GENERATIVE AI FOR BUSINESS LEADERS

Live-Online Training: N 250,000
Classroom Training: N 350,000
3 - 4 participants: 5% discount
5 or more participants: 10% discount

(Available also for Customised Training by Duration, Venue & Fee)

Course Description

​This 5-day course equips business leaders with a robust understanding of Generative AI and its potential applications within their organizations. Participants will learn the principles behind Generative AI, key tools and technologies, and how to leverage AI to drive innovation and streamline business processes.

Course Objectives:

●      Understand the fundamentals of Generative AI and its role in modern business.

●        Identify suitable use cases for Generative AI in different business functions.

●        Evaluate key Generative AI tools, techniques, and ethical considerations.

●        Implement basic AI-driven solutions and strategies to improve business operations.

●        Develop a roadmap for incorporating Generative AI in business practices.

Delivery Method:

●      Format: Instructor-led training with hands-on exercises, case studies, and group discussions.

●      Tools: OpenAI, Google AI, Midjourney, and relevant AI applications.

●      Prerequisites: Basic understanding of business operations; no prior AI knowledge required.

Target Audience: Business executives, innovation leaders, strategy managers, product managers, and senior professionals interested in AI-driven business transformation.

Day 1: Foundations of Generative AI and Business Implications

Morning Session:

●      Welcome and Course Overview

○      Introduction to course objectives, schedule, and key takeaways.

○        Importance of Generative AI in the future of business.

●      Introduction to Generative AI

○      Overview of Generative AI: definitions, capabilities, and limitations.

○        Key Generative AI technologies: machine learning, neural networks, natural language processing (NLP), and deep learning.

●      AI in Business

○      Impact of Generative AI across industries (e.g., finance, healthcare, retail).

○        Exploring real-world AI-driven business models and innovations.

Afternoon Session:

●      Types of Generative AI Models

○      Text generation models (GPT, BERT).

○        Image and video generation models (GANs, DALL-E).

○        Speech synthesis and code generation models.

●      Case Study: AI-driven Business Transformation

○      Group exercise analyzing a business scenario where AI generated significant value.

○        Discussion on challenges, opportunities, and ethical implications.

Materials:

●      Presentation slides

●        Generative AI glossary

●        Case study materials

Day 2: Identifying Generative AI Use Cases for Business

Morning Session:

●      Evaluating Business Use Cases

○      Frameworks for identifying suitable AI use cases.

○        Analyzing value, feasibility, and risk of AI applications in business functions.

●      Generative AI for Marketing and Customer Engagement

○      Exploring AI’s role in content creation, personalization, and customer engagement.

○        Examples of AI-powered marketing strategies and tools.

Afternoon Session:

●      Generative AI in Product Development and Innovation

○      Prototyping and design with Generative AI (3D models, simulations).

○        Accelerating R&D with Generative AI.

●      Hands-On Workshop: Defining AI Use Cases

○      Participants define potential Generative AI use cases in their organizations.

○        Group discussions to refine ideas and assess feasibility.

Materials:

●      Presentation slides

●        Use case evaluation templates

●        Workshop guide

Day 3: Key Tools, Techniques, and Ethics in Generative AI

Morning Session:

●      Generative AI Tools and Platforms

○      Overview of popular Generative AI tools (OpenAI, Google AI, Midjourney, etc.).

○        Hands-on practice with key tools for generating text, images, and audio.

●      Technical Foundations: Understanding Neural Networks

○      Introduction to neural networks and how they generate content.

○        Key terms and concepts (transformers, recurrent networks, GANs).

Afternoon Session:

●      Ethics and Governance in Generative AI

○      Addressing ethical concerns: bias, transparency, data privacy, and misinformation.

○        Developing ethical AI policies and compliance strategies.

●      Case Study: Ethical AI in Business

○      Group exercise exploring a real-world ethical dilemma with AI applications.

○        Discussion on creating responsible AI governance frameworks.

Materials:

●      Presentation slides

●        Ethical guidelines handout

●        AI tools access or trial versions

Day 4: Building AI-Driven Business Strategies

Morning Session:

●      AI Strategy Development

○      Integrating AI into business strategy.

○        Aligning AI initiatives with company goals and values.

●      AI-Driven Customer Insights and Personalization

○      Using AI for customer segmentation, sentiment analysis, and predictive insights.

○        Building personalized customer journeys with AI.

Afternoon Session:

●      Workshop: Crafting an AI Strategy

○      Hands-on session where participants develop a strategic AI roadmap for their organization.

○        Feedback and group discussions on implementation and scaling.

Materials:

●      Presentation slides

●        AI strategy templates

●        Workshop materials

Day 5: Scaling, Monitoring, and the Future of AI in Business

Morning Session:

●      Scaling Generative AI in Business Operations

○      Best practices for implementing AI at scale.

○        Managing resources, talent, and technology for sustained AI success.

●      AI Monitoring and Performance Evaluation

○      Tracking and measuring AI performance.

○        Key metrics and dashboards for monitoring AI-driven projects.

Afternoon Session:

●      Future Trends in Generative AI

○      Emerging trends and technologies in Generative AI.

○        Preparing for the next wave of AI innovation and regulatory changes.

●      Wrap-Up and Action Plan Development

○      Review of key course concepts.

○        Final workshop: creating a personalized action plan for implementing Generative AI in participants' organizations.

Materials:

●      Presentation slides

●        Performance tracking templates

●        Future trends handout

●        Action plan template

Tutor Materials

●      Instructor Guide

○      Detailed lesson plans for each session.

○      Tips for engaging executives and managing diverse business backgrounds.

●      Presentation Slides

○      Comprehensive slide decks for each session, with clear explanations and visuals.

●      Case Study Solutions

○      Suggested solutions and sample AI-driven business strategies.

●      Supplementary Resources

○      Recommended readings and additional resources.

○        Links to tutorials and relevant online AI courses.

Student Materials

●      Course Handbook

○      Summary of Generative AI fundamentals, use cases, and tools.

○        Guides on implementing AI use cases and strategies.

●      Exercise Workbooks

○      Scenarios and exercises to reinforce key concepts.

●      Case Study Handouts

○      Detailed descriptions and context for each case study.

●      Certification Test

○      Optional certification test for assessing understanding and practical knowledge.

This course is designed to equip business leaders with the knowledge and tools to effectively leverage Generative AI in transforming their business operations and strategies, creating a competitive edge in the digital age.