Overview
The Generative AI Foundation course provides a practical introduction to Generative Artificial Intelligence and its real-world applications across industries. Learners will explore how modern AI systems generate text, images, audio, code, and other digital content using advanced machine learning models.
This beginner-friendly course introduces key AI concepts, prompt engineering, AI tools, responsible AI practices, and business use cases. Participants will gain hands-on understanding of how Generative AI can improve productivity, creativity, decision-making, and innovation across different professional roles.
By the end of the course, learners will understand core Generative AI concepts and confidently identify opportunities to apply AI in business, marketing, operations, development, and everyday workflows.
Business Professionals & Managers
Learn how Generative AI supports decision-making, productivity, automation, and business innovation.
IT Professionals & Technology Teams
Understand AI fundamentals, applications, and integration opportunities within modern digital environments.
Marketing & Content Professionals
Discover how AI can accelerate content creation, campaign planning, research, and customer engagement.
Developers & Technical Learners
Build foundational knowledge of AI models, prompting techniques, and AI-powered workflows.
Entrepreneurs & Consultants
Identify opportunities to use Generative AI for business growth, customer experience, and operational efficiency.
Students & Career Starters
Develop future-ready AI skills and gain practical exposure to emerging technologies.
New AI Learners
Ideal for beginners who want a structured and accessible introduction to Generative AI.
1. Introduction to Generative AI
- What is Generative AI
- Evolution of AI and Generative Models
- Types of Generative AI applications
2. Foundations of Artificial Intelligence
- AI, Machine Learning, Deep Learning concepts
- Neural networks and model fundamentals
- Understanding training and inference
3. Large Language Models (LLMs)
- How LLMs work
- Tokens, context windows, and model behavior
- Common AI model capabilities and limitations
4. Prompt Engineering
- Prompt design principles
- Prompt structures and optimization
- Techniques for better AI outputs
5. Generative AI Tools & Applications
- Text generation
- Image generation
- Code generation
- AI productivity tools and assistants
6. Responsible AI & Ethics
- AI governance and ethical considerations
- Bias, privacy, and security awareness
- Responsible AI usage practices
7. Business Use Cases
- Marketing and content creation
- Customer support and automation
- Productivity enhancement and workflow optimization
8. Future of Generative AI
- Emerging trends and innovations
- Industry adoption and career opportunities
- Multiple-choice questions
- Scenario-based questions
- Practical AI use-case understanding
- Recommended passing score as defined by training provider
Policies
Training Options
Corporate Training
We work with customers to provide tailor made training solutions, onsite and off site delivery with customized content to cover areas of key importance. Please contact for private batches or any other requirements.