Time
2:00–4:00 PM ET
Doors open 15 minutes early
Free AI Event
AI: From Theory to Real World
Explore how AI concepts become practical applications through real-world examples.
NOVEMBER
21
SATURDAY
2026
Location
Boston Public Library
Mezzanine Conference Room 2 · 700 Boylston Street, Boston
Audience
University Students
No AI experience required
Format
In-Person Presentation
Includes an interactive Q&A
Limited seating. Reserve your place in advance.
From Concepts to Working AI
See how AI concepts become real-world solutions.
Artificial intelligence is often introduced through algorithms, models, and technical terminology. But understanding AI also means understanding how those ideas become useful, reliable, and responsible systems.
This event connects foundational AI concepts with practical applications. We will examine how an AI project moves from an initial idea through experimentation and into a real product or workflow.
Attendees will leave with a clearer understanding of modern AI, how it is used in professional environments, and which skills they can begin developing next.
Who Should Attend
For university students interested in AI and its real-world applications.
Computer Science Students
Students who want to connect AI concepts from the classroom with practical software systems and real-world applications.
Engineering and Data Students
Students studying engineering, data science, mathematics, or related technical subjects who want to explore modern AI.
Students Exploring AI Careers
Students considering careers in artificial intelligence, machine learning, software engineering, or technology.
Students New to AI
Curious university students from any major who want an understandable introduction to AI. No prior AI experience is required.
Event Agenda
Explore AI fundamentals, real-world applications, and career opportunities
Opening
AI Beyond the Headlines
A clear introduction to what modern AI can do, where it is being used, and why understanding both its capabilities and limitations matters.
- 01
What we mean by artificial intelligence today
- 02
Where AI is already creating practical value
- 03
Common misconceptions about modern AI
Part One
The Theory Behind AI
An accessible explanation of the foundational ideas that power modern intelligent systems.
- 04
How machine-learning systems learn from data
- 05
The role of neural networks and model training
- 06
How generative AI and large language models work
Part Two
AI in the Real World
A practical look at how AI ideas are transformed into reliable systems, workflows, and products.
- 07
Examples of AI in software and business workflows
- 08
Moving from experimentation to production
- 09
Evaluation, security, reliability, and responsible use
Closing
Career Guidance and Q&A
An interactive conversation about learning AI, building practical experience, and preparing for AI-related opportunities.
- 10
Skills students can begin developing now
- 11
Suggested projects and learning directions
- 12
Audience questions and open discussion
The agenda may be adjusted slightly to support audience questions and discussion.
Meet the Speakers
Learn how AI concepts are applied in production.
Founder of Codeliq
Rufat Isayev
Rufat is an AI and software engineer with more than 14 years of experience building full-stack, cloud, and intelligent systems. He is pursuing a Master's degree in Computer Science with an AI focus at Boston University.
Frequently Asked Questions
Everything you need to know before joining.
No. The event is designed to be accessible to beginners while still providing useful context for computer science, engineering, and technology students.
Free AI Event
Reserve Your Seat
Join us for a practical introduction to the ideas, tools, and real-world applications shaping modern AI.