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
(166 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
(166 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
Multimodal Prompts, Generative AI, LLM Application, Artificial Intelligence, Responsible AI, Data Ethics, Key Management, Application Programming Interface (API), Integration Testing, ChatGPT, OpenAI, Computer Programming, and Prompt Engineering
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, LLM Application, API Gateway, Web Servers, Cloud API, Cloud Applications, Application Security, Application Programming Interface (API), OpenAI, Distributed Computing, and Cloud Computing
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, Responsible AI, Generative AI, Large Language Modeling, Web Applications, and LLM Application
What you'll learn
Understand and Create Embedding
Utilize Vector Databases
Retrieval-Augmented Generation (RAG)
Skills you'll gain
Database Development, Development Environment, Semantic Web, Database Management, Databases, Large Language Modeling, Text Mining, Data Storage Technologies, Data Store, LLM Application, Data Processing, Generative AI, OpenAI, Prompt Engineering, Artificial Intelligence, Data Storage, Document Management, and Natural Language Processing
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, Prompt Engineering, OpenAI, Tool Calling, User Interface (UI) Design, Human Computer Interaction, Agentic systems, LLM Application, User Interface (UI), Generative AI Agents, and User Interface and User Experience (UI/UX) 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
Artificial Intelligence, Middleware, Servers, Debugging, Tool Calling, Network Protocols, Generative AI, LLM Application, Real Time Data, Agentic systems, API Gateway, Server Side, Artificial Intelligence and Machine Learning (AI/ML), and Software Architecture
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
Multimodal Prompts, Prompt Engineering, Generative AI, Computer Vision, Artificial Intelligence, OpenAI, Image Quality, LLM Application, and Image Analysis
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), Application Development, Performance Testing, Prompt Engineering, LLM Application, OpenAI, 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, Maintainability, Database Application, Database Development, Application Performance Management, Scalability, Data Storage, Prompt Engineering Tools, User Interface (UI), Performance Tuning, Prompt Engineering, Generative AI Agents, LLM Application, Application Deployment, and Databases
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
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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,