FA-0204Agentic & Generative AI

Exploring Artificial Intelligence

One day course for Managers and non-technical decision makers

Introduction

Why this course

This one-day course is designed to demystify Artificial Intelligence for non-technical mid-level and senior managers. This course aims to provide you with a foundational understanding of AI, its capabilities, limitations, ethical considerations, and its potential impact on your industry. By exploring real-world applications, current trends, and future possibilities, you will gain the insights needed to navigate the AI landscape effectively and make informed decisions for your organization.

This course is designed to be interactive, with discussions, case studies, and group activities throughout the day to ensure engagement and facilitate learning.

Learning outcomes

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

Define Artificial Intelligence and understand its key components.
Identify the potential and limitations of AI in business and society.
Recognize the ethical considerations and threats posed by AI.
Explore AI applications in various industries.
Understand the basics of how AI technologies are developed and deployed.
Understand the workings and applications of Generative AI, including ChatGPT, Gemini, and Midjourney.
Develop strategies for implementing AI solutions in their organizations.
Anticipate future trends and developments in AI.

Prerequisites

Basic understanding of business processes and strategies.
Open-mindedness and willingness to engage with new technologies.
No technical background in AI or computer science is required.

Training outline

8 modules

01Introduction to AI4 topics

What is AI? History and Evolution
Key Concepts: Machine Learning, Deep Learning, Neural Networks
Types of AI: Narrow AI vs. General AI
LLM - And all the hype!

02AI in Business and Society3 topics

Real-world Applications of AI
1. Marketing and Customer Service
2. Operations and Supply Chain Management
3. Human Resources and Recruitment
Impact of AI on Employment and the Workforce
Ethical Considerations and Social Responsibility
1. Bias and Fairness
2. Privacy and Security

03Understanding AI Technologies3 topics

How AI Works: An Overview of AI Development
Data Science and AI: The Role of Big Data
Introduction to Natural Language Processing (NLP) and Computer Vision

04Generative AI Technologies5 topics

Exploring Generative AI: ChatGPT, Gemini, Midjourney
Capabilities and Limitations of Generative AI
Practical Applications: Content Creation, Design, Decision Support
Crafting Effective Prompts
1. Precision and Clarity: How specificity influences model responses.
2. Iterative Design: Refining prompts based on initial outputs.
3. Contextual Prompts: Providing background or context for more accurate model replies.
4. Fine Tuning: Participants will observe tailored prompts that extract desired information or responses from LLMs.
Hallucinations and how to prevent them.

05GPT Wrappers and API Interaction3 topics

Overview of GPT wrappers for Python
RAG Alternatives - brainwashing the LLM
Personal and context

06Implementing AI in Your Organization4 topics

Identifying Opportunities for AI Integration
Challenges and Considerations in AI Adoption
1. Technical Infrastructure
2. Talent and Expertise
3. Cost and ROI
Best Practices for AI Project Management
Building an actual LLM

07The Future of AI3 topics

Emerging Trends in AI Technology
AI and the Future of Work
Preparing for an AI-Driven Future: Strategic Planning and Continuous Learning

08Conclusion and Q&A3 topics

Recap of Key Learnings
Open Discussion: AI Opportunities and Concerns in Participants' Industries
Q&A Session

A programme built around your team.

Share your training goals and requirements.