AI Course | ISDN Education
AI learning for curious minds

Learn AI. Build AI Agents. Create the Future.

Explore Artificial Intelligence, master powerful AI tools, and learn how to build intelligent AI Agents through practical, student-friendly learning experiences.

  • Understand Artificial Intelligence
  • Learn Practical AI Tools
  • Explore and Build AI Agents
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Learn by makingIdeas, tools, guided projects
Learn by doing

Explore AI Tools, Build AI Agents, Create Real-World Projects

Get hands-on with a wide range of AI tools and agent workflows, then put your learning into practice through projects inspired by real-world applications.

50+

AI Tools

Learn to explore and use 50+ AI tools for learning, creativity, research, and productivity.

20+

AI Agents

Learn about 20+ AI Agents and how agent workflows can help complete multi-step tasks.

Real-World Projects

Put your learning into practice by creating projects inspired by real-world AI applications.

Practical tools

Discover the AI Tools That Make Learning Smarter

Use a tool for a clear purpose: to learn, research, design, or organize. Compare its output with trusted material and follow your school’s rules.

No Code Tool

Explore visual, no-code platforms to create simple apps and automate tasks without writing code.

Learning outcome: build useful digital projects with visual tools.

Logo Design Tool

Use AI design tools to explore logo ideas, colors, and visual styles for a project or brand.

Learning outcome: develop and refine a visual identity.

Video Generation Tool

Turn a script or prompt into a short video concept, then review and improve the result.

Learning outcome: plan and create engaging video content.

Website Designing Tool

Explore AI-assisted website design to plan page layouts, choose visual styles, and build a simple site.

Learning outcome: turn an idea into a clear website layout.

Image Generation Tool

Turn a descriptive prompt into a visual concept, while respecting consent, copyright, and provider rules.

Learning outcome: write precise creative prompts.

AI Productivity Tools

Organize information, group notes, or plan a set of tasks with a suitable productivity assistant.

Learning outcome: make work easier to review and manage.

Tool features, availability, age requirements, privacy terms, and pricing may change and can vary by provider, region, and subscription plan. Check current terms with a parent or teacher.

Featured learning

Go Beyond AI Tools. Learn to Build AI Agents.

An AI Agent is a system configured to work toward a defined goal. It can combine instructions, context, and connected tools to handle steps in a workflow—and may request human approval where appropriate.

AI Chatbot

A conversational assistant is useful when a person asks for a response, explanation, or suggestion.

  • Responds to questions
  • Provides explanations and suggestions
  • Primarily focuses on conversation

AI Agent

An agent workflow can coordinate a defined set of steps when its tools, permissions, and checks are configured.

  • Works toward a defined goal
  • Can use connected tools when configured
  • Can follow multi-step workflows
  • Can retrieve and process permitted information
  • Can automate selected tasks with suitable permissions
Agent workflow

Learn How AI Agents Think, Plan, and Execute Tasks

Study the parts of an agent workflow—and where people should set limits, check results, and approve consequential actions.

Goal
Instructions
Context
Planning
Tool usage
Action
Result
Evaluation

Instructions and goals

State what the system should accomplish, what is out of scope, and how success will be checked.

Context and memory

Provide relevant information. Memory is limited by the design and should not be treated as unlimited or always accurate.

Planning and logic

Divide a task into manageable steps, use conditions where needed, and test what happens when a step fails.

Tools, tests, and approval

Connect only required tools, evaluate outputs, limit permissions, and ask a person to approve sensitive actions.

Example — educational research: A research agent receives a topic, looks for information in approved sources, drafts a structured summary, checks that links and claims are present, then presents the work for a student to review. The student verifies the facts and writes in their own words.
Guided project ideas

Build Practical AI Projects, Not Just Theoretical Knowledge

These educational examples help learners practice designing a workflow, deciding what to check, and explaining how the system works.

AI Study Assistant

Organize study material and answer questions from approved learning resources.

Skills: context, retrieval, clear prompting

Try: ask it to make a short revision outline from a teacher-provided chapter.

AI Research Assistant

Gather relevant information from selected sources and prepare a structured summary.

Skills: source selection, summarization, verification

Try: compare two approved sources and list their key points.

AI Content Workflow Agent

Support drafting, reviewing, and organizing educational content with a human editor.

Skills: workflow stages, review, editing

Try: turn a class topic into a draft outline for a student to improve.

AI Customer Support Agent

Demonstrate how a support assistant can respond using an approved knowledge base.

Skills: knowledge sources, boundaries, escalation

Try: answer common academy questions and route unknown ones to a person.

AI Task Automation Agent

Organize repetitive activities into a multi-step workflow with checkpoints.

Skills: decomposition, conditions, testing

Try: label example tasks and prepare a review list—without sending anything.

AI Productivity Assistant

Help organize notes, plan tasks, and suggest priorities for a person to confirm.

Skills: structured input, prioritization, human review

Try: group a sample set of school tasks by topic and deadline.

These are learning project ideas, not production-ready services. Deployments may need APIs, integrations, security controls, privacy review, and paid services.

Learning journey

From AI Beginner to AI Project Creator

A beginner-friendly progression from core ideas to responsible, guided project building. Specific schedules and course details should be confirmed with the academy.

1

AI Foundations

  • Understand AI concepts
  • Learn essential terminology
  • Explore everyday AI applications
2

AI Tools

  • Practice effective prompting
  • Explore research and productivity tools
  • Create educational and creative outputs
3

AI Agents

  • Understand agent architecture
  • Explore workflows and tool integrations
  • Learn instructions, conditions, and planning
4

Practical Projects

  • Build a guided AI project
  • Test and improve the workflow
  • Present the project and explain how it works

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