Structured learning resources
Includes notebooks, provider setup guidance, troubleshooting documentation, programme outline and curated further reading.
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.
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.
Includes notebooks, provider setup guidance, troubleshooting documentation, programme outline and curated further reading.
Built around LangGraph, tool use, retrieval, orchestration, Human-in-the-Loop approval patterns and realistic adult-learning examples.
Students can work with Groq, local Ollama models, or a safe offline fallback path when premium API access is not available.
Practical tasks are framed around professional scenarios, including operational use cases relevant to an Amazon fulfilment centre visit.
Expanded Markdown, progress indicators, model reporting and diagnostic outputs help students understand what is happening at each step.
Students are introduced to robust patterns for provider routing, tool integration, checkpointing and human approval flows.
The structure below can be adapted, but it provides a polished public summary for your GitHub Pages website.
Introductions to LLMs, agents, workflows, prompts, tools, providers and the role of Human-in-the-Loop supervision.
Students build structured graphs, connect tools and explore controlled versus model-driven workflows.
Visit to an Amazon fulfilment centre in the UK, with guided reflection on operational AI, automation, safety and optimisation use cases.
Practical exercises on retrieval, context management, external tools and verifiable workflow outputs.
Students implement review checkpoints, compare providers, present practical outcomes and discuss responsible deployment.
Here are the links to GitHub release URLs, repository file links, and/or direct download paths. Please follow the instructions carefully.
The main student distribution including notebooks, guides, programme outline and supporting files.
Visit this link to download the complete package.Clear instructions for creating provider accounts, obtaining API keys and configuring local or cloud access.
Provider Account and API-Key SetupThe recommended first run to verify Groq, Ollama, fallback routing and the local environment.
Reliable Provider Setup and Diagnostics - NotebookUseful when provider checks, notebooks or environment setup do not behave as expected.
Provider Troubleshooting MatrixDownload the latest ZIP and extract it locally before opening the notebooks.
Create a Groq account for fast hosted inference, or prepare local models in Ollama if preferred.
Use the requirements file or a clean virtual environment before launching Jupyter Notebook or JupyterLab.
Day 0 validates the environment, shows provider status, selected model, timings and troubleshooting guidance.
No. The resources are designed to be financially inclusive. Students can use Groq, local Ollama models, or an offline fallback path where appropriate.
Start with the Day 0 setup and provider diagnostics notebook. It is designed to confirm that your environment is working correctly before progressing further.
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.
Observe automation, decision support, safety, process optimisation, human supervision, coordination and operational workflows that could benefit from agentic AI.
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