2 Day AI Implementation Workshop
AI Business Models for Product Managers
Workshop Details
Its intended audience is a non-technical one (non-engineers), who prefer learning through a series of case studies, success stories and interactive discussions.
We will explore four key implementation models of AI across various industries, along with practical insights and strategies for successful AI adoption.
Learn the business models of:
- Building commercially viable AI
- Production-Ready RAG Systems
- Structured Output Generation for Business Goals
- Conversational Memory in AI Agents
- AI-Powered Search Engines
Language
English
Date
26th and 27th June, 2025
Time
1800 to 2030 (GMT+7) on both days
Medium
Zoom Conferencing (Online)
Intended Audience
Business leaders, product managers, and decision-makers interested in understanding AI implementation models and their applications in various industries.
Instructor
Samuel Chan, AI Engineer and co-founder of Supertype.ai, Algorit.ma, Sectors.app and HyperGrowth (sold).
Syllabus
A case-study driven workshop that helps business leaders and product managers understand the different business models of commercializing AI and Generative AI. Developed and taught by Supertype from years of building high-performance AI systems that are commercially viable and used by tens of thousands of users.
Designed for executives and product managers looking for a case study driven, code-light workshop.
Include in your learning experience:
Course Materials
Video Recordings
Graded Certificate
API Credits
Discord Support
Hands-on Workshops
Building Commercially Viable AI
Learn how to build AI products that are not only technically sound but also commercially valuable. Understand the (1) Value Chain of AI, (2) Business Value Creation and (3) Ethical and Privacy Considerations in AI Development.
Production-Ready RAG Systems
Learn how companies build production-ready systems that are much more than just a LLM-wrapper, capable of interacting with their business systems and APIs securely and compliantly.
Structured Output Generation for Business Goals
Learn how to design AI systems that generate structured, tabular, semantically sound outputs from unstructured sources such as text, images and PDF scans -- a key source of business value in AI.
Conversational Memory in AI Agents
Monetize and commercialize your AI agents by implementing memory and persistence in your AI systems. See implementation models that emphasize on personalized and context-aware interactions with users.
AI-Powered Search Engines
Behind-the-scenes of Sectors Search, Indonesia's unofficial financial search engine capable of natural language query and intelligent actions
Bundled Learning Experience
Two Days Workshop (2 Day, Practicum)
A thorough discussion on the four models as described in Curriculum, and includes plenty of hands-on demonstration sessions that further solidify the concepts covered in the workshop.
Across the two days (5 hours in total), you will be challenged to build a commercially viable AI product by putting into practice what you learn from the workshop. You will gain direct, hands-on learning experience in building sound business models around your AI offerings. Additionally, you will be given access to:
- Everything in Curriculum with live coding sessions, plus:
- All the code and data used in the workshop
- 3,000 credits of Sectors Financial API for personal and commercial use
- Post-workshop peer-to-peer support on Discord
- High-resolution video recording of the workshop
- Graded certificate of completion
Your Instructor
Samuel Chan
I am a 3-time software entrepreneur (currently Sectors, Algoritma and Supertype, with 1 successful exit). Between 2013 and 2017, I have built and sold a company that operates in the space of chatbots, natural language AI and marketing automation whilst living between Beijing, Tokyo and my home town Singapore.
I am also a prolific contributor on GitHub, with many open source tools, libraries, and open courses on Large Language Model and Computer Vision.
- Prolific software entrepreneur (Audience Kit, HyperGrowth, Growth Bot, Sectors Financial Data Suite) over 2 decades while living and working in Singapore, Beijing, Tokyo and Jakarta.
- First in Southeast Asia to receive certification in Microsoft Data Science professional program (2014) and certification in MongoDB (2014). Also recipient of Graph Analytics for Big Data from UC San Diego, Machine Learning by Stanford (2016). First recipient in Asia for RStudio's certification program.
- Accredited instructor (NTUC Singapore, IBF Singapore) and guest lecturer in various institutions including University of Indonesia, Institute of Technology Bandung, Ngee Ann Polytechnic and Singapore Institute of Technology
- In-house consultant to SEGA-backed goGame, publisher of Disney Crossy Road, Big Hero 6, Adaro (IDX: ADRO) group of companies and ex-employment at DNP Group (TYO:7912), Gumi (TYO:3903), DianDian FunPlus (600634.SH), year-long consulting at Beijing, Tokyo between 2011 and 2016.
