Generative AI in Action: Industry Trends and Skills You Need in 2025

Overview

Discover emerging Generative AI trends, essential tools, and skills needed by 2025 to gain a competitive edge in the rapidly evolving job market across various industries.

Syllabus

• Overview of Generative AI
Introduction to Generative AI Concepts
Historical Development of Generative Models
Key Differences Between Generative AI and Other AI Approaches
• Emerging Trends in Generative AI
Recent Breakthroughs and Innovations
Impact on Industries: Finance, Healthcare, Entertainment, etc.
Overview of AI Ethics and Policy Considerations
• Generative AI Tools and Technologies
Survey of Leading Generative AI Frameworks: GPT, GANs, etc.
Software and Platforms: TensorFlow, PyTorch, etc.
Tools for Model Deployment and Integration
• Skills for the Generative AI Workforce
Essential Programming Skills: Python, R, etc.
Understanding and Applying Machine Learning Algorithms
Data Analysis and Preprocessing for AI Models
Critical Thinking and Problem-Solving in AI Contexts
• Hands-on Practice with Generative AI
Building a Simple Generative Model
Implementing Projects in Different Domains: Art, Music, Text
Best Practices for Testing and Evaluating AI Systems
• Future of Work and Generative AI
Job Market Analysis and Emerging Roles
Interdisciplinary Skills and Continuous Learning
Creating a Personal Development Plan for AI Careers
• Capstone Project
Application of Learned Skills in a Real-World Scenario
Group Collaboration and Presentation
Feedback and Reflection on Learning Outcomes

Subjects

Computer Science