Programs

AI Tutorial Series 2026 ✨

The Myanmar American Science & Technology Alumni Association (MASTAA) continues its Online AI Tutorial Series in 2026, offering progressive learning opportunities in Generative AI and Agentic AI.

“AI is transforming the world - not by replacing humans, but by empowering them. Generative AI takes this even further by enabling machines to create - turning imagination into reality. Chatbots, as the voice of AI, are changing how we learn, work, and connect - making support, knowledge, and creativity more accessible than ever.”
Dr Tun Aung Gyaw, Honorary Advisory Committee Member

📚 Two-Course Series

⏱️ 3 Hours per Course

👨‍🏫 Led by Dr Tun Aung Gyaw

📜 Certificate of Completion

CURRENT PROGRAM

Batch Two: September - October

Course Outline

Schedule: Saturdays – September 12, 19, 26, 2026.

Time: 7:00 PM PST.

Certificate of Completion: Digital certificate for participants with minimum 80% attendance.

Registration: August 25 – September 8 (Each level requires separate registration.)

Capacity: 40

Registration: Click Here

Objective
Refresh AI knowledge and explore recent developments, tools, and practical applications.

Who Should Attend?
Anyone with little or basic knowledge of AI. No technical background is required.

Topics Covered 

  1. AI Chatbots at a Glance
  2. Latest AI Developments
  3. Major AI Tools
  4. Features & Practical Uses
  5. Practical Demonstrations
  6. LLM Applications
  7. Generative AI Applications

Learning Outcomes

By the end of Level 1, participants will be able to:

  1. Describe the current AI landscape and major categories of AI tools.
  2. Identify key capabilities and differences among major AI chatbots and platforms.
  3. Select appropriate AI tools for different tasks and use cases.
  4. Apply AI chatbots to common personal, educational, and professional tasks.
  5. Recognize practical applications of LLMs and Generative AI.
  6. Understand recent developments and emerging capabilities in AI.
  7. Gain a foundation for exploring more advanced AI applications.

Schedule: Saturdays – October 10, 17, 24, 2026.

Time: 7:00 PM PST.

Certificate of Completion: Digital certificate for participants with minimum 80% attendance.

Registration: September 27 – October 6 (Each level requires separate registration.)

Capacity: 40

Registration: Click Here

Course Outline

Objective
Explore AI beyond basic chatbot use through advanced tools, techniques, and applications.

Who Should Attend?
Anyone with basic familiarity with AI chatbots and Generative AI. Level 1 is recommended but not required.

Topics Covered

  1. Advanced AI Capabilities
  2. AI-Powered Workflows
  3. AI Agents & Automation
  4. Knowledge & Information Retrieval
  5. Advanced Generative AI
  6. Building with AI
  7. Practical Applcations

Learning Outcomes

By the end of Level 2, participants will be able to:

  1. Explain how advanced AI applications differ from conventional chatbot interactions.
  2. Use advanced AI tools for more complex tasks and workflows.
  3. Work with AI using personal documents and other knowledge sources.
  4. Apply AI-assisted techniques for creative and technical tasks.
  5. Understand the basic concepts behind RAG, AI agents, and AI-assisted coding.
  6. Identify opportunities to integrate AI into existing workflows and processes.
  7. Experiment with emerging AI technologies and evaluate their practical value.
  8. Develop a foundation for further exploration of advanced AI applications.

Enroll for free

Registration starts Aug 25
COMPLETED PROGRAM

Batch One: February - March

Course Outline

Schedule: Saturdays – February 14, 21, 28, 2026.

Time: 7:00 PM PST.

Prerequisites: Nil. Ideal for learners curious about AI.

Certificate of Completion: Digital certificate for participants with minimum 80% attendance.

Registration: January 19 – February 7 (Each level requires separate registration.)

Capacity: 40

Registration: Click Here

Objective
To introduce participants to the foundational concepts of Artificial Intelligence, Generative AI, and Chatbots.

Topics Covered 

  1. Definition of Artificial Intelligence (AI)
  2. Types of AI
  3. Key AI Technologies
  4. Common Applications
  5. Generative AI Basics
  6. Chat GPT and AI Tools
  7. Image Creation Tools
  8. Claude, Perplexity, Gemini, Grok … etc.

Learning Outcomes

  1. Understand core AI concepts and types
  2. Identify real-world uses of AI and chatbots
  3. Recognize the value of generative technologies

Schedule: Saturdays – March 14, 21, 28, 2026.

Time: 7:00 PM PST.

Prerequisites: Completion of Level 1 or basic familiarity with AI tools.

Certificate of Completion: Digital certificate for participants with minimum 80% attendance.

Registration: March 3 – March 10 (Each level requires separate registration.)

