AI+ Foundation (AF-101 Self-Paced Training)

Ziele der Schulung

Wichtiger Hinweis

Dieses offizielle eLearning von AI Certs (Self-Paced Training) vermittelt Ihnen fundiertes Fachwissen zur selbstgesteuerten Vorbereitung auf die entsprechende Zertifizierung. Der enthaltene Examens-Voucher ermöglicht Ihnen die direkte Teilnahme an der Zertifizierungsprüfung – ohne zusätzliche Kosten.

Die Zertifizierungsprüfung zu diesem eLearning ist in deutscher und in englischer Sprache verfügbar.

Seminarziel

This certification will provide you with a foundational understanding of Artificial Intelligence (AI), including its core concepts, ethical considerations, and real world applications. You will learn how AI is transforming various industries and how to interact with AI models effectively through prompt engineering. The course will explore the potential of AI in business and industry, emphasizing its impact on decision-making, operational efficiency, and innovation. Additionally, you will gain insights into the ethical challenges surrounding AI adoption, focusing on bias and fairness, and how to responsibly implement AI technologies.

This Self-Paced Learning is acutally available for free.

Zielgruppe Seminar

This certification is ideal for:

• Aspiring AI Enthusiasts: Individuals looking to gain foundational knowledge in AI, its real-world applications, and ethical considerations.
• Professionals in Technology and Business: Those interested in understanding how AI is transforming industries and enhancing business operations.
• Ethics and Policy Makers: Individuals seeking to understand the societal impact of AI and its ethical challenges.
• Career Changers: People exploring career opportunities in AI and looking to build strong foundational knowledge.
• Students and Recent Graduates: Those interested in entering the field of AI or technology and seeking a structured introduction to AI concepts and applications.

Voraussetzungen

• Basic knowledge of computer science and statistics.
• Keen interest in the tools and processes of data analysis.
• Willingness to learn programming languages such as Python and R.

Seminarinhalt

Module 1: Introduction do 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

Hinweise

Prüfung und Zertifizierung

Exam Details

• Duration: 90 minutes
• Passing Score: 70% (35/50)
• Format: 50 multiple-choice/multiple-response questions
• Delivery Method: Online via proctored exam platform (flexible scheduling)

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%

Open Badge für dieses Seminar - Ihr digitaler Kompetenznachweis