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Practical AI - No Code
Practical AI for the Evolving Workspace
A focused, application-driven course providing a comprehensive toolkit for integrating AI into your daily routine. No complex theories -just tools, workflows, and tangible results.
Who is this for?
Managers & Team Leads
For those looking to streamline workflows, make data-driven decisions faster, and harness AI for task and project management.
Business Owners
For creating marketing content, building a digital presence, and managing smart customer service with minimal time and cost.
Corporate Employees
For professionals who want to become "super employees"—completing routine tasks in a fraction of the time to focus on strategy.
Content & Ops Specialists
For anyone involved in writing, presentations, long document analysis, and building automated workflows.
Curriculum Highlights
Prompt Engineering
Learn how to "speak" to LLMs, how prompt structure affects output, and how to avoid hallucinations. Comparative study of GPT, Claude, and Gemini.
Knowledge Management
Using NotebookLM to analyze hundreds of documents simultaneously, extracting insights, and talking directly to your organizational knowledge base.
Digital Deliverables
Building websites and apps in natural language (Lovable), creating business presentations in minutes (Gamma), and AI-driven graphic production.
Personal AI Agents
Build Custom GPTs and Gems tailored to your specific tasks—agents that know your protocols and write in your unique style.
Advanced Workflows
Learn to connect different tools to create a "production line." From raw documents to a finished website or presentation in one smart flow.
Ethics & Governance
Understanding risks, maintaining data privacy, and implementing quality control (Human-in-the-loop) to ensure AI serves you safely.
Course Syllabus
| Session | Time | Topic |
|---|---|---|
| Session 1 | 10:00 - 11:30 | AI Foundations: Technology overview, model differences, and how it works. |
| 11:45 - 12:30 | Hallucinations: Techniques for identifying errors and verifying information. | |
| 13:25 - 14:10 | Model Comparison: GPT vs Claude, Gemini, and Perplexity. | |
| 14:20 - 15:05 | Prompt Engineering: Writing professional-grade instructions. | |
| 15:15 - 16:00 | Smart Work Roadmap: Personal implementation strategies. | |
| Session 2 | 10:00 - 11:30 | Knowledge Management: Working with NotebookLM and deep document analysis. |
| 11:45 - 12:30 | From Data to Output: Turning documents into structured presentation drafts. | |
| 13:25 - 14:10 | No-Code: Building websites and landing pages using Lovable. | |
| 14:20 - 15:05 | AI Presentations: Working with Gamma and visual tools. | |
| 15:15 - 16:00 | Tool Integration: Creating a full end-to-end workflow. | |
| Session 3 | 10:00 - 11:30 | The Agent Era: Moving from chat models to active AI Agents. |
| 11:45 - 12:30 | Practical Build: Creating Custom GPTs / Gems for specific tasks. | |
| 13:25 - 14:10 | Automations: Connecting AI to daily routine triggers. | |
| 14:20 - 15:05 | Augmentation: Enhancing human performance with AI. | |
| 15:15 - 16:00 | Final project presentation and summary. |
| Session | Time | Topic |
|---|---|---|
| Session 1 | 17:00 - 18:30 | AI Intro: Technology, Training vs Inference, and Model Architecture. |
| 18:50 - 19:50 | Hallucinations: Identifying errors and model limitations. | |
| 20:00 - 20:45 | Market Comparison: GPT, Gemini, Claude, and Perplexity. | |
| Session 2 | 17:00 - 18:30 | Prompt Engineering Foundations + Smart Work Roadmap. |
| 18:50 - 19:50 | NotebookLM: Working with documents and reducing bias. | |
| 20:00 - 20:45 | Document → Summary → Presentation Skeleton. | |
| Session 3 | 17:00 - 18:30 | No-Code Tools: Building websites (Lovable) and presentations (Gamma). |
| 18:50 - 19:50 | Multi-Tool Integration: Doc → Web → Presentation. | |
| 20:00 - 20:45 | Intro to Agents: Moving from language models to active agents. | |
| Session 4 | 17:00 - 18:30 | Practical Agent Build: Creating Custom GPTs / Gems. |
| 18:50 - 19:50 | Integrated Workflows + Augmentation vs Automation. | |
| 20:00 - 20:45 | Final Workflow Showcase and next steps. |
Core Value & Takeaways
The team of instructors