1
Get better at my job
Bring AI into your routine, raise deliverable quality and free up time for what matters.
Next step: personal AI workflow
Foundations & exploration
Learn AI by building things you can actually use
Start from zero and build foundations while creating research, content, analyses, automations and small solutions applied to your work, business or career.
You don't need to code or pick a specialization before you start. First you experiment. Then you decide where to go deeper.
For beginners
~3 months
Pre-recorded + live
No prerequisites
Where you want to get to
What do you want to do with AI?
Four motivations, one entry point. The AI Start foundation is common — what changes is what you build and deepen later.
2
Change or accelerate my career
Build repertoire and a practical portfolio to position yourself in a shifting market.
Next step: experiment portfolio
3
Apply AI to my business
Automate operations, create content and explore opportunities with less technical dependence.
Next step: business automation
4
Lead people who use AI
Understand enough to guide responsible adoption and make better decisions.
Next step: adoption criteria
Learning by doing
You won't just watch. You'll build.
Each step turns content into an applicable deliverable — the program produces a portfolio of experiments, not a fixed list of deliverables.
Prompt system
Reusable copilot
Prompting · productivity
Research brief
Verified research report
Research · sources · trust
Content kit
Multimodal communication kit
Text · image · video
Data insight
Executive data analysis
Data · visualization · decision
Automation flow
Automation workflow
Connectors · triggers · routine
Product build
Simple site or app
Spec coding · prototype
Explore-by-Building
The core mechanic
AI Start is designed for you to discover affinity in practice — not through a syllabus.
- 1Experiment first
- 2Build
- 3Discover affinity
- 4Choose where to go deeper
Phase 1
Foundations and experimentation
Learn the base, experiment with applications and build projects tied to your reality — before committing to any specialization.
- Over 10 recorded hours
- Ten progressive modules
- Hands-on activities
- Projects applied to your reality
Initial program
Ten modules to build a complete foundation
A sequence designed to take you from understanding to building solutions.
01
Understand and converse
What AI really is
- Definition and limits
- Your first conversations with AI
- Prompt engineering fundamentals
02
Bring it into your routine
Research, knowledge and verification
- Source-grounded research
- AI in your routine
- Multimodal content creation
03
Move beyond the idea
Vibe coding and spec coding
- Solution specification
- Data analysis with AI
- Automation and workflows
- Agents, APIs and AI applications
Responsible AI and specialization choice
Privacy, security, copyright, bias and responsible use come into practice before specialization.
Phase 2
Specialization choice
After experimenting, you choose the area that best fits your goals and keep evolving with specialists.
AI for Development
Create sites, apps, copilots and agents using spec coding and APIs.
AI for Data
Explore, interpret and communicate data for clearer decisions.
AI for Marketing & Content
Plan campaigns, content and communication journeys with AI.
AI for Business Automation
Connect tools, data and agents to automate processes.
AI for Productivity & Leadership
Apply AI to planning, communication, decisions and productivity.
Who it's for
Two ways to use what you learn
For those who build
Professionals who want to apply AI to their own work, career or business — with concrete builds and an experiment portfolio.
For those who guide
Leaders and managers who need to understand AI enough to guide responsible adoption and make better decisions.
Participation
Individual or for the company
Individual
The primary AI Start path: work, career, business, leadership, portfolio and specialization.
For the company
A secondary path for organizations: common foundation, applied literacy, experimentation and case identification for specialization.
What you'll know how to do
- Converse with AI with clear, verifiable instructions
- Research and verify sources with confidence
- Create multimodal content
- Analyze data and communicate decisions
- Automate routines
- Specify a solution or agent
- Choose where to go deeper
Where AI Start fits
AI Start × HIC × Living Lab
AI Start
AI Start — foundations, experimentation, repertoire and choice. Start here while you're still exploring.
HIC / Formação Executiva
HIC / Executive Training — a real problem + domain depth + a cumulative project. For those who already have a challenge to solve.
AI Living Lab
AI Living Lab — diagnosis and assisted organizational transformation. For the organization, not the individual.
Explore first, build to learn and choose where to go deeper afterwards.
FAQ
Before the first step
Do I need to know how to code?
No. AI Start starts from the fundamentals and introduces development, data and automation in an accessible way, using AI as support during practice.
Do I need to pick a specialization beforehand?
No. You first experiment with the five paths and, at the end of the foundation, choose the area most aligned with your goals.
Do I need to pay for any extra tools?
No. Activities are planned for the free versions of the presented tools. Paid plans are optional.
Will I build projects?
Yes. Activities include reusable prompts, verified research, multimodal content, data analysis, automation and specifying an AI solution.
What's the difference from a HIC?
AI Start is foundations and exploration. HIC starts from a real problem and goes deeper in a domain with a cumulative project.
Start building with AI
You don't need prior experience. You just need to be willing to learn and practice.
