Corporate AI Training Catalog
Your company,
truly intelligent.
AI training programs designed for every area of your company.
From agribusiness to legal, from sales to tech teams.
Practical, applied and measurable training. Our methodology goes from literacy to real results.
19
Years of experience
6K+
Professionals trained
200+
Trainings delivered
60+
Companies impacted
Technologies & Frameworks we use and teach ⚡️
Real, market-ready tools your employees will use the day after the training.
Google Gemini
NotebookLM
Copilot
Claude
N8N
LangChain
LangGraph
CrewAI
Copilot Studio
Power Automate
Agno
Antigravity
Our methodology: from zero to results
Every program follows the same structure. From awareness to real behavior change.
01
Literacy
What AI is, how it works and what is already possible today
02
Awareness
Mapping where AI has the most impact in your context
03
Application
Hands-on with real market tools
04
Results
Concrete deliverables and workflows ready to use
05
Metrics
How to measure the real impact of the training in the company
Training Formats
How do you prefer to learn?
Three generalist formats for any area or industry. From rapid literacy to hands-on practice with real deliverables.
🎤
Keynote
1h – 1h30
General AI Literacy
Ideal for large audiences (1K+). The company wants to discover AI or deliver a broad literacy session with immediate impact and no technicalities.
- What AI is and what it changes at work
- Myths and truths about generative AI
- Real-world cases of AI impact in companies
- The future professional in the AI era
- Introduction to Responsible AI and ethics
In-person or Remote
I want a Keynote
🎯
Masterclass
3 hours
AI in Practice with Impact
Strong theoretical and practical knowledge in a single session. Transforms how the team sees and uses AI, right away.
- Fundamentals and ecosystem of generative AI
- Prompt Engineering: from basic to advanced
- Essential tools in practical use (ChatGPT, Gemini, Claude)
- Real cases and immediate applications by area
- Responsible AI: data privacy and best practices
- Data governance and ethical use of AI
In-person or Remote
I want a Masterclass
🛠️
Workshop
4h – 8h
Hands-on with Real Deliverables
Smaller teams. Practical learning with real group application time and concrete deliverables at the end.
- Prompt Engineering applied to the team's context
- AI tools with hands-on group practice
- Mapping processes with AI opportunities
- Building real workflows and deliverables
- Data Governance and Responsible AI applied
- Individual action plan at the end of the session
In-person or Remote
I want a Workshop Choose the program for your area
Each program is designed with language, examples and tools specific to that area.
💻AI for Devs and Engineers 🤝AI for HR and People Analytics 🚀AI for Sales and Marketing 🏛️AI for Business Leaders 🗂️AI for General Administration 🏥AI for Healthcare 🌱AI in Agro and Industry ⚖️AI for Legal 🌿AI & ESG / Sustainability 📊AI for Finance
💻
Track 01
AI for Devs and Engineers
24h Remote or In-person
Why?
Why invest in this training?
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?
What will change in practice?
- 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
How?
Our learning journey
1
Literacy: The AI ecosystem for development: tools, paradigms and limitations
2
Awareness: Identifying where AI has the most impact in your current stack and workflow
3
Application: GitHub Copilot, Cursor, Claude and GPT integrated into real development flow
4
Results: AI agent projects and automations built during the training
5
Metrics: Team velocity, test coverage, PR review time and technical debt
Full curriculum
Module
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
Module
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
Module
Module 3: Documentation and Quality with AI
- Automatic technical documentation with AI
- AI-assisted code review
- Creating ADRs and architecture documentation with AI
Module
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
Module
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
Module
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
For: Developers...
24h of training
Remote or In-person
🤝
Track 02
AI for HR and People Analytics
16h Remote or In-person
Why?
Why invest in this training?
HR carries simultaneously the most human role and one of the heaviest bureaucratic loads in the company. CV screening, job descriptions, onboarding, internal communications. With AI, these tasks stop consuming the team's time, freeing them to focus on what truly matters: people.
What?
What will change in practice?
- Reduced CV screening time with AI
- Job descriptions and internal communications created in minutes
- More structured, consistent and scalable onboarding
- Data culture in HR: decisions based on evidence
- Improved talent retention with predictive analytics
How?
