AI for Devs and Engineers
Ship faster. Build smarter. Let AI handle the boilerplate.
Developers, software engineers, tech leads, solution architects and product teams
Your team is using AI tools reactively, without a strategy.
Copy-pasting from ChatGPT without understanding how to get better outputs. Ignoring Copilot suggestions that could save hours. Missing the shift to agentic workflows that will define the next generation of development.
Developers who use AI as a copilot deliver more, with fewer bugs and more space to think about architecture, product and innovation. The tools already exist and adoption is already happening. This training prepares the team to work with AI intentionally, not just reactively.
What it costs to not act now
- Hours wasted on tasks AI already solves
- Slower decisions while competitors move faster
- Disengaged professionals burdened by operational overload
- Missed opportunities from lack of real-time data analysis
- Operational costs that could be drastically reduced
What your dev team will unlock
Concrete, measurable results. No empty promises.
2x increase in individual development speed
Significant bug reduction with AI-assisted code review
Automatically generated technical documentation
Tests written faster with greater coverage
Developers more focused on architecture and less on boilerplate code
Who is this track for?
This training was designed for professionals who want to use AI practically and immediately in their work, with no prior technical knowledge required.
- Junior, mid and senior developers
- Software engineers and tech leads
- Solution architects
- Product and engineering managers
- DevOps and platform engineers
AI for Devs and Engineers
Training built from the inside out for your sector. Every example, use case and hands-on exercise is developed with the reality of Devs & Engineers in mind.
How the training works
A 5-phase methodology, from literacy to real behavior change. Applied to the specific context of Devs & Engineers.
100% contextualized content
All examples and exercises come from the Devs & Engineers universe. No generic analogies.
Hands-on from day one
Each module has practical exercises. You leave the training with prompts, templates and workflows ready to use.
Measurable results
We define metrics before the training to measure the real impact in the weeks that follow.
Full track: modules and content
6 modules, 18 practical lessons. Total workload: 24h.
01 Module 1: The Developer in the AI Era
- The AI tool ecosystem for devs
- GitHub Copilot and Cursor in practice
- Advanced Prompt Engineering for code
02 Module 2: Development with AI as Copilot
- Code generation, review and refactoring with AI
- Automated tests generated with AI
- Debugging and problem solving with AI
03 Module 3: Documentation and Quality with AI
- Automatic technical documentation with AI
- AI-assisted code review
- Creating ADRs and architecture documentation with AI
04 Module 4: Building with AI and AI Agents
- Fundamentals of AI Agents and Agentic AI
- Building your first agent with LangChain / Crew AI
- Integrations and automations with N8N and AI agents
05 Module 5: Prompt Engineering from Basic to Advanced
- Prompt fundamentals: structure, context and clear instruction
- Advanced techniques: chain-of-thought, few-shot, ReAct and meta-prompting
- Prompt Engineering for code: generation, review, debugging and architecture with LLMs
06 Module 6: Data Governance and Responsible AI
- Data security in AI-assisted development: what not to send to the LLM
- Licenses, intellectual property and AI-generated code
- AI safety best practices, observability and compliance in AI-powered systems
Want the full curriculum as a PDF or a custom proposal for your company?
Request a proposalPaolo Almeida
Innovation strategist with 19 years of experience in digital transformation and technology. Specialized in making AI accessible and applicable to teams in any area, no jargon, no unnecessary technicalities.
Has trained over 6,000 professionals across more than 60 companies, from startups to multinationals. Speaker, mentor and a leading reference in applied business AI in Brazil.
View full profileCommon questions about this training
Answering the most common questions about the Devs & Engineers track.
What tools does the training cover?
GitHub Copilot, Cursor, Claude, ChatGPT, LangChain, CrewAI, N8N and more, all applied to real development workflows.
Is it suitable for both junior and senior developers?
Yes. The training has progressive levels: juniors build confidence with AI tools while seniors dive into advanced topics like agents and agentic workflows.
Will we build real projects during the training?
Yes. Each participant builds and deploys at least one working AI agent or automation during the training.
Does the training cover AI security and code privacy?
Yes. A complete module covers what should never be sent to external LLMs, IP and license considerations for AI-generated code, and observability practices.
Can the training be customized for our specific tech stack?
Yes. We adapt the content to the team's stack, architecture and current AI adoption maturity.
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Training for companies of all sizes · In-person and remote · Customized for your sector