AI Automation Engineering
Build AI-powered tools and workflows using LLMs, APIs, and automation platforms.
What you will learn
8 Modules
Introduction to AI Automation Engineering
Understand what AI automation engineering is, how large language models work, and what tools are available.
Prompt Engineering
Master the art and science of writing prompts that reliably produce the outputs you need from AI models.
Working with AI APIs
Connect to OpenAI, Anthropic, and other AI APIs. Build real integrations into applications and workflows.
AI Workflow Automation
Build end-to-end automation workflows that combine AI with existing business systems and tools.
Building AI Agents
Design and build AI agents that can reason, plan, and use tools to complete complex tasks autonomously.
Retrieval Augmented Generation
Learn how RAG (Retrieval Augmented Generation) works and build pipelines that connect LLMs to your own data.
AI Ethics and Responsible Use
Understand the ethical implications of AI deployment, bias, safety considerations, and responsible AI practices.
Getting Hired as an AI Automation Engineer
Navigate the AI engineering job market, build your portfolio, prepare for interviews, and plan your career.
Jobs this track prepares you for
| Role | Salary Range |
|---|---|
| AI Engineer | ₦300k–₦900k/month |
| Automation Engineer | ₦250k–₦700k/month |
| Prompt Engineer | ₦200k–₦600k/month |
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