Generative AI for Executives

Unlocking Innovation and Growth: A Strategic Guide to Generative AI for Executives

Duration

3 Days (3.5 hrs each day)

Level

Basic Level

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As per your team needs

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This course offers executives a comprehensive understanding of Generative AI, its applications, and organizational implications. Participants will explore the evolution of Generative AI, understand its distinctions from other AI technologies, and gain insights into the emerging generative AI ecosystem. The program will cover organizational requirements for adopting Generative AI, best practices of Prompt Engineering, strategic initiatives for incorporating AI, and the significance of cloud and data strategy. Additionally, ethical considerations and future trends and opportunities in Generative AI will be discussed to equip executives with the knowledge needed to make informed decisions regarding AI adoption and integration within their organizations.

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This course is designed for executives, managers, and decision-makers in various industries who want to understand the potential of Generative AI and how it can impact their business strategies and operations. No technical background in AI is necessary, making it accessible to a wide range of professionals, including but not limited to:

CEOs, CTOs, and other C-suite executives
Business Development Managers
Product Managers
Marketing and Sales Managers
Innovation and R&D Leaders
Strategy and Planning Executive

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Module 1: Quick recap of AI and ML

AI Overview
Traditional Systems vs Machine Learning based AI
Taxonomy of AI
Capabilities & Use Cases
AI & Data Science
Types of Machine Learning
Understanding ML Algorithms in an Intuitive Way
Introduction to Deep Learning
Ways to Implement AI
Demos on Sentiment analysis of Tweets and Pictures

Module 2: Generative AI Overview

Introduction to Generative AI
Evolution of Generative AI
How Generative AI Differs from Other AI Technologies
- Understanding Generative AI and its Capabilities
- Distinctions Between Generative AI and Traditional AI/ML
Exploring the Generative AI Value Chain
Current Trends in Generative AI including ChatGPT
Applications and Use Cases of Generative AI
Demos to give broader perspective about Bard, ChatGPT, MidJourney and more

Module 3: Being an AI first company using Generative AI

Organizational Requirements for Generative AI Adoption
Preparing the Organization for Generative AI Integration
Skillsets and Expertise Required for Implementing Generative AI
Overcoming Challenges and Managing Risks in Generative AI Adoption
Strategic Initiatives for Incorporating AI
- Building an AI-First Company Culture
- Vision, Risks, Assumptions, Acceptance and more
- Integrating Generative AI into Business Processes
- Exploring Opportunities for AI Innovation and Growth
Adopting Generative AI Strategy

Module 4: Best Practices of Prompt Engineering

Importance of Well-Defined Prompts in Generative AI
Strategies for Crafting Effective Prompts
Leveraging Prompt Engineering for Desired Outputs
Lab Exercise on better prompt design

Module 5: Significance of Cloud and Data Strategy in Generative AI

Cloud Computing and its Impact on Generative AI
Data Collection, Privacy, and Security Considerations
Leveraging Data for Improving Generative AI Performance
Ethical and Responsible AI
- Understanding Ethical Concerns in Generative AI
- Responsible Use of Generative AI Technologies
- Building Trustworthy AI Systems
Future Trends and Opportunities in Generative AI
- Exploring the Potential of Generative AI in Different Industries
- Anticipating Advancements and Innovations in Generative AI
- Identifying Opportunities for Business Growth and Competitive Advantage
Demo on Cloud AI

Module 6: Implementing Generative AI in Business

Implementing Generative AI Strategy
Key considerations for integrating Generative AI into existing workflows
Identifying use cases and projects suitable for Generative AI adoption
Evaluating ROI and cost-benefit analysis of Generative AI implementation

Module 7: Ethical Considerations and Responsible AI

Addressing biases and fairness in Generative AI models
Understanding the potential societal impact of Generative AI
Developing ethical guidelines for using Generative AI responsibly

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Familiarity with the fundamentals of data and Azure cloud
No prior knowledge of Generative AI is required

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