Description
The Lovable AI training focuses on enabling participants to effectively use Generative AI tools and transform these technologies into solutions that are adopted, trusted, and value-driven (lovable) by users.
Participants will learn how to actively use tools like ChatGPT and similar platforms within their business processes, craft effective prompts, and maximize the value of AI-generated outputs.
The program emphasizes practical usage, business impact, and a user-centered approach, rather than deep technical complexity.
Audience
- Business Analysts
- Product Managers
- Data Teams
- Software Development Teams
- Operations, Sales, and Marketing Teams
- Professionals who want to actively use AI tools in their daily work
Outline
1. Generative AI and Current Tools (Introduction)
- What is Generative AI?
- Use cases in business environments
- Overview of tools such as ChatGPT, Claude, and Gemini
- Content generation, analysis, and automation with AI
- Enterprise use case examples
2. Prompt Engineering (Fundamental → Advanced)
- What is a prompt?
- Techniques for writing effective prompts
- Role assignment, context building, and output structuring
- Chained prompting (Chain-of-Thought approach)
- Hands-on exercises with real business scenarios
3. AI in Daily Business Processes
- Reporting and data analysis
- Content creation (emails, proposals, presentations)
- Data summarization and interpretation
- Using AI in operational workflows
4. Why Should AI Be “Lovable”?
- AI adoption challenges
- The difference between “used” vs “unused” AI
- User trust and experience
- Lessons learned from failed AI initiatives
5. Human-Centered AI Approach
- User-centric AI design principles
- Design Thinking approach
- Understanding user needs effectively
- User journey in AI-driven solutions
6. Creating Business Value with AI
- Identifying the right use cases
- “Cool AI” vs “Value-Driven AI”
- Integration into business processes
- Success metrics and ROI approach
7. Lovable AI Framework
- Problem → AI → Experience → Value framework
- Simple and applicable model
- Organizational adoption strategies
- Successful real-world examples
8. Workshop & Hands-on Practice (Optional)
- Designing AI solutions for real business problems
- Prompt development exercises
- Group presentations and feedback