3 Months (Part-Time)
Generative AI Tools in Practice
Our next certification starts: Q1 2027
Project-Oriented, Hands-On Approach
Generative AI Tools in Practice
The Generative AI course is a standalone, part-time program designed for developers, designers, entrepreneurs, and professionals who want to explore the power of AI. Participants engage in real-world projects using LLMs, AI chatbots, multimedia generation, open-source LLMs, WebGPU, and AI APIs.
What You Will Build
- Smart assistants, chatbots, and AI memory tools
- AI-powered automation workflows and multimodal content
- A complete AI product from idea to MVP
Course Description
Generative AI Tools in Practice
This program is ideal for individuals looking to explore the fast-growing field of generative artificial intelligence and its applications across industries. It provides a hands-on, project-based learning experience tailored to equip students with both foundational and advanced skills in AI creativity, automation, and tool development.
Graduates of the Generative AI program will be able to design intelligent assistants, generate multimedia content, and automate digital tasks using state-of-the-art AI tools and APIs. Local mentor support will be available during office hours for questions, guidance, and project reviews.
Career Paths
- AI Product Prototyping Specialist
- Prompt Engineer / Generative AI Developer
- Conversational AI Designer (Chatbots)
- Creative Technologist (AI for Audio/Video/Image/3D)
- Automation Workflow Developer
- Innovation Consultant (AI Integration)
- Digital Content Engineer (AI-Assisted Media)
Course Objectives
- Understand the core concepts of generative AI, including Large Language Models (LLMs), diffusion models, and multimodal systems.
- Learn the ethical considerations, limitations, and responsible use of AI-generated content.
- Gain hands-on experience with tools for text, image, audio, video, and 3D content generation.
- Build and deploy chatbots, digital assistants, and automation agents using AI APIs and open-source platforms.
- Design and execute real-world projects that integrate generative AI into creative, business, and technical workflows.
Expected Outcomes
- Create functional AI-powered applications and prototypes using LLMs and generative tools.
- Apply prompt engineering for enhanced AI output and user interaction.
- Build chatbots, content generators, and automation tools.
- Integrate AI into productivity systems, customer experience tools, and innovation strategies.
- Build a portfolio of real projects demonstrating practical generative AI skills.
Background Requirements
- Basic computer skills and comfort with digital tools.
- Curiosity about AI and technology; no prior AI experience required.
- Creative and problem-solving mindset.
- Openness to learning by doing in a hands-on, project-based course.
3 Months (Part-Time)
Month 1
LLM fundamentals, model choices, simple AI tools, and structured AI memory.
- Understand how LLMs work (concepts, limitations, use cases)
- Know how to use different models (APIs vs. open source)
- Create initial simple tools (chatbot, idea generator, AI memory)
- Structuring and leveraging data with AI (notes, memory, organization)
- Large Language Models: A Quick Look
- Using Free LLMs: Open Source and Proprietary Models
- Running Language Models Using WebGPU
- Smart Memory
- Idea Generator Project
- Tailoring AI Chatbots for Enhanced Interaction
- Smart Notes (AI Knowledge Management)
Month 2
Automation pipelines, web-augmented LLMs, multimodal generation, and generative UI.
- Know how to create AI-powered automation pipelines (no-code workflows)
- Web-augmented LLMs
- Explore multimodal generation (image, audio, video, 3D)
- Understand how to build modern AI interfaces (generative UI)
- Modern Web Search with LLMs
- AI Powered Automation Agents
- Generating 3D Objects from Text and Image
- Hyperrealism in AI Image Generation
- Meta FAIR AI Demos
- Text to Music Generation
- AI Video Generation Adventure
- Grounded Text-to-Image Generation
- Beyond the Sketch
- Generative UI Project
Month 3
Product design, assistant deployment, automated workflows, and advanced user experience.
- Design a complete AI product (from idea to MVP)
- Deploy a real AI assistant (Telegram/app)
- Implement automated workflows (n8n, agents)
- Manage deployment, advanced features, and user experience
- BYO AI Assistant on Telegram
- From Idea to MVP with AI (Job Board + Chat)
- n8n (automation no-code / workflows)
- OpenClaw - Personal AI Assistant
Amazing companies hire our students