- Contributor to various publications including the Logistics Institute by NUS (National University of Singapore)
Experienced LLM Instructor & Educator
Taught AI Development to over 13,000 students since 2020 and an active contributor to LLM tooling and open source work.
> 250,000
YouTube Views on LLM Generative AI Series (youtube.com/samuelchan)
870 Stars
on LLM education series: GitHub (@onlyphantom/llm-python)
40+
Open source scripts and LLM tooling resources on GitHub (@onlyphantom)
> 2.1 million
People reached on my StackOverflow (@onlyphantom) account
115 Badges
Recognized contributor on AI topics, Python and R on StackOverflow
18+ Years
Of software engineering, enterprise analytics & AI engineering experience
Kevin Sanjoto, CEO-Founder of Pegipegi and 3 AI startups“I took your AI Search Engine course a while ago and really enjoyed it.
The course was incredibly insightful and full of practical knowledge for engineering AI products in the real world. I also love the way you teach, very engaging, structured, and intentional.Kevin reached out to us after the workshop, and we hit it off right away. We're thrilled that Kev is now a trusted advisor at Supertype.
Saya merasa senang karena memperoleh ilmu baru, khususnya terkait data analytics.
Overall, kelasnya menarik dan sangat interaktif. Panitia yang terlibat juga aktif dan solutif. Terima kasih Supertype atas kesempatannya 🥳🙌
Yogha Hari Purnomo
Financial Analytics in Google Sheets, Looker BI, and Microsoft Excel
I am still getting used to using chatgpt, but yesterday's course was fantastic. I used to think financial services were just statistics, but it turns out they can be used as storytelling with the help of LLM. I appreciate the exceptional training and the time you invested.
Sabrina Nurindra Putri
Generative AI for Finance and Investing
💡 This workshop truly opened up a new perspective on how AI can elevate search to the next level! 🚀 Thanks to Mr. Samuel Chan, Supertype for such an insightful session!
Noer Barrihadianto
Building Search Engines in the era of AI
Apologies for reaching out this late in the evening, but I was really engrossed in the workshop session earlier. Great job on the presentation 👋! I gained a lot of valuable insights, both technical (like using LangChain) and non-technical (such as stock market insights). Thank youfor the informative session. Can't wait for future sessions 👋
Andi Alifsyah Dyasham
Generative AI for Finance and Investing
We built an AI-powered Search Engine
Sectors AI Search, Indonesia's financial search engine
We've built a search engine that indexes the entire IDX (Indonesian Stock Exchange) and provides real-time, accurate search results for all public companies in Indonesia with first-class support for natural language queries, keyword search and Agentic AI.
The search engine is powered by the latest in generative AI and Retrieval Augmented Generation (RAG) models.
Taught by Industry Experts
Companies are racing against time to build better information-retrieval systems that can help them make mission-critical decisions faster and more accurately. Being the technology partner for some of the largest institutions in the region, Supertype is at the forefront of these developments and is excited to be organizing a live, in-person online workshop on AI engineering.
Last Updated on July 2025
Tired of outdated tutorials in the fast-moving landscape of AI? Us, too. This workshop is constantly updated in an ongoing Github Repository by the course author, and uses the latest version of all libraries (crucially LangChain and LangGraph). It teaches you all the skills required to build intelligent conversational AI Agents, using the same toolkit that we deploy for our clients at Supertype.
Workshop has Ended
Print and digital publications on Enterprise AI, including e-books and whitepapers from Supertype's team of experts. These are print-friendly and can be downloaded for offline reading. Latest publications include:
- Agentic Patterns
- Building Search Engines in the Age of AI
Supertype Notes is a collection of field notes, technical essays and article series on enterprise analytics, machine learning, and data science. We welcome contributions from practitioners working on real-world analytics and AI systems.
Featuring field notes that cover a diverse range of topics including data engineering, cloud infrastructure, machine learning and enterprise analytics.
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