AI+ Everyone™

Course Certification

This course helps you prepare to take the:
AI+ Everyone™ Exam;

Course Outline

Module 1: Introduction to AI – Foundations and Impact

• Differentiate between Narrow AI (task-specific) and General AI (human-like cognition).
• Trace AI’s evolution from the Turing Test to deep learning breakthroughs.
• Explore AI applications in smart devices, healthcare, and business.
• Discuss AI’s societal impact on efficiency, ethics, and decision-making.

Module 2: AI Technologies – Tools and Techniques

• Explain machine learning types: supervised, unsupervised, and reinforcement learning.
• Introduce deep learning architectures (CNNs, RNNs, Transformers).
• Highlight the role of data in training AI models and tuning parameters.
• Address challenges like bias, interpretability, and scalability.

Module 3: AI Applications – Case Studies in Practice

• Analyze AI in smart speakers: NLP, voice recognition, and personalization.
• Examine self-driving cars: sensor fusion, decision-making, and ethics.
• Discuss AI in healthcare: diagnostics, predictive analytics, and patient care.
• Evaluate AI’s broader industry impact on automation and efficiency.

Module 4: AI Project Workflow – From Concept to Deployment

• Define key steps: problem identification, data collection, and preprocessing.
• Explain model training, validation, and hyperparameter tuning.
• Cover deployment strategies and model integration into real systems.
• Highlight the importance of continuous monitoring and iteration.

Module 5: Ethics and Society – Responsible Innovation

• Address bias in AI models and methods for fairness.
• Discuss privacy, security concerns, and global AI regulations.
• Explore ethical AI frameworks: transparency, accountability, and trust.
• Examine AI’s impact on jobs and strategies for equitable adoption.

Module 6: Generative AI – Creativity and Ethics

• Introduce generative models: GANs, VAEs, and their creative potential.
• Explore AI applications in art, music, design, and content generation.
• Discuss ethical concerns: intellectual property, deepfakes, and misinformation.
• Highlight AI’s role in augmenting rather than replacing human creativity.

Module 7: Future Readiness – Adapting to AI Trends

• Predict AI’s influence on industries and everyday life in the next decade.
• Discuss workforce transformation: job displacement vs. job creation.
• Emphasize continuous learning and AI skill development.
• Explore AI’s role in solving global challenges like climate change and security.

Module 8: AI Adoption – First Steps and Resources

• Guide organizations in selecting AI projects and defining goals.
• Outline key roles and skills for building an AI-ready team.
• Discuss AI tools, platforms, funding sources, and adoption challenges.
• Recommend learning paths and community engagement for long-term AI success.

 

Course Mode

Instructor-Led Remote Live Classroom Training;

Trainers

Trainers are AI CERTs  Certified and in other IT technologies, with years of hands-on experience in the industry and in Training.

Lab Topology

For all types of delivery, the Trainee can access real AI CERTs equipment and systems in our laboratories or directly at the AI CERTs data centers remotely 24 hours a day. Each participant has access to implement the various configurations thus having a practical and immediate feedback of the theoretical concepts.
Here are some Labs topologies available: