GenAI Certification for Managers & Tech Leaders

Overview of AI and Generative AI

Evolution of AI technologies

Fundamentals of deep learning and neural networks

Key players and tools in Generative AI

Types of AI models (GPT BERT DALL?E etc.)

Working principles of LLMs

Training and fine-tuning AI models

Model evaluation and performance metrics

Use cases in different industries (finance healthcare retail etc.)

AI for automation and efficiency

Case studies of AI adoption

Building AI-powered products

Defining AI strategy for enterprises

Steps to AI implementation

Managing AI-driven transformation

Aligning AI with business objectives

Bias and fairness in AI models

Ethical risks of AI deployment

Privacy and data security in AI

Regulatory frameworks and global standards

Creating AI governance policies

Risk management in AI adoption

AI compliance frameworks

Responsible AI practices

AI-driven process optimization

Integrating AI with existing systems

Change management for AI adoption

Overcoming challenges in AI integration

Leveraging AI for data-driven decision-making

Predictive analytics with AI

AI in customer experience and personalization

Optimizing business operations with AI insights

Emerging trends in AI research

AI and the future of work

Innovations in multimodal AI

Preparing for the next wave of AI advancements

Exam structure and key focus areas

Practice questions and mock tests

Hands-on labs and real-world projects

AI leadership best practices