Foundations of Artificial Intelligence

Part 1: Introduction to Artificial Intelligence

• History and Evolution of AI
  • Understanding AI
    • Key Concepts
    • Potential applications
    • Limitations of AI in the workplace
    • Practical applications and potential of AI
    • How AI differs from traditional computing
  • History of AI
    • The historical progression of AI
    • Key drivers behind the growth of AI
    • Current AI trends and technologies
  • Pieces of the AI Puzzle
    • Machine learning
    • Deep learning
    • Algorithms
    • Data processing
    • More?
  • Evolving State of AI
    • Why is AI evolving at such a rapid rate?
    • Artificial Narrow Intelligence (ANI) vs. Artificial General Intelligence (AGI)
    • Common myths and misconceptions
    • Measures of AI intelligence
    • Criteria for evaluating AI

Game Activity: Identify concepts; define terms; which enabled the other?

Part 2: Leveraging Artificial Intelligence

• The Agile Advantage
• Agile Mindset and AI
  • The connection between the agile mindset, values, and principles of AI
    • Agile Behavious and AI
      • Applying iterative development, continuous feedback, and collaboration to AI solutions
    • Cross-Functional Teams and AI
      • The cross-functional skills needed in a team focused on AI (e.g., prompt engineering, data literacy, data science, software engineering, ethics, domain-specific knowledge)
      • Evolving the cross-functional AI team
  • How a culture of learning, reflecting, and adapting enables AI success
• Prompt Engineering
  • Introduction to Prompt Engineering
    • The basics of effective AI Prompt Engineering
    • Recognizing well-crafted prompts that lead to useful, specific answers

Discussion: What Agile AI implementation would look like; Challenges in being Agile with AI

• Prompt Engineering
  • Techniques for crafting prompts that produce accurate, reliable, and unbiased results
    • Context is Key
      • The importance and impact of context in prompt engineering
      • Creating prompts based on clearly identified goals
  • Recognizing when to revise prompts based on the AI's results

Exercise: Use several prompting techniques with ChatGPT

Part 3: Artificial Intelligence in the Enterprise

• Bringing AI to the Organization
  • Business Value of AI
    • How AI can be used to create competitive advantages, optimize operations, and enhance customer engagement
    • Making strategic decisions about investing in, developing, or implementing AI solutions based on AI's business value
    • How AI supports and complements the skills and creativity of humans
  • AI Maturity
    • The qualities and levels of AI maturity
    • Adapting company culture, processes, and technology for AI inititiatives
  • Plan Your Path Forward
    • What steps can you take to use AI right away?
    • What will you plan to do in the next few months?
    • What will take longer to achieve, but would be worth it?

All professionals would benefit from this training. There is no need for a technical background or any knowledge of AI to complete this course.

After completing this course, you will be able to:

• Discuss how AI has evolved to its current state
• Name and use key AI-related terminology
• Use AI as it continues to evolve
• Describe the ethical issues that AI can present, and mitigate those issues
• Use Agility in your AI initiatives
• Develop your ability to prompt Generative AI tools
• Use AI to deliver business value and support business strategy