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
(158 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
(158 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
Key Management, Data Ethics, OpenAI, Multimodal Prompts, Application Programming Interface (API), Artificial Intelligence, ChatGPT, Generative AI, LLM Application, Integration Testing, Prompt Engineering, Computer Programming, and Responsible AI
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
Serverless Computing, Application Deployment, Cloud Applications, Cloud API, Application Programming Interface (API), Cloud Computing, Web Servers, OpenAI, Distributed Computing, API Gateway, Application Security, and LLM Application
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, Artificial Intelligence, Generative AI, LLM Application, Large Language Modeling, Web Applications, and Responsible AI
What you'll learn
Understand and Create Embedding
Utilize Vector Databases
Retrieval-Augmented Generation (RAG)
Skills you'll gain
Document Management, Text Mining, OpenAI, Data Store, Data Storage Technologies, Generative AI, Data Storage, Database Development, Databases, Database Management, Natural Language Processing, Large Language Modeling, Prompt Engineering, Development Environment, LLM Application, Data Processing, Semantic Web, and Artificial Intelligence
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, User Interface (UI) Design, Human Computer Interaction, LLM Application, Prompt Engineering, User Interface (UI), User Interface and User Experience (UI/UX) Design, OpenAI, Tool Calling, Generative AI Agents, and Agentic systems
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
LLM Application, Server Side, Servers, Middleware, Debugging, Agentic systems, Artificial Intelligence and Machine Learning (AI/ML), Real Time Data, Artificial Intelligence, Network Protocols, Software Architecture, API Gateway, Generative AI, and Tool Calling
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, Image Quality, Image Analysis, Artificial Intelligence, Computer Vision, LLM Application, 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
Artificial Intelligence, Application Programming Interface (API), OpenAI, LLM Application, Prompt Engineering, Application Development, Generative AI Agents, and Performance Testing
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, Application Performance Management, Prompt Engineering Tools, Application Deployment, Maintainability, Data Storage, LLM Application, Databases, Prompt Engineering, Generative AI Agents, Database Development, Database Application, User Interface (UI), Performance Tuning, and Scalability
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,