Day 1 · Thursday 26 November
From idea to implementation
12:00 PM – 3:00 PM WAT
- Problem definition
- Requirements and specifications
- Development workflow
- AI-assisted implementation
- Building a functional first version
AI & Automation Engineering · A two-day live practical workshop
Build real software with AI. Go beyond prompting.
Learn how to turn ideas into working software, use AI coding tools effectively, design practical automations and take projects from specification to deployment.
- Define the problem
- Specify the behaviour
- Build with AI
- Test and debug
- Improve the result
- Prepare to deploy
AI can generate code. But can you turn it into working software?
Knowing how to write prompts is only one part of AI-assisted development.
Real software engineering involves understanding a problem, defining expected behaviour, choosing an approach, implementing it, testing what AI produces and improving the result.
This workshop focuses on connecting those stages into a practical development workflow.
What you will learn
Move from AI prompting to engineering with AI.
01
Problem definition and specification
- Turn an idea or business problem into a clear software requirement.
- Define features, expected behaviour and constraints.
- Break complex tasks into manageable implementation steps.
02
AI-assisted implementation
- Work effectively with AI coding assistants.
- Provide useful context and instructions.
- Generate, review, refactor and improve code.
- Work with existing codebases, not only isolated snippets.
03
Application architecture and integration
- Understand how application components fit together.
- Work with APIs, databases and external services.
- Connect different parts of a software solution.
04
Testing and debugging
- Evaluate AI-generated code.
- Identify errors and unexpected behaviour.
- Test against real scenarios.
- Improve reliability and maintainability.
05
Deployment and iteration
- Prepare an application for deployment.
- Understand the path from local development to a working application.
- Improve a solution based on testing and feedback.
Two days will not turn anyone into an expert engineer. The aim is a practical workflow you can keep using on your own projects.
The workshop experience
Two days. Practical engineering. Real implementation.
Day 2 · Friday 27 November
From implementation to working software
12:00 PM – 3:00 PM WAT
- Architecture and integrations
- Testing and debugging
- Improving AI-generated code
- Deployment considerations
- Refinement and practical questions
live demonstrationsguided practical exercisesdedicated Q&A
Who should attend
Built for people who want to ship, not just experiment.
- Software developers who want to integrate AI into their development workflow.
- Technical professionals looking to build software more efficiently.
- Founders who want to prototype and validate software ideas.
- Developers transitioning into AI-assisted engineering.
- Technically curious builders who want to understand the full development process.
Some familiarity with software development concepts will help. This is an engineering-focused workshop, not a zero-knowledge programming course.
Meet your instructor
Samuel Iso
Software Engineer | Solutions Architect | Founder, TechAssembly
Samuel works across software engineering, system architecture and AI-enabled solutions.
His approach combines practical engineering with an understanding of the business problems software is meant to solve.
AI should make it easier to build useful, reliable software, not just generate impressive-looking code.
Tools and learning materials
Learn by building.
You will work through practical examples using AI-assisted development tools and real engineering workflows.
# a behaviour spec, before any code is generated
feature saved search
when the query is valid
then store it and confirm
when the query is empty
then show a clear message
test typical, messy, empty, wrong format
feature saved search
when the query is valid
then store it and confirm
when the query is empty
then show a clear message
test typical, messy, empty, wrong format
Illustrative example of the kind of specification you will practise writing.
DeepCamp learning path
Supporting learning materials for the workshop.
Explore the supporting materials
Where things happen
The live sessions run on Google Meet or Zoom. DeepCamp provides the supporting learning materials.
Thank you.
Your payment is confirmed and your seat is reserved. Joining details will be shared with you by email and WhatsApp before the first session. If you do not hear from us within a day, contact TechAssembly with the email address you registered with.
Registration
Invest in your ability to build with AI.
₦150,000
Two days of live practical instruction, demonstrations, guided exercises and Q&A.
- dates 26–27 November 2026
- time 12:00 PM WAT, both days
- format Live on Google Meet or Zoom
Frequently asked questions
Before you register.
Is this a recorded course?
No. It is a two-day live virtual workshop with practical sessions, demonstrations and Q&A.
Where will the workshop take place?
The live sessions will be held on Google Meet or Zoom. Joining details will be shared with registered participants.
Will I receive learning materials?
Yes. Supporting learning materials will be available through DeepCamp.
Do I need to know how to code?
Some familiarity with software development concepts will help you get more out of the workshop. This is an engineering-focused programme, not a basic introduction to programming.
Will I build something?
The workshop is designed around practical implementation. You will work through the process of turning a defined problem into a working software solution.
How do I register?
Complete the registration and payment process using the registration form on this page.
Stop experimenting with prompts. Start engineering solutions.
Learn how to use AI throughout the software development process, from defining a problem to building, testing and deploying a solution.
₦150,000
Reserve your seatInstructor: Samuel Iso. Organised by TechAssembly.