This specialization teaches developers to build next-generation apps powered by generative AI. It covers topics including the OpenAI API, open-source models, AI safety, embeddings, vector databases, AI agents, how to speed up your AI development with LangChain, and much more.
AI Engineering Specialization
AI Engineering Specialization
Reach a professional level as an AI Engineer. Learn to build next-gen apps with generative AI—essential for devs, startups, agencies & enterprises
Instructors: Per Harald Borgen
Included with 
Get in-depth knowledge of a subject
(165 reviews)
Intermediate level
Recommended experience
1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject
(165 reviews)
Intermediate level
Recommended experience
1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
What you'll learn
Become familiar with the basics of AI Engineering–building apps which harness the power of AI.
Create text embeddings and work with vector databases.
Build AI agents that utilise tools and interact with APIs.
Overview
Skills you'll gain
What’s included
Shareable certificate
Add to your LinkedIn profile
Taught in English
Recently updated!
October 2025
18 practice exercises
Advance your subject-matter expertise
- Learn in-demand skills from university and industry experts
- Master a subject or tool with hands-on projects
- Develop a deep understanding of key concepts
- Earn a career certificate from Scrimba
Specialization - 9 course series
What you'll learn
AI Fundamentals
Ethical AI
Prompt engineering
AI Intergrations
Skills you'll gain
ChatGPT, Application Programming Interface (API), Artificial Intelligence, Multimodal Prompts, OpenAI, LLM Application, Key Management, Prompt Engineering, Computer Programming, Responsible AI, Generative AI, Data Ethics, and Integration Testing
What you'll learn
Integrate OpenAI with Cloudflare Workers, manage APIs, and handle errors
Deploy apps on Cloudflare Pages, configure domains, and handle CORS
Skills you'll gain
Application Deployment, Serverless Computing, Application Security, Web Servers, Distributed Computing, Cloud Computing, Cloud API, LLM Application, Cloud Applications, Application Programming Interface (API), OpenAI, and API Gateway
What you'll learn
Grasp Open-source vs Closed-source Paradigms
Understand HuggingFace.js for Practical AI Implementation
Navigate and Utilize AI Resources
Skills you'll gain
Open Source Technology, LLM Application, Generative AI, Web Applications, Artificial Intelligence, Responsible AI, and Large Language Modeling
What you'll learn
Understand and Create Embedding
Utilize Vector Databases
Retrieval-Augmented Generation (RAG)
Skills you'll gain
Database Management, Document Management, Semantic Web, Natural Language Processing, Data Storage, Large Language Modeling, Development Environment, Data Storage Technologies, OpenAI, Data Processing, Data Store, Artificial Intelligence, Database Development, Text Mining, Prompt Engineering, LLM Application, Generative AI, and Databases
What you'll learn
Construct ReAct prompts that enable AI agents to engage in dynamic, context-aware dialogues with users.
Implement loop mechanisms to ensure continuous processing and responsiveness of AI agents to ongoing interactions.
Develop and integrate action functions that dictate AI agent behaviors in a variety of interaction scenarios.
Skills you'll gain
Artificial Intelligence, OpenAI, Tool Calling, User Interface (UI), User Interface and User Experience (UI/UX) Design, Agentic systems, Generative AI Agents, LLM Application, Prompt Engineering, Human Computer Interaction, and User Interface (UI) Design
What you'll learn
Connect AI models to tools and data using Model Context Protocol.
Set up and run an MCP server with defined tools and resources.
Build MCP clients that communicate with the server.
Skills you'll gain
Software Architecture, API Gateway, Network Protocols, Agentic systems, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Debugging, Real Time Data, Generative AI, Servers, LLM Application, Tool Calling, Server Side, and Middleware
What you'll learn
Enrich your apps with AI
Generate and manipulate high-quality images with Open AI's Dall-e text-to-image model
Skills you'll gain
Prompt Engineering, Generative AI, Multimodal Prompts, LLM Application, Artificial Intelligence, Computer Vision, Image Quality, Image Analysis, and OpenAI
What you'll learn
Understand the OpenAI's Assistants API Framework
Using Tools like Knowledge Retrieval and Code Interpreter
Integrate AI Assistants into Real-World Applications
Skills you'll gain
Application Programming Interface (API), Artificial Intelligence, Application Development, Prompt Engineering, OpenAI, LLM Application, Performance Testing, and Generative AI Agents
What you'll learn
Understand the LangChain library for AI Application Development
Implement Advanced Text Processing
Design and Complete an AI App Project
Skills you'll gain
LangChain, Database Application, Maintainability, Application Performance Management, Database Development, Prompt Engineering Tools, LLM Application, Scalability, Databases, User Interface (UI), Application Deployment, Data Storage, Prompt Engineering, Performance Tuning, and Generative AI Agents
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructors
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Frequently asked questions
No. The term 'AI Engineer' refers to people who use existing AI models to create new applications. The people who build AI models are known as AI Researchers or Machine Learning Engineers.
You should know basic HTML, CSS, and JavaScript.
No, you can jump around. But we recommend you to follow the order if you are new to AI Engineering.
More questions
Financial aid available,