Agentic AI for students

Learn how to use agentic AI properly

Filling the educational gap

Agentic AI is rapidly reshaping how we learn and work.

Despite its growing importance, there is little structured guidance available on using Agentic AI.

  • AI tools are already transforming how students write, research, revise, and organise their thinking.
  • Schools and universities have yet to meaningfully integrate these tools into their curricula
  • Many students are left to navigate this shift independently — often developing inefficient habits or misunderstandings that limit their potential.
Future-proof yourself

Take advantage of this watershed technology

Learning agentic AI now means building skills that will define how people work and study for years to come.

  • Develop critical judgement about when AI helps and when it doesn't
  • Build workflows that make you faster and more independent
  • Understand the tools before they become a requirement
Practical learning

A complete introduction for individuals and small groups

Tutoring for individuals and small groups covering the full stack of agentic AI skills. The aim is to help you use AI to reach your own goals.

  • Context engineering: structuring prompts, instructions, and source material
  • Skills and agents: building reusable workflows and automated helpers
  • Second brain note systems: organising knowledge in tools like Obsidian
  • Self-teaching workflows: using AI to quiz, critique, and plan your learning
Experienced tutor

Leading researchers and public in adopting AI

I'm committed to teaching these tools to those who are interested, and have provided agentic AI tutorials across research and education settings.

  • Workshop delivered to 50+ attendees a ClawBio Hackathon
  • Hosting Imperial Agentic AI talk series and workshops
  • Hands-on training with researchers, students, and research managers at UK Dementia Research Institute
  • Open-source tutorial and video series used as teaching material

Open materials

See the tutorial site and workshop series already available.

Open-source tutorial

Agentic AI in life sciences tutorial

A public tutorial site built for a non-technical science audience at Imperial, used as supplementary material for workshops I've hosted.

Preview of the Agentic AI in Life Sciences tutorial website
Open tutorial site

The programme

Example weekly schedule across 5 weeks to provide a basic understanding of agentic AI.

0

Intro call and meeting

Key first conversation to understand the student, their subjects, their current AI use, and what the programme should focus on.

1

Introduction to agentic AI tools

Basic introduction to AI tools, security and privacy reassurances, key terms and concepts and a first working project.

2

Context engineering

Context engineering is a key skill to improve the quality of agentic systems. We will learn how to structure prompts, connect resources, and develop constraints so the model gives better answers.

3

RAG, skills, and agents

Retrieval Augmented Generation (RAG) requires a web of agents, skills, workflows, and source material through Model Context Protocol (MCP). We will learn how to access these resources from publicly available portals (PubMed) and open-source projects (GitHub).

4

Building a second brain

We will build a knowledge network of notes, agents and skills to build a robust resource of your own knowledge. This can be leveraged for self-testing, producing visualisations, providing extra reading and presentations. We will use the open-source Obsidian package or can connect to pre-existing note-taking programs.

5

Teaching yourself with AI

Learn how to work in tandem with AI to iteratively critique your work, reflect ideas and develop plans.

Jay Moore

About Jay

I’m a PhD researcher at Imperial College London working in computational biology and AI at the UK Dementia Research Institute. Alongside research, I build agentic tools, run workshops, teach hackathon sessions, and help people adopt these systems in ways that are actually useful.

The aim here is not to make students dependent on AI. It is to help them understand the tools, use them appropriately, and build better workflows for learning, organisation, writing, research, and revision.

Get started

Plan a first session around the student’s real work.

Email to plan first session Message on LinkedIn