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AI+ Foundation™

Foundational AI Knowledge: Gain a strong foundation in AI, ethics, and real-world applications, equipping you with essential AI knowledge. Practical Application of AI: Learn how...
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  • AI Fundamentals & Prompt Engineering
  • Deployment of AI Models
  • AI Ethics & Governance
  • AI-Driven Automation
  • Integration of AI Strategies
  • Business Professionals: Learn how AI is reshaping industries and discover AI-driven business strategies to stay competitive in a technology-driven market.
  • AI Enthusiasts: Gain foundational knowledge in AI, prompt engineering, and real-world applications, preparing you for a deeper understanding of AI’s potential.
  • Technology Leaders: Equip yourself with essential AI skills and insights on how to leverage AI tools and models effectively to drive innovation in your organization.
  • Ethics Professionals: Explore the ethical considerations of AI, including fairness, transparency, and privacy, ensuring responsible AI adoption in any industry.
  • Students & New Graduates: Build a competitive resume by mastering AI basics and ethical practices, preparing for a future career in the rapidly growing AI field.
  • Basic familiarity with using technology.
  • Curiosity about AI applications in different industries.
  • Interest in ethical considerations related to AI’s impact on society.

Duration

90 minutes

Passing Score

70% (35/50)

Format

50 multiple-choice/multiple-response questions

Delivery Method

Online via proctored exam platform (flexible scheduling)

  1. 1.1 Understanding AI
  2. 1.2 AI in Everyday Life
  3. 1.3 Introduction to Machine Learning
  4. 1.4 Use-Case, Case Study, and Hands On Activity

  1. 2.1 Defining Prompt Engineering and its Importance
  2. 2.2 Enhancement through Well-Crafted Prompts
  3. 2.3 Exploring GPT-4
  4. 2.4 Use-Case, Case Study, and Hands On Activity

  1. 3.1 Crafting AI Strategies
  2. 3.2 Key AI Tools for Business
  3. 3.3 Power of GAN AI
  4. 3.4 Use-Case, Case Study, and Hands On Activity

  1. 4.1 Overview of Ethical Considerations in AI
  2. 4.2 Data Collection and Bias consequences
  3. 4.3 Bias Impact on Decision-Making
  4. 4.4 Use-Case, Case Study, and Hands On Activity

  1. 5.1 AI’s Role in Addressing Global Challenges
  2. 5.2 How AI is Reshaping Industries and the Nature of Work
  3. 5.3 Job Displacement vs. Job Creation
  4. 5.4 Skills of the Future
  5. 5.5 Use-Case, Case Study, and Hands On Activity

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