AI course index · page 49

NotebookLM : Produtividade e Aprendizado com IA Generativa

Paulo Andrade, PhD

Use NotebookLM to build knowledge bases, analyze documents and summarize reports and Teams meetings.

NotebookLM de Cero a Experto: Productividad 10x con Google

Data Data

Import sources into NotebookLM, structure information and query a reusable research system with a source-organization lab.

NotebookLM for Administrative Professionals

MonetizeUAI

Organize NotebookLM sources, query grounded notes and produce documents/maps with administrative workflow examples.

NotebookLM ile Verimli Çalışma

İzRehber Akademi

Use NotebookLM to summarize source notes and create structured knowledge and visual learning outputs.

NotebookLM Masterclass: Transform Your Learning with AI

DFA Course Academy / Krystian Wojtarowicz

NotebookLM practice organizes source PDFs, generates notes and structured outputs, and applies prompts to research, text and work scenarios.

NotebookLM Mastery: Organize, Analyze, and Optimize with AI

Anton Voroniuk

• Source organization
• Summaries and cross-source analysis
• Knowledge management
• Action lists
• Shared-workspace routines
• Responsible review

NotebookLM na Prática: Transforme Seus Dados com GEN IA

Everton Araguahy Oliveira Moreira Santos

Create personalized NotebookLM knowledge bases and analyze complex documents with additional automation examples.

NotebookLM: de cero a experto

Juan Guillermo Mesa

Classify corporate document sources and create NotebookLM summaries, presentations and versioned knowledge outputs.

NotebookLM: IA para Estudo, Pesquisa e Produtividade

Kleber Bernardo

Import documents into NotebookLM, ask source-based questions and create organized summaries for research and projects.

NotebookLM入門：情報整理とアイデア発想をAIで加速する

我妻 幸長 Yukinaga Azuma

Use NotebookLM for source organization, reports, slides and business ideation.

NotebookML de 0 a 100 mi segundo cerebro

Fernando Sande

Organize source collections and create multimodal and executive summaries with NotebookLM.

Notion 2026: The All-in-One AI-Powered Productivity System

Video School, Phil Ebiner, Kashif A.

Course curriculum covers Notion projects/tasks/notes/databases, AI summaries and automated workflows.

Notion AI - Workflows, Prompts & Smart Templates

Packt

• Create Notion workspace/task templates
• turn notes into actionable insights
• build project pages, manage tasks and make process templates.

Notion: Organize Life, Work Smarter, Master Notion AI (2026)

DFA Course Academy, Krystian Wojtarowicz, AdaptifyAI - Support

Course syllabus covers Notion project/task databases, AI tags and status updates, team collaboration, deadline reminders and onboarding workflow.

Office Automation with Claude Cowork, Codex & Copilot

Engr. Ziyad Alghamdi

• Office automation briefs and deterministic workflow design
• Power Automate approvals, logging and duplicate prevention
• Cowork/Codex/Copilot artifact handoffs
• Failure-case testing and human decisions

Onboard to Rovo: Create AI agents and automation

Atlassian

Select repeatable tasks for agents, use/build Rovo agents and create basic automations.

Online Crashkurs – KI im Büroalltag

Fraunhofer Institute for Machine Tools and Forming Technology IWU

• Practical ChatGPT use including text generation for invitations, emails and appointment planning
• exercises in creating custom GPTs
• ethics/compliance and image/video generation.

OpenAI Agent Builder – Create, Automate & Launch Agents

Packt

Build visual agent workflows for news, FAQs and classification, then test/evaluate integrations and deployment in OpenAI Agent Builder.

OpenAI Dots: Agente de IA no ChatGPT que Trabalha por Você

Diego Davila / Rodrigo Macedo / Diego Davila Support

Build OpenAI dots workflows for email, calendar and daily briefings through four practical projects and approval controls.

OpenAI GPTs: Creating Your Own Custom AI Assistants

Vanderbilt University

• Three modules introduce Custom GPT instructions, knowledge files/RAG, tools/actions and persona design
• later units cover systematic test cases/benchmarks, clear output patterns and handling ambiguity, knowledge gaps and risky requests.
• Travel-and-business-expense GPT is the recurring example: flights, hotels and transportation within policy/budget and expense/reimbursement processing.