The short answer
Agentic AI training teaches you to build AI systems that plan, use tools and act on their own, rather than simply answering prompts. Good training is hands-on: you leave with working code, not slides. Sensiwise AI runs practical agentic AI training in the UK for engineers, data scientists, developers and researchers, including our two-day masterclass at the University of Essex delivered with KAUST Academy.
If you are searching for an AI agent course for yourself or your team, this guide explains what to expect, what a strong programme covers and how to choose a provider.
Why agentic AI skills matter now
Most organisations already use AI as an assistant. Someone asks a question, the model answers, and a person handles the rest. That is useful, but it leaves most of the work with people. An AI agent goes further. Give it a goal, and it decides which steps to take, which tools or data to use and when to hand over to a human. Imagine an agent that fetches a client report, checks it against your own data, writes a summary and flags anything unusual. No one has to prompt it at each step. The gap is skills, not technology. Frameworks such as LangChain and LangGraph are freely available. What teams lack is the know-how to connect models to their own data, design reliable multi-step logic and add guardrails so an agent does not act beyond its remit. That is exactly what agentic AI training should fix.
What good agentic AI training covers
On 1–2 October 2026, Sensiwise AI ran Beyond Automation: Build AI Agents That Think, Decide, and Act, a two-day industry masterclass at the University of Essex. It was part of the East AI Studio initiative, with the core technical curriculum developed by Sensiwise AI & the University of Essex, and delivered by KAUST Academy, the training arm of King Abdullah University of Science and Technology. It shows what we believe strong agentic AI training looks like.
Day 1: foundations and design
- From rule-based systems to agentic AI: what actually changes, and when an agent is the wrong tool
- Agent and RAG components: planning, memory, tool use and retrieval
- Lab 1: build a retrieval-augmented generation (RAG) pipeline that answers from your own documents
- Lab 2: build a data analyst agent that explores a dataset and reports back
Day 2: development and deployment
- Lab 3: a research agent using agentic RAG to find, judge and combine sources
- Lab 4: A team of agents
- Capstone: teams build an agent for a realistic business problem, such as customer support, IT incident triage or performance analysis, then present it to a panel
Participants worked with LangChain and LangGraph, compared small open-source and closed-source models, and ran everything in browser-based notebooks. Each capstone was judged on business value, agent design, a working demo, trust and safety, and the pitch. Delegates kept their code and received a University of Essex certificate.
Who agentic AI training is for
Our programmes are designed for business leaders and technical people who want to build, not just understand:
- Business leaders and C-suite audience
- AI engineers and data scientists moving from single prompts to multi-step agents
- Software developers adding AI features to products and internal tools
- Technical professionals automating information-heavy work
- Academic researchers and postgraduate students applying agents in their field
Formats. Sensiwise AI offers public masterclasses with university partners and training tailored to a single organisation, where the labs and capstone can be built around your own data and use cases. Our wider AI Training & Workshops and Sensiwise AI Academy pages list current options.
How to choose an agentic AI training provider
Before you book any AI agent course, ask these five questions:
- Will we build working agents? Look for several labs and a capstone, not a day of slides.
- Does it use current frameworks? LangChain and LangGraph are widely used for agent workflows.
- Does it cover safety and guardrails? Agents act, so limits, human approval and testing must be taught.
- Who delivers it? Look for practitioners who build production AI, backed by academic credibility.
- Do we keep the materials? You should leave with code and notebooks you can reuse internally.
Sensiwise AI combines industry delivery with academic partnerships. Our founder, Dr Haider Raza, is a Senior Lecturer in Artificial Intelligence at the University of Essex. We are certified to ISO 27001 and ISO 9001.
Frequently asked questions (FAQs)
What is agentic AI training? Agentic AI training is hands-on instruction in building AI agents: systems that plan steps, use tools and data, and act towards a goal with limited human input.
What is the difference between an AI agent and a chatbot? A chatbot responds to each prompt. An AI agent decides which steps to take, calls tools such as databases or search, and checks its own progress.
How long does it take to learn to build AI agents? With basic Python, you can build working agents in a focused two-day programme. Production-grade systems take further practice and testing.
Do I need to install software? Not usually. Our labs run in browser-based notebooks such as Google Colab, so a laptop and a Google account are enough.
Do you offer agentic AI training for teams? Yes. Sensiwise AI can tailor training to one organisation, using your own scenarios for the labs and capstone.
Where is the training held? Our 2026 masterclass ran at the University of Essex in Colchester. Contact us about upcoming dates and in-house options across the UK.
Inside the Masterclass: Building AI Agents at the University of Essex
Two days, four hands-on labs and a team capstone. These photos and videos show the University of Essex masterclass from the first line of code to the final presentation. Delegates built RAG pipelines, data analyst agents and research agents with LangChain and LangGraph, then built their own agent for a real business problem.
Ready to build AI agents?
Whether you want a place on our next public masterclass or a programme built around your team, the first step is a short conversation. Tell us what your team does today, and we will tell you honestly whether agentic AI training is the right next step.
Book a free call with Sensiwise AI or email he***@*******se.ai.
Prefer to explore first? Read AI Agents vs AI Workflows: Which Approach Is Right for You? or see our AI Agents service.