Our learning journey
1
Literacy: AI applied to people: possibilities and ethical limits
2
Awareness: Where AI can already impact the full people management cycle
3
Application: Practical tools for recruitment, L&D, communication and culture
4
Results: AI-powered hiring workflows, onboarding templates and climate analysis
5
Metrics: Time-to-hire, hiring quality, engagement and turnover
Full curriculum
Module
Module 1: AI in Recruitment and Selection
- AI for CV screening and candidate shortlisting
- Creating job descriptions with AI
- More efficient interviews with AI support
Module
Module 2: AI in L&D and Culture
- Creating training programs with AI
- AI for climate surveys and sentiment analysis
- Internal communications and engagement with AI
Module
Module 3: People Analytics with AI
- People data analysis with AI
- AI for workforce planning and turnover prediction
- HR dashboards with AI-generated insights
Module
Module 4: Prompt Engineering from Basic to Advanced
- Prompt fundamentals: structure, context and clear instruction
- Advanced techniques: chain-of-thought, few-shot and role prompting
- Prompts for HR: job descriptions, feedback, internal policies and climate analysis
Module
Module 5: Data Governance and Responsible AI
- LGPD and protection of sensitive employee data
- Algorithmic bias in recruitment: how to identify and mitigate
- Ethical AI use policies in people management processes
For: HR Business Partners...
16h of training
Remote or In-person
🚀
Track 03
AI for Sales and Marketing
20h Remote or In-person
Why?
Why invest in this training?
Salespeople who use AI sell more, in less time and with less manual effort. Marketing teams produce more content, more targeted, in less time. AI does not replace the salesperson or the creative — it amplifies what they already do well and eliminates the operational work that consumes hours.
What?
What will change in practice?
- Increased individual productivity across sales and marketing
- Reduced proposal and content creation time (from hours to minutes)
- More personalized approaches with higher conversion rates
- Cleaner pipeline with AI-assisted lead qualification
- Campaigns and content generated with AI at scale
How?
Our learning journey
1
Literacy: AI in sales and marketing: what changes, what does not
2
Awareness: Mapping funnel stages where AI generates the most impact
3
Application: Using AI for prospecting, content, follow-up and closing
4
Results: Prompt templates, playbooks and editorial calendars generated with AI
5
Metrics: Conversion rate, cost per lead, sales cycle time, campaign ROI
Full curriculum
Module
Module 1: AI as a Competitive Advantage in Sales and Marketing
- How AI is transforming the commercial and marketing process
- AI tools for salespeople and marketers (ChatGPT, Gemini, Perplexity)
- The augmented professional: human + machine
Module
Module 2: Prospecting, Content and Qualification with AI
- Lead research with AI in minutes
- Creating cold emails, posts and content with AI
- Lead qualification: using AI to focus on the right ones
Module
Module 3: Proposals, Follow-up and Campaigns
- Generating commercial proposals with AI
- Personalized follow-up scripts with AI
- Campaign planning and execution with AI
Module
Module 4: AI for Sales and Marketing Managers
- Performance dashboards and analysis with AI
- Creating playbooks and briefings with AI
- AI-assisted forecasting and result prediction
Module
Module 5: Prompt Engineering from Basic to Advanced
- Prompt fundamentals: structure, context and clear instruction
- Advanced techniques: chain-of-thought, few-shot and role prompting
- Prompts for sales and marketing: cold email, follow-up, proposals and campaigns
Module
Module 6: Data Governance and Responsible AI
- Data protection of customers and leads
- Ethical use of AI in personalization and commercial outreach
- Compliance best practices for AI use in CRM and marketing automations
For: Sales teams...
20h of training
Remote or In-person
🏛️
Track 04
AI for Business Leaders
12h Remote or In-person
Why?
Why invest in this training?
To lead well in the AI era, you do not need to know how to code. But understanding the potential, risks and right applications makes all the difference in strategic decisions. Companies that have already incorporated AI at the leadership level are redesigning their business models with a real advantage over competitors.
What?
What will change in practice?
- More assertive leadership with data and AI-based decisions
- Identification of where AI generates the most value in the company
- Ability to evaluate, hire and monitor AI projects
- Strategic vision to position the company in the AI era
- Innovation culture installed from the top down
How?
Our learning journey
1
Literacy: Executive language of AI: what it is about, without unnecessary technicalities
2
Awareness: How AI is impacting your sector, your competitors and your customers
3
Application: Frameworks for strategic decision-making with AI, personal use of executive tools
4
Results: AI adoption roadmap for the company, priorities and quick wins
5
Metrics: ROI of AI initiatives, time-to-value and organizational AI maturity
Full curriculum
Module
Module 1: Executive AI, Vision and Strategy
- What leaders need to know about AI in 2026
- Real transformation cases driven by AI across sectors
- AI risks, ethics and governance for leaders
Module
Module 2: Strategic Decisions with AI
- How to use AI for market and competitor analysis
- AI as a decision tool: practical frameworks
- Personal use of AI for leaders: from email to planning
Module
Module 3: Transforming the Company with AI
- How to map and prioritize AI use cases in the company
- Building an AI adoption roadmap
- AI culture: how to engage the entire team
Module
Module 4: Prompt Engineering from Basic to Advanced
- Prompt fundamentals: structure, context and clear instruction
- Advanced techniques: chain-of-thought, few-shot and role prompting
- Prompts for leadership: strategic synthesis, scenario analysis and decision-making with AI
Module
Module 5: Data Governance and Responsible AI
- AI ethics, risk and regulation: what every leader needs to know
- Responsible AI use policies within the company
- How to create an AI governance committee and ensure organizational compliance
For: CEOs...