Capacity: 40

Registration: Click Here

Course Outline

Objective
To showcase practical applications and deepen engagement.

Topics Covered

  1. NotebookLM
  2. Nano Banana
  3. Vibe Coding
  4. Language Graph
  5. RAG

Learning Outcomes

  1. Analyze how different generative AI tools and techniques work together in real-world scenarios.
  2. Evaluate appropriate AI tools for specific tasks and use cases.
  3. Apply generative AI tools more effectively to solve practical problems and improve workflows.

Questions?

Contact us at info@mastaa.org.

Enroll for free

Registration starts Jan 19

AI Tutorial Program 2025 – From Basics to the AI Landscape

Generative AI & Chatbots

We are delighted to announce that the Myanmar American Science & Technology Alumni Association (MASTAA) will launch a special Online Course Series on Generative AI & Chatbots – a unique opportunity to explore one of the most transformative technologies of our time.

This three-level program is designed to take you from foundational knowledge to the evolving AI landscape:

Level 1: Introductory – Awakening Curiosity
             To inspire newcomers and build a foundational understanding.

Level 2: Intermediate – Empowering Action
              To showcase practical applications and deepen engagement.

Level 3: Advanced: Inspiring Vision
             To challenge and inspire forward-thinking innovation.

  • Each level: 1 hour/week for 3 weeks
  • Period
    • Level 1: Saturdays – September    13, 20, 27, 2025
    • Level 2: Saturdays – October         11, 18, 25, 2025
    • Level 3: Saturdays – November       8, 15, 22, 2025
  • Time: 7 PM – 8 PM New York Time
  • 100% online with live interactive sessions
  • Level 1: No prior AI experience required. Ideal for learners curious about AI.
  • Level 2: Completion of Level 1 or basic familiarity with AI tools.
  • Level 3: Completion of Level 2 or familiarity with AI tools.

Participants with minimum 80% attendance will receive a digital Certificate of Completion from MASTAA.

Free of Charge

The course will be led by Dr. Tun Aung Gyaw, a distinguished alumnus of Rangoon Institute of Technology.

  • MSc (Computer Science) – Yangon University, 1975
  • Former System Manager and Associate Professor – UCC, 1975 – 1988
  • PhD – University of Illinois at Urbana-Champaign, 1997
  • Renowned researcher in Deep Learning and Computer Vision
  • Level 1 – Introductory Registration: August 26 – September 9
  • Level 2 – Intermediate: Registration: September 30 – October 7
  • Level 3 – Advanced Registration: October 28 – November 4
  • Separate registration is required for each level
  • Capacity: 40 participants per level to ensure interactive learning
  • Secure your spot here: Registration link

    Don’t miss this opportunity to expand your knowledge and prepare for the AI-driven future.

Questions?

Contact U Soe Myint, alumnus and former Lecturer of UCC
Phone: (718) 314-7888
email: info@mastaa.org

Course Outline

Objective
To introduce participants to the foundational concepts of Artificial Intelligence, Generative AI, and Chatbots.

Topics Covered

  1. Definition of Artificial Intelligence (AI)
  2. Types of AI: Narrow, General, and Super AI
  3. Key AI Technologies: ML, DL, NLP, Computer Vision, Robotics
  4. Common Applications: Virtual Assistants, Healthcare, Recommendations
  5. Generative AI Basics and Popular Tools (ChatGPT, DALL·E, MusicLM)
  6. Introduction to Chatbots and Their Use Cases

Learning Outcomes

  1. Understand core AI concepts and types
  2. Identify real-world uses of AI and chatbots
  3. Recognize the value of generative technologies

Objective
To explore popular AI platforms, generative tools, and their practical capabilities.

Topics Covered

  1. Overview of Modern AI Platforms: Base44, Gemini, Grok, OpenAI, Perplexity, Replit
  2. Comparison of tools: use-cases and strengths
  3.  When to use what platform

Learning Outcomes

  1. Differentiate between AI platforms
  2. Match tools with specific needs
  3. Apply tools in planning, writing, research, or development

Objective
To discuss current trends, active research, and the evolving AI landscape, including risks and innovation.

Topics Covered

  1. Who is Driving AI Innovation? (OpenAI, Google, xAI, Meta, etc.)
  2. Emerging Trends: Multimodal AI, Open Source, Agentic AI, etc.
  3. Visionary Concepts: AGI, ASI, Human–AI Collaboration, RAG

Learning Outcomes

  1. Forecast near-future AI trends
  2. Discuss ethical, regulatory, and societal concerns
  3. Imagine future careers and innovations involving AI
  1. AI Tools Reference Groups (1–5): Voice, Video, Avatar, Search, Code
  2. Websites:

Course Registration

Click Here