Course: AI In Action
One hour a week to add AI to your existing skillset, for IT pro’s.
No fluff. Just real, practical capability you can use on the job.
Why Employers Love This Course
Limited time commitment - just an hour a week for the classes, and an extra 3-4 hours once a fortnight if participants wish to complete the optional coursework.
Your people return with working prototypes and skills they can use immediately
Gives your team valuable experience to derisk and accelerate generative AI projects.
Upskills your team on secure, enterprise-ready AI tools
Builds on your teams existing skills to focus in on only the areas in AI that are new to them, keeping costs & time requirement down.
Coursework and examples apply to real-world domains: operations, safety, finance, compliance, customer service.
What You’ll Get
Hands-on experience building AI-powered apps and workflows
4 two-week guided project sprints covering real business use cases
Delivered by an IT pro, for IT pro’s
Weekly live learning sessions
Coursework code starter templates to accelerate your progress
Working code and solution samples you can take back to work
make
A Certificate of Completion to validate your skills
Max 25 participants per class
Fortnightly 1:1 coaching for personalised accelerated learning (optional)
Our Commitment To You
Your organisation will unlock 10x the value within 6 months of completing this training - whether through AI opportunities identified or workflows already implemented.
If not, we’ll deliver a complimentary half-day onsite* workshop with your leadership team to help identify, prioritise, and accelerate high-impact AI use cases.
* Available at your premises in any Australian capital city
About the Instructor
Alex is the founder of Hypergen, a consulting and solutions firm helping organisations embed generative AI into practical, secure business workflows. With a track record leading AI strategy at Microsoft and Salesforce, Alex brings a rare blend of technical depth, enterprise experience, and commercial focus.
He holds 4 Salesforce certifications and 5 Microsoft certifications across Power Platform, Azure Data, and AI, and is a hands-on developer fluent in Python, Node.js, and React.
Alex is also an inventor with a patent in AI vision, underscoring his commitment to innovation and real-world impact.
Widely regarded for his ability to demystify complex technology, Alex makes hard concepts easy to understand and apply. His focus is on helping teams move from experimentation to execution with confidence.
In this program, you’ll benefit from his practical expertise, clear teaching style, and passion for building AI that delivers measurable value.
Course Content
The Code Track is built for IT teams ready to move beyond experimentation and start building production-grade generative AI solutions.
You’ll get hands-on with a variety of LLMs, vector databases, and function calling to create real-world apps that automate tasks, generate insights, and integrate with existing systems. Whether you're focused on internal tooling or customer-facing products, this track gives you the patterns, code, and confidence to bring GenAI into your stack.
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Session Content:
✔️ Demystify generative AI, understand what it can and cannot do, and where it is best suited.
✔️ Learn how to call an LLM and handle structured JSON outputs.
Coursework:
✔️ You'll build a script that categorises product feedback from 100’s of customers to bring new insights to your organisation.
Materials provided:
✔️ Starter code in Python/FastAPI
✔️ Working code example to take back to work
✔️ Access to the session recording
Learning Outcomes:
✔️ Understand how you can enhance workflows with AI to drive immediate business impact.
✔️ Understand how to enrich unstructured data for improved reporting and analytics in your organisation. -
Session Content:
✔️ Understand the RAG pattern and what factors to consider when designing a quality document ingestion pipeline.
✔️ Learn about how search works, chunking and vectorisation and it’s importance in supporting effective RAG outcomes.
✔️ Get exposure to advanced topics such as semantic chunking and handling complex data structures such as tables and charts.
Coursework:
✔️ You’ll create a console-based chatbot using vector embeddings that can answer questions contained in a document.
Materials Provided:
✔️ Starter code in Python/FastAPI
✔️ Working code example for your future reference
✔️ Access to the session recording
Learning Outcomes:
✔️ Understand how to securely leverage corporate information into AI to build essential apps.
✔️ Understand the key components of an ingestion pipeline to power search and through this, build quality RAG based solutions.
✔️ Understand methods to improve and filter search results to improve the quality of AI apps and information assistants. -
Session Content:
✔️ Understand what makes an application “agentic” and what makes a good candidate for this pattern.
✔️ Gain exposure to popular agentic frameworks and what to consider when selecting one.
✔️ Learn to leverage function calling to build a lightweight AI agent that can triggers tasks.Coursework:
✔️ Build an AI agent that can perform research online and write a report from the information it has found.
Materials Provided:
✔️ Starter code in Python/FastAPI
✔️ Working code example for your future reference
✔️ Access to the session recording
Learning Outcomes:
✔️ Understand the fundamentals of AI Agents.
✔️ Understand when an AI agent is required and when a simpler solution will suffice.
✔️ Understand popular methods to build AI Agents on hyperscalers and open using source frameworks -
Session Content:
✔️ Understand where the risks are when building AI apps.
✔️ Know how to assess the risk of bias in apps/workflows you are building
✔️ Learn about prompt injection attacks and other methods to compromise AI apps & workflows
✔️ Gain exposure to cloud services that can help reduce the risks above
Coursework:
✔️ Successfully trigger a content filter and inspect the response payload to understand the cause
Materials Provided:
✔️ Starter code in Python/FastAPI
✔️ Working code example for your future reference
✔️ Access to the session recording
Learning Outcomes:
✔️ Understand where the risks are when building AI apps.
✔️ Know how to configure safety filters to strengthen your AI app or workflow.
Reserve Your Place Now
Next Course Starts: July 14, 2025
Spots are limited to 25 places
to ensure a great learning experience.
Future Dates:
November 2025, then March 2026
People we have trained come from companies including:
Prerequisites
This course is suited for all levels of IT pro’s, from beginner to advanced, particularly those in software development, support, architecture and delivery roles.
Existing Skills:
If you can already do the following you will be fine:
✔️ Know the basics of programming in a backend language of your choice (Python 3., NodeJS etc)
✔️ Know how to call a REST API with token Authentication
✔️ Know basic controls such as loops, if/else statements
✔️ Know how to connect and write to common databases (we use MongoDB but MySQL, PostgreSQL are totally fine too)
Technology Prerequisites:
✔️ An internet connection, webcam and microphone to participate in classes
✔️ A Github account (free is fine)
✔️ An IDE such as Cursor, VSCode or Windsurf installed
✔️ Access to a dev environment running Python 3..11 or higher (eg MacOS or WSL)
✔️ Access to a database of your choice, MongoDB preferred (MongoDB Atlas is free and perfectly sufficient).
✔️ An active Azure subscription, or OpenAI subscription with $20 credit
✔️ Access to a search API of your choice with a small balance of credits, we recommend Serper.
Reserve Your Place Now
Next Course Starts: June 14, 2025
Spots are limited to 25 places
to ensure a great learning experience.
Future Dates:
November 2025, then March 2026