12h of training
Remote or In-person
🗂️
Track 05
AI for General Administration
14h Remote or In-person
Why?
Why invest in this training?
The administrative sector concentrates most of the repetitive tasks in any company. Documents, emails, spreadsheets, scheduling. All of this can be done much more efficiently when the team learns to use AI in their daily routine. The practical result is simple: hours recovered every week.
What?
What will change in practice?
- Reduction in repetitive manual tasks
- Documents, emails and communications produced in a fraction of the time
- Fewer errors, more standardization and quality in deliverables
- More valued professionals focused on strategic tasks
- Faster and better-documented onboarding and internal processes
How?
Our learning journey
1
Literacy: AI in daily administrative work: what already works today
2
Awareness: Identifying the team's tasks that AI can optimize
3
Application: Practical use of AI for emails, documents, spreadsheets and research
4
Results: Creating reusable templates and workflows with integrated AI
5
Metrics: Hours saved per week, internal NPS, deliverable quality
Full curriculum
Module
Module 1: AI in the Office - First Steps
- AI tools for immediate use in admin
- How to give efficient instructions to AI (prompts)
- AI for researching, summarizing and organizing information
Module
Module 2: Productivity with AI
- Creating emails, communications and meeting minutes with AI
- Document formatting and revision with AI
- AI in Excel and Google Sheets: formulas, analysis and automation
Module
Module 3: Simple Workflows and Automations
- Automating repetitive tasks with AI (no coding)
- AI for scheduling and calendar management
- Building smart templates for your sector
Module
Module 4: Prompt Engineering from Basic to Advanced
- Prompt fundamentals: structure, context and clear instruction
- Advanced techniques: chain-of-thought, few-shot and role prompting
- Prompts for admin: emails, meeting minutes, communications, reports and spreadsheets
Module
Module 5: Data Governance and Responsible AI
- Handling internal and third-party data safely with AI
- What not to share with external AI tools
- Best practices for safe and responsible AI use in daily operations
For: Administrative assistants...
14h of training
Remote or In-person
🏥
Track 06
AI for Healthcare
16h Remote or In-person
Why?
Why invest in this training?
Healthcare is one of the sectors with the greatest AI impact potential. Smart records, diagnostic support, bed management and automated reporting are already a reality at leading institutions. For professionals, AI does not replace the human touch — it frees up more time for what only a healthcare professional can provide: presence, empathy and clinical judgment.
What?
What will change in practice?
- Reduced time for clinical documentation and reporting
- Evidence-based clinical decision support with AI
- More efficient hospital administrative management with AI
- Clearer and more accessible communication with patients
- Healthcare professionals with more time for direct care
How?
Our learning journey
1
Literacy: AI in healthcare: what is already real and what is still science fiction
2
Awareness: Mapping clinical and administrative processes with the greatest AI potential
3
Application: AI tools for documentation, clinical research and hospital management
4
Results: AI-powered workflows for anamnesis, reports, protocols and patient communication
5
Metrics: Average care time, record quality, patient satisfaction
Full curriculum
Module
Module 1: AI in Healthcare — Overview and Possibilities
- How AI is transforming hospitals, clinics and health insurers
- Accessible AI tools for healthcare professionals
- AI in diagnosis, medical imaging and clinical support: where we are
Module
Module 2: Clinical Productivity with AI
- Patient record and anamnesis documentation with AI
- Generating reports, assessments and clinical opinions with AI
- AI for evidence-based research and clinical protocols
Module
Module 3: Hospital and Administrative Management with AI
- AI for scheduling, bed management and patient flow
- Patient and family communication with AI support
- Billing and regulatory process optimization with AI
Module
Module 4: Prompt Engineering from Basic to Advanced
- Prompt fundamentals: structure, context and clear instruction
- Advanced techniques: chain-of-thought, few-shot and role prompting
- Prompts for healthcare: reports, anamnesis, patient communication and clinical research
Module
Module 5: Data Governance and Responsible AI in Healthcare
- Privacy regulations and protection of sensitive patient health data
- Clinical and legal responsibility in AI-assisted diagnosis and treatment
- How to implement ethical and safe AI use policies in healthcare institutions
For: Physicians...
