AI Automation Engineer
AI Automation Engineer
An AI Automation Engineer builds intelligent workflows that make AI do things, not just say things.
Become a certified AI Automation Engineer and learn how to build intelligent, no-code workflows that turn AI into action. This course is designed for professionals who want to move beyond prompt engineering and start using AI to automate real-world tasks across content creation, customer support, marketing, and operations.
As an AI Automation Engineer, you’ll gain hands-on experience with tools like Zapier, Make, n8n, LangChain, and OpenAI. You’ll learn to integrate LLMs into business processes, connect APIs, deploy function-calling, and build retrieval-augmented workflows (RAG). By the end of the course, you’ll have built multiple working automations and be prepared for the next step in the AI Agent+ certification track, entirely achieved through the AI Agent Manager Program.
Courses in this Certificate Program
- 10 HOURS TOTAL
- Live: 5 Hours
- Self-Study: 5 Hours
- Tuition: $795
| Components of this Course | Hours | Delivery Method |
|---|---|---|
| AI Automation Engineer | 10 Hours | Live Online & OnDemand |
| Live Instructor AMA - bi-monthly | 1 Hour+ | Live Online (optional) |
Upcoming LIVE Instruction Dates
Prerequisites
- First, completion of AI Core+ or equivalent experience with prompting fundamentals
- Second, comfort using digital tools such as Google Workspace, CRMs, or Slack
- Lastly, while no coding experience is required, technical curiosity is encouraged and will enhance the learning experience
Target Audience
- Primarily, business professionals seeking AI-enabled productivity
- In particular, operations and marketing teams looking to automate repetitive workflows
- Additionally, support teams aiming to improve ticket handling and communication
- Moreover, educators and instructional designers building AI-enhanced content pipelines
- Finally, non-developers who want to build with AI—no code required
Learning Objectives
By the end of this AI Automation Engineer course, learners will be able to:
- Design and deploy AI-powered workflows using no-code/low-code platforms
- Use APIs and function-calling to interact with real-time services
- Enhance automation with LLM-generated content and decision logic
- Integrate retrieval systems (RAG) using vector databases
- Apply logging, error handling, and data handling best practice
Course Modules Breakdown
1: Foundations of AI Automation
- Automation vs. scripting vs. agents
- Real-world use cases across industries
2: No-Code/Low-Code Platforms
- Zapier, Make, n8n – building with drag-and-drop logic
3: APIs and Function Calling
- Integrating OpenAI/Anthropic APIs into workflows
4: LLM-Enhanced Workflow Design
- Prompt writing for automations, error handling, fallback flows
5: Retrieval-Augmented Generation (RAG)
- Build document-based AI assistants using vector databases
6: Workflow Testing and Logging
- Debugging, logging, and handling failure modes
7: Security and Data Handling
- Keys, privacy, data minimization in AI workflows
8: Practical Automation Projects
- Choose and complete real-world automation builds
9: Capstone Project
- Connect 3+ tools, implement logic, submit demo + docs
AI Course Information
- Review Live Dates Below
- Online & OnDemand
- Tuition: $795
- Ask about Tuition Assistance
- 10 Hours
Additional Information
- Module Quizzes and Knowledge Checks
- Guest Lectures & Networking
- LIVE Online Instructor AMAs
- Certification Exam Prep
Certification Competencies
This course prepares you to sit for the Web3 Certification Board (W3CB) AI Agent+ Certification
Job Titles You May Qualify For
- AI Automation Specialist
- Workflow Automation Engineer
- LLM Workflow Designer
- No-Code AI Developer
- AI Operations Analyst
- Intelligent Systems Coordinator
- AI Productivity Consultant
Income Expectations
- Entry-Level: $70,000–$90,000/year
- Mid-Level: $90,000–$115,000/year
- Senior-Level: $120,000–$140,000+/year
Sources: Lightcast, Glassdoor, Payscale and ZipRecruiter.