confirm successful enrollment and payment.

Pay by Purchase Order

Request Purchase Order information from interpro@union.wisc.edu
- If a fee quote is needed, contact custserv@interpro.wisc.edu first
You will receive an invoice from UW–Madison Business Services for payment, usually within 3–5 business days

Military

If using SF-182 form, please call our registration number at 608-262-2451 or email interpro@union.wisc.edu for details and instructions.

Event Cancellation

We reserve the right to cancel a course due to insufficient enrollment or unforeseen events. If we cancel a course, participants will be notified via email or phone and will be given the option for a full refund or to transfer their registration and any fees paid to another course. We are not responsible for non-refundable plane tickets, hotel reservations, and other travel related expenses. For enrollee Course Cancellation, refer to notes on course page.

Cancellation Policy

If you cannot attend, please notify us no later than one week before your course begins, and we will refund your fee. Cancellations received after this date and no-shows are subject to a $150 administrative fee. You may enroll a substitute at any time before the course starts.

No past courses found for this program.

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We can deliver this course as an on-site learning experience tailored to your organization’s specific training needs.