Live resource portal for August 2026 bootcamp

One week of Agentic AI, LangGraph, Groq, Ollama and Human-in-the-Loop practice.

Welcome to the official student portal for the Agentic AI Bootcamp. This site brings together your bootcamp pack, setup guidance, notebooks, troubleshooting notes, programme outline and practical resources in one clear place.

Hybrid theory + practical Financially inclusive pathways Works with Groq, Ollama and offline fallback
Dates 18/08/2026 – 26/08/2026
Industrial visit Amazon fulfilment centre, UK
Focus Agentic workflows for adult learners
Bootcamp stack 2026 Cohort
AI
LangGraph
Groq
Ollama
HITL
Tools
RAG
0 Core days
0 Guided notebooks
0 Provider routes

Everything students need before, during and after the bootcamp

This website is designed as a single public-facing landing page by Dr Julius Sechang Mboli, DAIM Centre, University of Hull. It is used here to provide orientation, logistics, curriculum highlights and direct download access to the latest materials for DAIM SUMMER AGENTIC AI BOOTCAMP.

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Structured learning resources

Includes notebooks, provider setup guidance, troubleshooting documentation, programme outline and curated further reading.

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Modern agentic AI workflow focus

Built around LangGraph, tool use, retrieval, orchestration, Human-in-the-Loop approval patterns and realistic adult-learning examples.

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Inclusive setup options

Students can work with Groq, local Ollama models, or a safe offline fallback path when premium API access is not available.

What makes this experience different

01

Realistic examples

Practical tasks are framed around professional scenarios, including operational use cases relevant to an Amazon fulfilment centre visit.

02

Explainable notebooks

Expanded Markdown, progress indicators, model reporting and diagnostic outputs help students understand what is happening at each step.

03

Deployment-ready mindset

Students are introduced to robust patterns for provider routing, tool integration, checkpointing and human approval flows.

Indicative bootcamp flow

The structure below can be adapted, but it provides a polished public summary for your GitHub Pages website.

Day 1 · 18 Aug 2026

Foundations of Agentic AI

Introductions to LLMs, agents, workflows, prompts, tools, providers and the role of Human-in-the-Loop supervision.

Day 2 · 19 Aug 2026

LangGraph and multi-step orchestration

Students build structured graphs, connect tools and explore controlled versus model-driven workflows.

Day 3 · 20 Aug 2026

Industrial visit

Visit to an Amazon fulfilment centre in the UK, with guided reflection on operational AI, automation, safety and optimisation use cases.

Day 4 · 21 Aug 2026

Tool use, RAG and grounded outputs

Practical exercises on retrieval, context management, external tools and verifiable workflow outputs.

Day 5 · 24–26 Aug 2026

Human approval, capstone patterns and reflection

Students implement review checkpoints, compare providers, present practical outcomes and discuss responsible deployment.

The latest resources are available in one click

Here are the links to GitHub release URLs, repository file links, and/or direct download paths. Please follow the instructions carefully.

🛠 Setup guide

Provider account setup

Clear instructions for creating provider accounts, obtaining API keys and configuring local or cloud access.

Provider Account and API-Key Setup
🧭 Support

Troubleshooting guide

Useful when provider checks, notebooks or environment setup do not behave as expected.

Provider Troubleshooting Matrix
Complete lecture Note: This is my complete Lecture Note. Please use it to prepare for each session complete Lecture Note

What students should do first

1

Download the pack

Download the latest ZIP and extract it locally before opening the notebooks.

2

Create provider accounts

Create a Groq account for fast hosted inference, or prepare local models in Ollama if preferred.

3

Install dependencies

Use the requirements file or a clean virtual environment before launching Jupyter Notebook or JupyterLab.

4

Run Day 0 first

Day 0 validates the environment, shows provider status, selected model, timings and troubleshooting guidance.

Common student questions

Do I need a paid API key to take part?

No. The resources are designed to be financially inclusive. Students can use Groq, local Ollama models, or an offline fallback path where appropriate.

Which notebook should I open first?

Start with the Day 0 setup and provider diagnostics notebook. It is designed to confirm that your environment is working correctly before progressing further.

Why are progress indicators shown in the notebooks?

Some models and workflows take time to run. The revised notebooks include progress feedback, timing details and model metadata so you always know what is happening.

What should I pay attention to during the Amazon visit?

Observe automation, decision support, safety, process optimisation, human supervision, coordination and operational workflows that could benefit from agentic AI.

This resources are ready and the content updated with each new release throughout bootcamp.

The download links should take you to the specific resources your are looking for. If you get a 404 error, please contact Dr Julius Mboli directly on LinkedIn Profile

Update download links