Generative AI Fundamentals Training Course
Course Overview
This course introduces participants to the foundational concepts of Generative AI (GenAI)—a transformative area of artificial intelligence focused on machines generating text, images, code, audio, and more. Designed for learners at the entry level, the course demystifies how models like ChatGPT, DALL·E, and other generative systems work, and how they can be applied to solve real-world business problems.
Through interactive sessions and guided demos, participants will build a strong conceptual base in GenAI, understand its ethical dimensions, and explore practical use cases across industries.
Format of Training
- Instructor-led training
- Interactive demos of GenAI tools (ChatGPT, Bard, DALL·E, etc.)
- Group activities and case-based discussions
- Optional prompt-writing lab with real-time feedback
Course Objectives
- Understand what Generative AI is and how it differs from traditional AI.
- Identify common types of generative models (LLMs, GANs, diffusion models).
- Describe real-world applications of GenAI across text, image, audio, and code.
- Interact confidently with GenAI tools like ChatGPT and DALL·E.
- Write basic prompts to guide and optimize AI-generated outputs.
- Recognize the ethical, legal, and data privacy implications of using GenAI.
- Explore the business potential of GenAI for productivity, creativity, and automation.
Prerequisites
- No programming or AI experience required
- Basic familiarity with using digital tools or applications
Course Outline
Day 1: Understanding GenAI & Its Applications
Session 1: What is Generative AI?
- Evolution from traditional AI to GenAI
- Overview of machine learning vs. deep learning
- Text-to-text, text-to-image, and multimodal generation
Session 2: Key Models Behind Generative AI
- Large Language Models (LLMs): ChatGPT, Claude
- Image models: DALL·E, Midjourney
- Introduction to GANs, transformers, and diffusion models (conceptual)
Session 3: Demo & Exploration Lab
- Hands-on use of ChatGPT and DALL·E
- Writing basic prompts and analyzing results
- Small group activity: Exploring creative vs. analytical use cases
Day 2: Ethics, Prompts & Business Potential
Session 4: Writing Effective Prompts
- Anatomy of a good prompt
- Prompt tuning techniques (role prompting, style guiding, zero-shot/few-shot)
- Practice: Designing prompts for different tasks
Session 5: Risks, Ethics & Governance in GenAI
- Deepfakes, hallucinations, bias, and misinformation
- Data privacy and IP concerns
- How to evaluate responsible AI use
Session 6: Business Use Cases & Strategy Mapping
- GenAI in marketing, operations, HR, customer support, etc.
- Brainstorming session: Where could your team use GenAI?
- What’s next? Upskilling paths and integration into workflows
Bespoke Option
We are open to customizing this program to align with your specific learning objectives. If your team has particular goals or areas they wish to focus on, we would be happy to tailor the course outline to meet those needs and ensure the program supports the achievement of your desired outcomes.
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