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AI Engineering Specialization

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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

Per Harald Borgen
Tom Chant
Bob Ziroll

Instructors: Per Harald Borgen

14,169 already enrolled

Included with Coursera Plus

Get in-depth knowledge of a subject
4.6

(177 reviews)

Intermediate level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.6

(177 reviews)

Intermediate level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

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.

Details to know

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Taught in English
Recently updated!

October 2025

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Specialization - 9 course series

Intro to AI Engineering

Intro to AI Engineering

Course 12 hours

What you'll learn

  • AI Fundamentals

  • Ethical AI

  • Prompt engineering

  • AI Intergrations

Skills you'll gain

Category: AI Security
Category: Artificial Intelligence
Category: Key Management
Category: Prompt Engineering
Category: Computer Programming
Category: Data Ethics
Category: OpenAI API
Category: Application Programming Interface (API)
Category: Generative AI
Category: ChatGPT
Category: 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

Category: Application Deployment
Category: Distributed Computing
Category: Cloud Security
Category: Debugging
Category: OpenAI API
Category: AI Enablement
Category: Model Deployment
Category: Application Programming Interface (API)
Category: API Gateway
Category: Cloud Applications
Category: Application Performance Management
Category: Cloud Deployment
Category: LLM Application
Category: Web Servers
Open-source AI Models

Open-source AI Models

Course 31 hour

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

Category: Open Source Technology
Category: Artificial Intelligence
Category: Web Applications
Category: Model Deployment
Category: Large Language Modeling
Category: Hugging Face
Category: Responsible AI

What you'll learn

  • Understand and Create Embedding

  • Utilize Vector Databases

  • Retrieval-Augmented Generation (RAG)

Skills you'll gain

Category: Databases
Category: Large Language Modeling
Category: Embeddings
Category: Vector Databases
Category: OpenAI
Category: Text Mining
Category: Semantic Web
Category: Artificial Intelligence
Category: Prompt Engineering
Category: Retrieval-Augmented Generation
Category: Development Environment
Learn AI Agents

Learn AI Agents

Course 53 hours

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

Category: Artificial Intelligence
Category: Agentic systems
Category: OpenAI
Category: Generative AI Agents
Category: Tool Calling
Category: User Interface and User Experience (UI/UX) Design
Category: Prompt Engineering
Category: Human Computer Interaction

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

Category: Anthropic Claude
Category: AI Security
Category: Servers
Category: Server Side
Category: Real Time Data
Category: Model Context Protocol
Category: Debugging
Category: Tool Calling
Category: AI Workflows
Category: Data Access
Category: Middleware
Category: Artificial Intelligence
Category: Generative AI
Category: Artificial Intelligence and Machine Learning (AI/ML)

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

Category: Generative AI
Category: Prompt Engineering
Category: Multimodal Prompts
Category: Vision Transformer (ViT)
Category: OpenAI
Category: Artificial Intelligence
Category: Computer Vision
Category: Image Analysis
Category: OpenAI API
Category: ChatGPT

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

Category: Application Programming Interface (API)
Category: Artificial Intelligence
Category: Test Case
Category: Performance Testing
Category: OpenAI API
Category: Context Management
Category: AI Workflows
Category: Prompt Engineering
Category: Application Development
Category: ChatGPT
Category: LLM Application

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

Category: LangChain
Category: Maintainability
Category: Scalability
Category: AI Workflows
Category: Prompt Engineering
Category: Data Preprocessing
Category: Databases
Category: User Interface (UI)
Category: Embeddings
Category: LLM Application
Category: Vector Databases
Category: Performance Tuning

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Instructors

Per Harald Borgen
Scrimba
17 Courses57,161 learners
Tom Chant
Scrimba
11 Courses250,839 learners
Bob Ziroll
Scrimba
14 Courses48,146 learners

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Scrimba

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