16h of training
Remote or In-person
🌱
Track 07
AI in Agro and Industry
16h Remote or In-person
Why?
Why invest in this training?
Tight margins, manual process dependency and decisions based on empirical experience. Both agro and industry face the challenge of operating more efficiently without losing quality. AI is already in the field and in factories in leading countries. Brazil has the chance to use this as a competitive advantage.
What?
What will change in practice?
- Reduced time for agronomic and industrial data analysis
- Faster decision-making based on real data
- Automated operational reports and communications
- AI for crop forecasting, predictive maintenance and demand planning
- More productive teams with less operational rework
How?
Our learning journey
1
Literacy: What AI is, what it can and cannot do in the agro and industry context
2
Awareness: Mapping your team's tasks that can be optimized with AI
3
Application: Practical use of tools like ChatGPT, Gemini and Copilot in daily operations
4
Results: Sector-specific prompts, automations and workflows
5
Metrics: Hours saved/week, error reduction, process agility measured
Full curriculum
Module
Module 1: AI Fundamentals for Agro and Industry
- What AI is and how it is already in the field and factories
- Accessible AI tools for rural and industrial operations
- AI in agribusiness and industry: real cases in Brazil and worldwide
Module
Module 2: Productivity with AI
- Operational report generation with AI
- Crop, soil and production data analysis with AI
- Automating communication with cooperatives, suppliers and clients
Module
Module 3: Strategic AI in the Field and Factory
- Market trend forecasting with AI
- Predictive maintenance and asset management with AI
- Creating virtual assistants for rural and industrial management
Module
Module 4: Prompt Engineering from Basic to Advanced
- Prompt fundamentals: structure, context and clear instruction
- Advanced techniques: chain-of-thought, few-shot and role prompting
- Prompts for agro and industry: reports, forecasting and data analysis
Module
Module 5: Data Governance and Responsible AI
- Data privacy in agribusiness and industry
- Ethical use of production, climate and supplier data with AI
- Governance best practices for AI-assisted decisions
For: Rural producers...
16h of training
Remote or In-person
⚖️
Track 08
AI for Legal
16h Remote or In-person
Why?
Why invest in this training?
The legal sector deals with growing volumes of documents, tight deadlines and research that consumes hours. AI does not replace the lawyer; it expands what they can accomplish in the same time. Contracts reviewed faster, research in minutes and higher quality, consistent legal documents.
What?
What will change in practice?
- Reduced time for contract review and analysis
- Case law research in minutes instead of hours
- Higher quality legal documents in less time
- Risk reduction with AI-assisted clause analysis
- Legal department that is more strategic and less operational
How?
Our learning journey
1
Literacy: AI and law: what changes, what remains and what the law says
2
Awareness: Mapping legal tasks with high AI potential
3
Application: Legal AI tools: contract analysis, research and document generation
4
Results: Legal workflows with AI, responsible use playbooks
5
Metrics: Hours per contract, research time, legal backlog and cost per demand
Full curriculum
Module
Module 1: AI and the Legal World
- How AI is transforming law firms and legal departments
- AI tools for lawyers and analysts
- Ethics and responsibility in AI use in law
Module
Module 2: AI in Legal Practice
- Contract analysis and review with AI
- Legal research and case law with AI
- Generating legal documents, opinions and briefs with AI
Module
Module 3: Legal Processes and Strategy with AI
- AI for deadline and demand management
- Compliance and risk management with AI
- Building an intelligent legal department
Module
Module 4: Prompt Engineering from Basic to Advanced
- Prompt fundamentals: structure, context and clear instruction
- Advanced techniques: chain-of-thought, few-shot and role prompting
- Prompts for legal: contract analysis, case law research and document generation
Module
Module 5: Data Governance and Responsible AI
- Confidentiality, professional privilege and AI use in law
- AI regulation: what is already in force globally
- How to implement responsible AI use policies in the legal department
For: Lawyers...
16h of training
Remote or In-person
🌿
Track 09
AI & ESG / Sustainability
14h Remote or In-person
Why?
Why invest in this training?
ESG reporting requirements grow every year. Investors, regulators and clients demand accurate data and real transparency. With AI, it is possible to collect, organize and analyze environmental, social and governance data with far more agility, consistency and depth — turning ESG from a compliance obligation into a competitive advantage.
What?
What will change in practice?
