AI & Agent Foundations
AI literacy, generative AI, prompting, tools, memory, basic agents, responsible use, and a first project.
Start Level 1 →Follow practical weekly learning paths from AI literacy and generative AI foundations to agent building and production systems. Start without coding, then grow as technical as you want.
Why AgenticEd Exists
AgenticEd closes two gaps at once: helping the next generation grow up understanding AI, and helping everyone else catch up — without either group needing to become a programmer first.
AgenticEd's mission is to make artificial intelligence understandable and usable for everyone. We help children and students build AI literacy alongside their coursework — ethically, and never as a substitute for their own thinking — while equipping career transitioners, developers, non-coders, and researchers across our wider community to apply AI independently and responsibly in their own work.
We envision a future where AI fluency is not determined by age, background, or technical skill — where a student, a career changer, an experienced developer, and a first-time non-coder can all build the same judgment and confidence to use AI well, at whatever depth they choose to go.
AgenticEd begins with accessible AI literacy, adds a Python bridge for technical learners, and progresses toward reliable agentic systems.
AI literacy, generative AI, prompting, tools, memory, basic agents, responsible use, and a first project.
Start Level 1 →Python, APIs, JSON, structured outputs, semantic search, RAG, tools, state, memory, and evaluation.
Preview the path →Architecture, orchestration, multi-agent patterns, security, observability, evaluation, and deployment.
See the roadmap →Each week combines a concept, experiment, activity, quiz, and portfolio artifact. Complete it in six weeks or move at your own pace.
Distinguish automation, AI, machine learning, generative AI, and agents. Then map the Think → Act → Observe loop.
How Large Language Models actually work. Why they hallucinate. How to write prompts that get real results — not vague, generic answers.
Why a bare LLM is limited — and how tools and memory transform it. Web search, calculators, databases. RAG explained simply.
Move from one response to a controlled workflow. Explore orchestrators, workers, handoffs, failure propagation, and human checkpoints.
This is the one. Build, test, break, iterate, and demo your own working AI agent using free no-code tools. No coding. Just a browser.
What can go wrong with AI agents. Who is responsible. The ethics of autonomous systems. And where careers in AI are actually heading.
No coding required. Using free, browser-based tools. Each one is a real, working AI agent you can show to anyone.
Give it a topic. It researches, summarizes findings, and generates 3 follow-up questions worth exploring. Useful for papers, projects, and curiosity.
Tell it your subject and weak areas. It generates a personalized study plan with specific topics, time blocks, and practice questions tailored to you.
Give it a genre, theme, and length. It writes a short story, then switches roles to critique its own writing. Self-evaluating AI in action.
Meet your instructors
AgenticEd connects accessible explanations with the engineering judgment required to build dependable AI applications.
AI Platform Architect & Senior Data Scientist
Jothsna builds production agentic AI systems at enterprise scale and created AgenticEd to make the technology understandable, practical, and responsible for new learners.
Associate Director of Technology · Raymond James Financial
Nithesh leads the engineering team behind securities back-office infrastructure, bringing experience in technology leadership, dependable financial systems, and production engineering to AgenticEd.
Free Resources
Reference tools, planning aids, and support pages — all free, no login required.
AgenticEd works as a classroom unit too. Email us to receive lesson plans, worksheets, and a facilitation guide for running this as a 6-week course.
Begin with Week 1 or open your private, device-local dashboard to continue where you left off.
Your progress, quiz results, and portfolio notes stay in this browser.
Open My Dashboard →