Professional Programme · Build a career

Professional AI Engineering

The route to building with generative AI professionally, not just using chatbots. Learn the Python and machine learning foundations, then build LLM features properly: prompts as specifications, validated outputs, retrieval with citations, evaluation against human labels, and the privacy, safety and cost controls that decide whether a feature can launch.

6 months
Hybrid: self-paced and live
10 courses
Capstone project
Professional certificate

What you'll be able to do

Python and pandas for AI work
Machine learning evaluation: splits, recall and baselines
Prompt design, structured outputs and validation
Retrieval-augmented generation
Evaluating LLM outputs with people and judges
Privacy, prompt injection and cost control

₦450,000

One-off payment. Every professional course in the programme unlocks the moment your payment is confirmed.

Enroll Now — ₦450,000

You'll create a free account first, then pay.

What's included

10 courses in one structured programme, 6 of them professional-only
Hybrid: self-paced and live
Capstone project
Professional certificate included when you earn the programme badge
Instructor support
CloudTech WhatsApp community access
Live classes, online or in person, in small batches of 15 to 25
Recorded sessions for revision
1-on-1 mentorship and cloud GPU access
Job assistance

Programme overview

Professional AI Engineering is for people who build with large language models. You learn generative AI engineering, agents and tool use, evaluation and safety, and the software engineering, databases and APIs that production AI needs. The capstone builds, evaluates, gates and monitors a real WhatsApp claims assistant.

Professional outcome

Build AI features a business can trust.

Who this is for

Developers who want to build AI products
Data professionals moving into AI engineering
Learners who already code in Python

Projects you'll build

AI Engineer Capstone
Build, evaluate, gate and monitor an insurer's WhatsApp claims assistant, in English and Pidgin.

Full curriculum, module by module

Free introductions are open to everyone. The professional curriculum goes deeper, with real-world projects and assessments, and unlocks when you enroll.

