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.
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.
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.
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.
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.
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.