- DIGITAL COURSE
AI+ Foundation
Price: Free Until July 31
Duration: 4 Hours
Certification: AI+ Foundation
Access: 90 Days
Why This Certification Matters
- 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 to effectively interact with AI models and apply AI tools to real-world challenges.
- Ethical AI Adoption: Understand the ethical considerations of AI, including fairness, transparency, and privacy.
- Increased Competitiveness: Learn prompt engineering and AI tools to enhance innovation in your work.
- Real-World Insights: Explore how AI is reshaping industries and gain valuable insights into its practical applications.
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Course Overview and Modules
Prerequisites
- Basic familiarity with using technology.
- Curiosity about AI applications in different industries
- Interest in ethical considerations related to AI’s impact on society
Target Learners:
Anyone with essential AI literacy entry-level knowledge needs –
Students and New Graduates | Ethics and Compliance Officers | Business Professionals Technology Leaders | Government & Non-Profit Leaders
Exam Blueprint
- Introduction to AI & Its Impact – 20%
- Prompt Engineering – Interacting with AI – 20%
- AI in Business & Industry Applications – 20%
- AI Ethics & Bias – 20%
- The Future of AI & Career Opportunities – 20%
Certification Modules
Module 1: Introduction to AI & Its Impact
- 1.1 Understanding AI
- 1.2 AI in Everyday Life
- 1.3 Introduction to Machine Learning
- 1.4 Use-Case, Case Study, and Hands-On Activity
Module 2: Prompt Engineering: Interacting with AI
- 2.1 Defining Prompt Engineering and its Importance
- 2.2 Enhancement through Well-Crafted Prompts
- 2.3 Exploring GPT-4
- 2.4 Use-Case, Case Study, and Hands-On Activity
Module 3: AI in Business & Industry Applications
- 3.1 Crafting AI Strategies
- 3.2 Key AI Tools for Business
- 3.3 Power of GAN AI
- 3.4 Use-Case, Case Study, and Hands-On Activity
Module 4: AI Ethics & Bias
- 4.1 Overview of Ethical Considerations in AI
- 4.2 Data Collection and Bias consequences
- 4.3 Bias Impact on Decision-Making
- 4.4 Use-Case, Case Study, and Hands-On Activity
Module 5: The Future of AI & Career Opportunities
- 5.1 AI’s Role in Addressing Global Challenges
- 5.2 How AI is Reshaping Industries and the Nature of Work
- 5.3 Job Displacement vs. Job Creation
- 5.4 Skills of the Future
- 5.5 Use-Case, Case Study, and Hands-On Activity