1Module 1FoundationThe Python and machine learning every AI engineer relies on.
Full courseFree introductionLevel 2 · Practical Skills· Optional
Statistics for Data Analysis
Sampling and uncertainty, for reading evaluation results honestly.
About 8 hours
You'll learn
- Statistics for Analysts
- Averages: Mean, Median and Mode
- Spread: Range, IQR and Standard Deviation
- Distributions and Outliers
- Rates, Percentages and Weighted Averages
- Correlation
- Sampling and the Normal Distribution
- Confidence Intervals
- Comparing Groups
- Regression and Trends
- Final Project
Short courseFree introductionLevel 1 · Foundations· Optional
Python for Beginners
Python from the first line, if you are new to code.
5 hr 20 min
You'll learn
- First Steps in Python
- Variables and Data Types
- Numbers and Maths
- Working with Text
- Conditions: if, elif and else
- Lists and Tuples
- Loops: for and while
- Dictionaries and Sets
- Functions and a Mini Project
- Errors, Modules and Next Steps
2Module 2CoreBuild LLM features properly.
Full courseProfessional curriculumLevel 3 · Professional
Generative AI Engineering
Prompts, validation, retrieval, evaluation, safety and cost, on a mobile wallet's support assistant.
About 7 hours
You'll learn
- How Large Language Models Work
- Calling a Model from Code
- Prompts as Engineering
- Structured Outputs and Validation
- Evaluating an LLM Classifier
- Embeddings and Search
- Retrieval-Augmented Generation
- Evaluating Generated Answers
- Safety, Privacy and Cost
- Final Project
Full courseProfessional curriculumLevel 2 · Practical Skills
Software Engineering with Python
Tests, debugging, validation, code review and an API: the engineering habits AI products need.
About 7 hours
You'll learn
- From Script to Functions
- Money and Rounding
- Modules and Tests
- Edge Cases and Boundaries
- Debugging
- Validating Input
- Version Control with Git
- Code Review
- Building an API
- Final Project
Full courseProfessional curriculumLevel 3 · Professional
Databases and APIs for Developers
Schemas, constraints, transactions and a tested REST API for the data your AI features use.
About 7 hours
You'll learn
- Why Applications Need Databases
- Designing a Schema
- Constraints and Integrity
- Queries from Code
- Transactions
- Indexes and Query Plans
- Migrations
- REST API Design
- Testing the API
- Final Project
3Module 3SpecialistGo further into AI systems.
Full courseProfessional curriculumLevel 3 · Professional
AI Agents and Tool Use
Scoped tools, rules in code, guarded loops, approvals and injection defences, on a support agent's recorded runs.
About 7 hours
You'll learn
- From Chatbot to Agent
- Designing Tools
- The Agent Loop
- Rules in Code, Not Prompts
- Permissions and Approvals
- Evaluating Agents
- Injection Through Tools
- Cost, Latency and Limits
- Monitoring Agents in Production
- Final Project
Full courseProfessional curriculumLevel 3 · Professional
LLM Evaluation and Safety in Production
Release gates, red-teaming, fair guardrails, alerts and incident response for a live assistant.
About 7 hours
You'll learn
- Production Is Different
- Building a Regression Suite
- Comparing Releases
- Release Gates
- Red-Teaming
- Guardrails and Thresholds
- Monitoring with Control Limits
- Feedback and Sampled Grading
- Incident Response
- Final Project
4Module 4CapstoneOne LLM feature from design to production, as a portfolio piece.
CapstoneProfessional curriculumLevel 4 · Career Projects
AI Engineer Capstone: From Prototype to Production
Build, evaluate, gate and monitor an insurer's WhatsApp claims assistant, in English and Pidgin.
About 12 hours
You'll learn
- The Brief and the Design
- Extraction and Validation
- Rules in Code
- Retrieval over the Policy
- Grounded Answers and Judging
- Red-Teaming and Fair Guardrails
- Cost, Latency and the Release Gate
- Launch, Monitoring and the Presentation
5Module 5CareerTurn your skills into applications that get interviews.
Short courseFree introductionLevel 1 · Foundations· Optional
Career Essentials
An ATS-friendly CV and a LinkedIn profile recruiters can find.
1 hr 30 min
You'll learn
- Build a CV with AI
- A Professional LinkedIn Profile
- Quick Excel Analysis
Short courseFree introductionLevel 1 · Foundations· Optional
Build Your Student Portfolio
One link that shows your notebooks and evaluation reports.
1 hr 25 min
You'll learn
- Plan Your Portfolio
- Show Your Work
- Build Your Portfolio Page
- Share Your Work on LinkedIn

Courses marked "In preparation" join the programme when they're ready. If you've already earned the programme badge by then, you keep it.

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Professional AI Engineering

6 months

Hybrid: self-paced and live

10 courses

Capstone project

Professional certificate

What you'll be able to do

Python and pandas for AI work
Machine learning evaluation: splits, recall and baselines
Prompt design, structured outputs and validation
Retrieval-augmented generation
Evaluating LLM outputs with people and judges
Privacy, prompt injection and cost control

₦450,000

One-off payment. Every professional course in the programme unlocks the moment your payment is confirmed.

Enroll Now — ₦450,000

You'll create a free account first, then pay.

What's included

10 courses in one structured programme, 6 of them professional-only
Hybrid: self-paced and live
Capstone project
Professional certificate included when you earn the programme badge
Instructor support
CloudTech WhatsApp community access
Live classes, online or in person, in small batches of 15 to 25
Recorded sessions for revision
1-on-1 mentorship and cloud GPU access
Job assistance

Programme overview

Professional outcome

Build AI features a business can trust.

Full curriculum, module by module

Free introductions are open to everyone. The professional curriculum goes deeper, with real-world projects and assessments, and unlocks when you enroll.

1Module 1FoundationThe Python and machine learning every AI engineer relies on.

Full courseFree introductionLevel 2 · Practical Skills· Optional

Statistics for Data Analysis

Sampling and uncertainty, for reading evaluation results honestly.

