Summary of "Fundamentos da IA: o que todo educador da educação profissional precisa saber para começar?"

Summary of “Fundamentos da IA: o que todo educador da educação profissional precisa saber para começar?”

This webinar is the first in a 10-part series organized by SENAC Nacional to promote artificial intelligence (AI) literacy among professional education educators. The series aims to explore the impacts of AI on education and the labor market, introduce digital tools and resources, and support educators in integrating AI into their pedagogical practices.

Main Ideas and Concepts

1. Introduction and Context (Daniele Lordelo & Daniela Pessanha)

SENAC is committed to strengthening AI knowledge and practice among educators nationwide.
The webinar series features weekly 1-hour sessions with external experts and regional SENAC/SESC representatives.
The initiative includes partnerships with leading tech companies (NVIDIA, Microsoft, Google, etc.) and academic institutions.
Participation requires attending at least 7 out of 10 sessions for certification via the Saber Senac platform.
Professional education has unique characteristics that must be considered when applying AI concepts.
The series will provide a broad overview of AI’s role in education and the workforce.

2. NVIDIA’s AI Ecosystem and Platform (Fábio from NVIDIA)

NVIDIA provides hardware (GPUs) and software platforms that accelerate AI computing, enabling advanced AI applications.
AI has existed conceptually for decades, but recent advances in data availability and computing power have enabled practical solutions.
NVIDIA’s ecosystem includes:
- GPUs and supercomputers for high-performance computing.
- Software acceleration libraries (CUDA) and domain-specific tools (e.g., MONAI for medical imaging, Riva for speech recognition).
- Open-source platforms for researchers and developers.
- Blueprints and microservices to facilitate AI adoption in various industries.
NVIDIA supports education through:
- Developer programs and Deep Learning Institute (DLI) with free and paid training.
- Teaching kits developed with global universities.
- University Ambassador programs.
- Startup accelerator program (NVIDIA Inception).
- Repository of optimized software (NGC).
- Global event GTC for AI ecosystem engagement.
SENAC Goiás is a client with access to NVIDIA GPU resources for educational use.
Emphasis on AI as a tool to solve specific business and societal problems.

3. Adapta’s Perspective on AI in Education (Mateus Prado from Adapta)

Adapta is Latin America’s largest AI ecosystem startup focused on democratizing AI access, especially for non-technical professionals.
The company serves over 120,000 students and 100 companies across 60 countries.
AI adoption follows a typical cycle: enthusiasts → visionaries → pragmatists → conservatives → skeptics.
Historical fears of new technology often give way to benefits and new job creation.
Key AI terminology:
- Model: AI system trained for specific tasks (text, image, prediction).
- Prompt: Command or question given to AI.
- Prompt Engineering: Refining prompts for better AI output.
- Context Window: Amount of information AI can process at once.
Types of AI:
- Autonomous AI (independent decision-making).
- Predictive AI (e.g., recommendation algorithms).
- Generative AI (creates new content, especially text).
Generative AI excels at four cognitive tasks summarized by the acronym TAPE:
- Think: Critical thinking and analysis.
- Advance ideas: Brainstorming and creativity.
- Perform learning: Study and knowledge acquisition.
- Express writing: Drafting and revising texts.
Four levels of AI adoption in workflows:
1. Task adoption (simple tasks).
2. Workflow adoption (integrated steps).
3. Workflow automation.
4. Product creation using AI.
Anatomy of a perfect prompt involves:
- Clear intention.
- Detailed instructions.
- Relevant information.
- Iterative feedback and interaction.
Practical example: Using AI to plan an engineering Calculus class with attachments and iterative refinement.
Educators should identify workflows for AI integration by asking:
- What tasks do I lack time for?
- What decisions do I make frequently?
- What creative work do I do most?
AI can assist in lesson planning, student feedback, personalized support, plagiarism detection, content creation, administrative automation, and more.
Adapta aims to centralize AI tools into a single platform for ease of use.

4. Case Study: AI to Reduce School Dropout (Professor Souza, SENAC Goiás)

SENAC Goiás developed a mid-level AI technician course designed for young students (~15-16 years old).
The course includes foundational math, programming logic, cloud computing (with AWS partnership), machine learning, ethics, and strategic information analysis.
NVIDIA GPUs and Microsoft cloud credits are integrated into the curriculum to provide hands-on experience.
Red Hat Academy partnership supports Linux and system administration skills.
A key student project involves creating a predictive AI system to identify students at risk of dropping out:
- The system uses multivariate analysis and machine learning to classify dropout risk (high, medium, low).
- It enables targeted pedagogical interventions based on predicted causes (financial, academic difficulties, motivation).
The project uses tools like Google Colab and NVIDIA GPU clusters.
The initiative demonstrates how AI can address real educational challenges and improve student retention.
The course offers intermediate certifications aligned with national occupational standards (CBOs).

5. Closing Remarks

The webinar series provides diverse perspectives from industry, academia, and regional education departments.
Emphasis on collaboration, innovation, and practical application of AI in professional education.
Encouragement for educators to engage actively and integrate AI into their daily practices.
Next sessions will continue to build on these foundations.

Methodology / Instructions for Educators to Start Using AI

Understand AI Basics:
- Learn key terms: model, prompt, prompt engineering, context window.
- Recognize different AI types: autonomous, predictive, generative.
Adopt AI Gradually:
- Start with simple task adoption.
- Move to integrating AI into workflows.
- Explore automation and product creation as skills advance.
Prompt Engineering:
- Define clear intentions for AI tasks.
- Provide detailed instructions and context.
- Interact iteratively with AI to refine outputs.
Identify Workflows for AI Integration:
- List tasks with high impact and frequency.
- Prioritize tasks that consume time or require frequent decisions.
- Include creative tasks where AI can assist.
Use Available Resources:
- Explore NVIDIA’s Developer and Deep Learning Institute programs.
- Utilize teaching kits and university ambassador programs.
- Access AI platforms like Adapta for centralized tool use.
- Leverage cloud credits and GPU resources where available.
Apply AI in Practical Educational Contexts:
- Lesson planning and preparation.
- Student feedback and personalized support.
- Content creation and plagiarism detection.
- Administrative task automation.
Engage with AI Ethically:
- Understand AI’s societal and ethical implications.
- Stay informed about AI legislation and policies.
Collaborate and Share Experiences:
- Participate in webinars and forums.
- Exchange knowledge with peers and experts.
- Apply learnings to improve teaching and student outcomes.

Speakers / Sources Featured

Daniele Lordelo – Corporate Education Manager, SENAC Nacional
Daniela Pessanha – Responsible for Pedagogical Training, SENAC Nacional
Fábio – Business Manager for Higher Education and Research, NVIDIA Latin America
Mateus Prado – Head of Business Engagement, Adapta (Latin America’s largest AI ecosystem startup)
Professor Souza – Coordinator of IT Programs, SENAC Goiás; AI Researcher and Consultant

This webinar provides a comprehensive introduction to AI fundamentals tailored for professional educators, combining theoretical knowledge, practical applications, and real-world case studies to empower educators in Brazil to embrace AI technologies effectively.