GenAI Training

Generative AI is a revolutionary area of artificial intelligence dedicated to developing systems capable of producing original content, such as images, text, and music. Utilizing sophisticated models like Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), GenAI expands the horizons of machine creativity, with significant applications across various industries. This course will introduce you to the essential concepts, methodologies, and practical uses of GenAI, equipping you with the skills to drive innovation and creativity using this powerful technology.

Session 1 — 09:00 AM to 10:00 AM

Introduction to Generative AI

• Understanding Generative AI
• Traditional AI vs. Generative AI
• What are Large Language Models (LLMs)?
• Overview of leading AI models (GPT, Claude, Llama, Gemini)
• Industry-specific applications
• How AI is reshaping modern workflows

Live Demonstration:
AI-generated text, summaries, and problem-solving examples.

Session 2 — 10:00 AM to 11:00 AM

Fundamentals of Prompt Engineering

• What is a prompt and how it influences AI output
• Elements of a good prompt (role, task, context, format)
• Zero-shot, one-shot, and few-shot prompting
• Controlling tone, writing style, and structure
• Avoiding hallucinations and incorrect outputs

Hands-On Practice:
Crafting professional prompts, rewriting weak prompts.

Break — 11:00 AM to 11:15 AM

Session 3 — 11:15 AM to 12:15 PM

AI for Productivity and Daily Work

• Using ChatGPT, Claude, and Gemini for analysis and research
• Working with documents (PDF, Excel, Word)
• AI-based summarization and reporting
• Content generation (blogs, emails, scripts, LinkedIn posts)
• Ideas, strategies, and planning using AI

Hands-On Practice:
Writing a LinkedIn post, summarizing a document, generating a plan.

Lunch Break — 12:15 PM to 1:00 PM

Session 4 — 1:00 PM to 2:00 PM

AI for Images, Audio, and Video

• AI image creation tools (Midjourney, DALL·E, Stable Diffusion)
• Introduction to AI video generation (Runway, Pika, Sora concepts)
• AI-based voice generation (text-to-speech tools)
• Using AI for branding, design consistency, and marketing visuals

Hands-On Practice:
Creating a promotional image and developing a simple AI-based video concept.

Session 5 — 2:00 PM to 3:00 PM

AI for Automation (No-Code)

• Automating everyday work tasks using AI
• AI + spreadsheets (data cleaning, formulas, summaries)
• Creating no-code chatbots
• Using automation tools (Zapier, Make)
• Designing simple AI-based assistants

Hands-On Practice:
Building an Auto-Reply Assistant and a basic Q&A assistant.

Break — 3:00 PM to 3:15 PM

Session 6 — 3:15 PM to 4:30 PM

Mini Project and Practical Lab

Participants select one mini-project and complete it from start to finish.

Project Options:

• Customer Service AI Assistant
• Marketing Content Generator
• Internal Company Policy Q&A Bot
• AI-Generated Promotional Product Images

Deliverables:
A prompt library, generated outputs, and a short presentation.

Closing Session — 4:30 PM to 5:00 PM

Ethics, Best Practices, and AI Safety

• Responsible usage of AI
• Data privacy, confidentiality, and compliance
• Identifying risks and preventing misinformation
• Future skills and roadmap for AI adoption

Certificates (optional) and final Q&A.

Key Highlights

• Fully practical training with real-world examples
• Hands-on learning in every session
• Templates and prompt libraries included
• Customizable for any industry or department