About 8 hours

You'll learn

Statistics for Analysts
Averages: Mean, Median and Mode
Spread: Range, IQR and Standard Deviation
Distributions and Outliers
Rates, Percentages and Weighted Averages
Correlation
Sampling and the Normal Distribution
Confidence Intervals
Comparing Groups
Regression and Trends
Final Project

Short courseFree introductionLevel 1 · Foundations· Optional

Python for Beginners

Python from the first line, if you are new to code.

5 hr 20 min

You'll learn

First Steps in Python
Variables and Data Types
Numbers and Maths
Working with Text
Conditions: if, elif and else
Lists and Tuples
Loops: for and while
Dictionaries and Sets
Functions and a Mini Project
Errors, Modules and Next Steps

2Module 2CoreBuild LLM features properly.

Full courseProfessional curriculumLevel 3 · Professional

Generative AI Engineering

Prompts, validation, retrieval, evaluation, safety and cost, on a mobile wallet's support assistant.

About 7 hours

You'll learn

How Large Language Models Work
Calling a Model from Code
Prompts as Engineering
Structured Outputs and Validation
Evaluating an LLM Classifier
Embeddings and Search
Retrieval-Augmented Generation
Evaluating Generated Answers
Safety, Privacy and Cost
Final Project

Full courseProfessional curriculumLevel 2 · Practical Skills

Software Engineering with Python

Tests, debugging, validation, code review and an API: the engineering habits AI products need.

About 7 hours

You'll learn

From Script to Functions
Money and Rounding
Modules and Tests
Edge Cases and Boundaries
Debugging
Validating Input
Version Control with Git
Code Review
Building an API
Final Project

Full courseProfessional curriculumLevel 3 · Professional

Databases and APIs for Developers

Schemas, constraints, transactions and a tested REST API for the data your AI features use.

About 7 hours

You'll learn

Why Applications Need Databases
Designing a Schema
Constraints and Integrity
Queries from Code
Transactions
Indexes and Query Plans
Migrations
REST API Design
Testing the API
Final Project

3Module 3SpecialistGo further into AI systems.

Full courseProfessional curriculumLevel 3 · Professional

AI Agents and Tool Use

Scoped tools, rules in code, guarded loops, approvals and injection defences, on a support agent's recorded runs.

About 7 hours

You'll learn

From Chatbot to Agent
Designing Tools
The Agent Loop
Rules in Code, Not Prompts
Permissions and Approvals
Evaluating Agents
Injection Through Tools
Cost, Latency and Limits
Monitoring Agents in Production
Final Project

Full courseProfessional curriculumLevel 3 · Professional

LLM Evaluation and Safety in Production

Release gates, red-teaming, fair guardrails, alerts and incident response for a live assistant.

About 7 hours

You'll learn

Production Is Different
Building a Regression Suite
Comparing Releases
Release Gates
Red-Teaming
Guardrails and Thresholds
Monitoring with Control Limits
Feedback and Sampled Grading
Incident Response
Final Project

4Module 4CapstoneOne LLM feature from design to production, as a portfolio piece.

CapstoneProfessional curriculumLevel 4 · Career Projects

AI Engineer Capstone: From Prototype to Production

Build, evaluate, gate and monitor an insurer's WhatsApp claims assistant, in English and Pidgin.

About 12 hours

You'll learn

The Brief and the Design
Extraction and Validation
Rules in Code
Retrieval over the Policy
Grounded Answers and Judging
Red-Teaming and Fair Guardrails
Cost, Latency and the Release Gate
Launch, Monitoring and the Presentation

5Module 5CareerTurn your skills into applications that get interviews.

Short courseFree introductionLevel 1 · Foundations· Optional

Career Essentials

An ATS-friendly CV and a LinkedIn profile recruiters can find.

1 hr 30 min

You'll learn

Build a CV with AI
A Professional LinkedIn Profile
Quick Excel Analysis

Short courseFree introductionLevel 1 · Foundations· Optional

Build Your Student Portfolio

One link that shows your notebooks and evaluation reports.

1 hr 25 min

You'll learn

Plan Your Portfolio
Show Your Work
Build Your Portfolio Page
Share Your Work on LinkedIn

Courses marked "In preparation" join the programme when they're ready. If you've already earned the programme badge by then, you keep it.