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Generative AI for Everyone

Duration

6 weeks

Degree /Certification

Technical Certification 

Price

100% Free

Delivery Method

100 % Online

Learn the basics of generative AI

You’ll delve into real-world applications and learn common use cases, and get hands-on time with generative AI tools to put your knowledge into action, and gain insight into AI’s impact on both business and society. This course was designed to ensure everyone can be a participant in our AI-powered future.

  • Duration: 6 weeks

    Level: Intermediate

    Total Time Commitment: 16 hours

    Format: Instructor-led live sessions

    Week 1: Introduction to Generative AI

    Learning Objectives:

    • Define generative AI and its core principles.

    • Understand its capabilities, limitations, and applications.

    Topics and Activities:

    What is Generative AI? 

    • Videos: Introduction, How Generative AI Works, Generative AI as a General-Purpose Technology

    • Quiz: Basics of Generative AI

    Generative AI Applications 

    • Videos: Writing, Reading, Chatting, and Image Generation

    • Quiz: Applications of Generative AI

    Practical Resources 

    • Readings: Week 1 Resources

    • Assignment: Intake Survey

     

    Week 2: Generative AI in Practice

    Learning Objectives:

    • Create use cases for generative AI.

    • Explore advanced techniques like retrieval-augmented generation (RAG).

    Topics and Activities:

    1. Software Applications 

      • Videos: Using Generative AI in Software, Generative AI Project Lifecycle

      • App Activity: Try Generative AI Code

      • Quiz: Software Applications

    2. Advanced Techniques 

      • Videos: RAG, Fine-Tuning, Pretraining LLMs

      • Quiz: Advanced Generative AI Techniques

    3. Practical Resources 

      • Readings: Week 2 Resources

      • Lab: Build a Use Case with Generative AI

     

    Week 3: Generative AI in Work and Society

    Learning Objectives:

    • Assess generative AI’s impact on industries.

    • Understand responsible and ethical AI practices.

    Topics and Activities:

    Generative AI and Business 

    • Videos: New Opportunities, Task Analysis, Automation Potential

    • Quiz: Business Impacts of Generative AI

    Generative AI and Society 

    • Videos: AI Concerns, Responsible AI, Artificial General Intelligence

    • Quiz: Ethical Considerations in AI

    Practical Resources 

    • Readings: Week 3 Resources

    • Assignment: Analyze AI Risks and Opportunities

     

    Week 4: Fine-Tuning and Optimization

    Learning Objectives:

    • Master fine-tuning techniques for large language models (LLMs).

    • Learn strategies for model evaluation and optimization.

    Topics and Activities:

    Fine-Tuning Techniques 

    • Videos: Instruction Tuning, Multi-Task Fine-Tuning, PEFT Techniques

    • Quiz: Optimizing LLMs

    Model Evaluation 

    • Videos: Evaluation Strategies, Scaling Laws, Deployment Insights

    • Lab: Fine-Tune a Generative AI Model

    Practical Resources 

    • Readings: Week 4 Resources and Lecture Notes

     

    Week 5: Advanced Applications and Responsible AI

    Learning Objectives:

    • Design advanced AI-powered applications.

    • Develop strategies for deploying AI responsibly.

    Topics and Activities:

    Advanced Applications 

    • Videos: Chain-of-Thought Reasoning, Program-Aided Language Models, ReAct

    • Quiz: Building LLM-Powered Applications

    Responsible AI 

    • Videos: Aligning Models with Human Values, Ethical AI Practices

    • Quiz: Responsible AI Deployment

    Practical Resources 

    • Readings: Week 5 Resources

    • Final Project: Design an AI-Driven Solution for a Real-World Problem

     

    Week 6: Capstone Project and Final Assessment

    Topics and Activities:

    Capstone Project:

    • Design a Generative AI Solution for a Practical Problem

    • Example: AI-Powered Content Creation Tool for Small Businesses

    Final Assessment:

    • Multiple-Choice Quiz Covering Key Topics

    • Submission of Final Project for Peer or Instructor Review

    • Generative AI Tools

    • AI Strategy for Work and Business

    • AI Strategy

    • How Generative AI Works

    • AI Productivity

    • AI Beyond Prompting

    • Foundational and practical knowledge of generative AI

    • Skills to apply generative AI in real-world scenarios

    • Insights into how businesses use AI for innovation

    • Certification to showcase your expertise in generative AI

    • A portfolio project demonstrating your applied learning

  • Generative AI for Everyone is for anyone who’s interested in learning about the uses, impacts, and underlying technologies of generative AI, today and in the future. It doesn’t require any coding skills or prior knowledge of AI.

     

    • For business leaders :Learn how generative AI can impact your business, and how to develop a generative AI strategy to increase productivity

    • For professionals :Ready to use AI at the workplace? This course offers you an overview of AI tools and techniques that you can apply in your work

    • For everyone :AI is a transformative technology that will impact everyone. Understanding how it works and how to use it puts you in the driver’s seat
       

  • The following grading scale will be used throughout the course. Please note that participation is mandatory.

    • Assessments: 40%

    • Participation: 20%

    • Final Assessment: 40%

  • The following grading scale will be used throughout the course. Please note that participation is mandatory.

    • Assessments: 40%

    • Participation: 20%

    • Final Assessment: 40%

Ready to get started?

Your first step is to apply to yam Education's AI For Everyone Program. It's easy and free to apply, so get started today!

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821 E Washington Ave Unit 200,

Madison, WI 5370

academics@yam-edu.com

608-301-5576 

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