Description

AI Essentials and Use Cases – One-Day Course Syllabus

Instructor: Brad
Duration: One Day (Approx. 6 Hours)
Format: Lecture, Case Studies, Hands-on Activities, and Discussions

Course Description

This one-day course provides an overview of the essential concepts of Artificial Intelligence (AI) and its real-world applications. Participants will learn key AI techniques, explore industry use cases, and discuss the impact of AI on business and society. The course is designed for professionals, students, and enthusiasts looking to understand AI’s role in various sectors.

Learning Objectives

By the end of this course, participants will be able to:

• Understand the fundamental concepts and working principles of AI.
• Identify different AI technologies, including machine learning and deep learning.
• Explore real-world AI use cases across multiple industries.
• Discuss the ethical and societal implications of AI.
• Experiment with AI-powered tools and applications.

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Course Schedule

Session 1: Introduction to AI Essentials (9:00 AM – 10:00 AM)

• What is AI? Definitions and Key Concepts
• The Evolution of AI: Past, Present, and Future
• Types of AI: Rule-based Systems, Machine Learning, and Deep Learning
• Key AI Technologies: Natural Language Processing (NLP), Computer Vision, Robotics

Session 2: How AI Works (10:15 AM – 11:30 AM)

• Understanding Machine Learning and Neural Networks
• Supervised vs. Unsupervised Learning
• Data in AI: Importance of Data, Bias, and Challenges
• AI Tools & Platforms Overview (TensorFlow, OpenAI, Google Colab)

Session 3: AI Use Cases Across Industries (11:45 AM – 12:30 PM)

• AI in Healthcare (Medical Diagnosis, Drug Discovery)
• AI in Finance (Fraud Detection, Algorithmic Trading)
• AI in Retail (Personalized Recommendations, Customer Insights)
• AI in Manufacturing (Automation, Predictive Maintenance)

Lunch Break (12:30 PM – 1:30 PM)

Session 4: AI in Business & Society (1:30 PM – 2:30 PM)

• AI for Business Growth: Competitive Advantage and Productivity
• AI in Smart Cities and Public Services
• Challenges: AI Bias, Ethics, and Job Displacement
• Regulatory and Ethical Considerations in AI

Session 5: Hands-on Activity & Case Study Discussion (2:45 PM – 4:00 PM)

• Hands-on Demo: Exploring AI-powered tools (e.g., ChatGPT, Image Recognition, AI-powered Data Analytics)
• Group Case Study: How companies successfully implemented AI
• Discussion: Future Trends and Career Opportunities in AI

Final Discussion & Closing (4:00 PM – 4:30 PM)

• Summary of Key Takeaways
• Open Q&A and Course Wrap-up