- ESG reports produced faster and more consistently
- Environmental and social data collection and analysis automated
- AI-powered identification of ESG risks and opportunities
- Clearer impact communication to investors and stakeholders
- More agile and documented regulatory compliance
How?
Our learning journey
1
Literacy: AI applied to ESG: what is already possible and how the sector is evolving
2
Awareness: Mapping ESG processes that benefit most from AI
3
Application: AI tools for ESG data collection, analysis and reporting
4
Results: ESG report templates, dashboards and automated workflows with AI
5
Metrics: Report production time, data quality, indicator coverage
Full curriculum
Module
Module 1: AI and the ESG Universe
- How AI is transforming the corporate sustainability agenda
- AI tools for ESG analysts and managers
- AI for climate risk analysis and socio-environmental impact assessment
Module
Module 2: ESG Data and Reporting with AI
- Automated ESG data collection and structuring with AI
- Generating GRI, SASB and TCFD reports with AI support
- Scope 3 emissions and value chain analysis with AI
Module
Module 3: Strategy and Impact Communication with AI
- AI to identify ESG opportunities and risks in the business
- Impact communication to investors and stakeholders with AI
- Automated ESG regulation monitoring and compliance
Module
Module 4: Prompt Engineering from Basic to Advanced
- Prompt fundamentals: structure, context and clear instruction
- Advanced techniques: chain-of-thought, few-shot and role prompting
- Prompts for ESG: reports, environmental data analysis and impact communication
Module
Module 5: Data Governance and Responsible AI in ESG
- Integrity and traceability of ESG data generated with AI
- Greenwashing risk in AI use: how to avoid it
- Governance and compliance best practices for AI use in sustainability
For: ESG managers...
14h of training
Remote or In-person
📊
Track 10
AI for Finance
16h Remote or In-person
Why?
Why invest in this training?
The financial sector lives on precision, speed and data. With AI, analyses that take hours now take minutes. Recurring reports become automated. Anomalies appear before closing. The result is a team with more time for strategic decisions and less time stuck in spreadsheets.
What?
What will change in practice?
- Financial reports generated in a fraction of the current time
- More accurate variance analysis and AI-powered forecasting
- Anomaly and error detection before month-end closing
- Reduced rework with automation of recurring processes
- CFO and financial leadership with more data for strategic decisions
How?
Our learning journey
1
Literacy: AI in finance: from basics to advanced, without unnecessary technicalities
2
Awareness: Mapping financial processes with the greatest automation potential
3
Application: AI for Excel/Sheets, data analysis, reports and forecasting
4
Results: Automatic dashboards, AI-generated analyses and more agile closing workflows
5
Metrics: Monthly closing time, forecast accuracy, errors avoided, analysis hours
Full curriculum
Module
Module 1: AI Applied to the Financial Sector
- The impact of AI on corporate finance
- AI tools for analysts and controllers
- Automating recurring reports with AI
Module
Module 2: Analysis and Forecasting with AI
- AI for financial data analysis and variances
- Forecasting and budget planning with AI
- Anomaly and fraud detection with AI
Module
Module 3: Strategic Finance with AI
- AI for M&A, valuation and investment analysis
- Financial communication and presentations with AI
- Compliance, audit and governance supported by AI
Module
Module 4: Prompt Engineering from Basic to Advanced
- Prompt fundamentals: structure, context and clear instruction
- Advanced techniques: chain-of-thought, few-shot and role prompting
- Prompts for finance: variance analysis, forecasting, reports and anomaly detection
Module
Module 5: Data Governance and Responsible AI
- Data privacy, financial confidentiality and AI tools
- Traceability and auditability of AI-assisted decisions
- Compliance and internal controls in AI adoption for finance
For: Financial analysts...
16h of training
Remote or In-person
Why train with Paolo Almeida?
19 years as a developer and technology leader
The content comes from practice. Every tool taught has been tested in real projects, with real teams.
Proprietary AI literacy methodology
From Agribusiness to Legal, every training is adapted to the language, challenges and tools of that area.
Unique AI literacy methodology
Proven track record of impact in major companies, with documented evaluations and results.
Straight to the point, no fluff
We start with what you will use tomorrow. No long theoretical introductions. Focused on real market tools.
Measurable metrics and return
Each program has impact metrics defined before it starts, so the company can objectively track the return.
Customization per client
Content is adapted with real sector cases and tools that make sense for the company's context.
Companies that have already trusted us
Let's talk about your company
Ready to bring AI
to your team?
Every company has unique challenges. In a 30-minute conversation we can understand your team's context and build a proposal with the right programs, format and depth for you.
Training for teams of 5 to 500 people. In-person, remote or hybrid format.