Scrimba

AI Engineering Specialization

Scrimba

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

20,113 already enrolled

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.

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Taught in English

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Specialization - 9 course series

Intro to AI Engineering

Intro to AI Engineering

Course 1, 3 hours

What you'll learn

  • AI Fundamentals

  • Ethical AI

  • Prompt engineering

  • AI Intergrations

Skills you'll gain

Category: Application Programming Interface (API)
Category: API Testing
Category: Computer Programming
Category: Artificial Intelligence
Category: OpenAI API
Category: Responsible AI
Category: Prompt Patterns
Category: Prompt Engineering
Category: AI Security
Category: Data Ethics
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Key Management
Category: Fine-tuning
Category: AI Integrations
Category: OpenAI
Category: Generative AI
Deploy AI Apps with Cloudflare

Deploy AI Apps with Cloudflare

Course 2, 4 hours

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: Serverless Computing
Category: Application Deployment
Category: Cloud Deployment
Category: OpenAI
Category: Cloud Security
Category: LLM Application
Category: Debugging
Category: OpenAI API
Category: AI Integrations
Category: Application Programming Interface (API)
Category: Cloud API
Category: AI Security
Category: Distributed Computing
Category: Cloud Hosting
Category: Model Deployment
Category: Web Servers
Category: Cloud Technologies
Category: Cloud Applications
Open-source AI Models

Open-source AI Models

Course 3, 1 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: Hugging Face
Category: Open Source Technology
Category: Model Deployment
Category: Application Frameworks
Category: LLM Application
Category: Responsible AI
Category: Web Applications
Category: AI Integrations
Category: Generative AI

What you'll learn

  • Understand and Create Embedding

  • Utilize Vector Databases

  • Retrieval-Augmented Generation (RAG)

Skills you'll gain

Category: Embeddings
Category: Vector Databases
Category: Development Environment
Category: LLM Application
Category: OpenAI
Category: Virtual Environment
Category: Large Language Modeling
Category: OpenAI API
Category: System Configuration
Category: Databases
Category: Generative AI
Category: AI Integrations
Category: Retrieval-Augmented Generation
Category: Artificial Intelligence
Learn AI Agents

Learn AI Agents

Course 5, 3 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: User Interface (UI) Design
Category: Agentic Workflows
Category: Generative AI Agents
Category: Agentic systems
Category: Prompt Engineering
Category: User Interface and User Experience (UI/UX) Design
Category: Human Computer Interaction
Category: OpenAI
Category: Prompt Patterns
Category: Artificial Intelligence
Category: Tool Calling
Intro to Model Context Protocol (MCP)

Intro to Model Context Protocol (MCP)

Course 6, 1 hour

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: Model Context Protocol
Category: Anthropic Claude
Category: Server Administration
Category: Agentic Workflows
Category: AI Workflows
Category: Artificial Intelligence
Category: Real Time Data
Category: Generative AI Agents
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Generative AI
Category: Servers
Category: Interoperability
Category: Debugging
Category: Tool Calling
Category: Context Management
Category: Data Access
Category: AI Integrations
Category: OpenAI API
Intro to Dall-E and GPT Vision

Intro to Dall-E and GPT Vision

Course 7, 1 hour

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: Prompt Engineering
Category: AI literacy
Category: Multimodal Prompts
Category: Generative AI
Category: Image Analysis
Category: Artificial Intelligence
Category: AI powered creativity
Category: Image Quality
Category: Computer Vision
Category: OpenAI API
Category: OpenAI
Learn OpenAI's Assistant API

Learn OpenAI's Assistant API

Course 8, 1 hour

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: OpenAI API
Category: Performance Testing
Category: AI Integrations
Category: Agentic Workflows
Category: OpenAI
Category: Context Management
Category: Application Development
Category: Generative AI Agents
Category: AI Workflows
Category: AI Personalization
Category: LLM Application
Category: Artificial Intelligence
Build AI Apps with LangChain.js

Build AI Apps with LangChain.js

Course 9, 2 hours

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: LLM Application
Category: Scalability
Category: LangChain
Category: Vector Databases
Category: Prompt Engineering
Category: AI Orchestration
Category: Large Language Modeling
Category: Retrieval-Augmented Generation
Category: Memory Management
Category: AI Workflows
Category: User Interface (UI)
Category: Data Storage
Category: Data Flow Diagrams (DFDs)
Category: Maintainability
Category: Embeddings
Category: Databases
Category: Data Preprocessing
Category: Performance Tuning

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Instructors

Per Harald Borgen
Scrimba
17 Courses67,105 learners
Tom Chant
Scrimba
12 Courses476,961 learners
Bob Ziroll
Scrimba
14 Courses58,580 learners

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Scrimba

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Learner reviews across AI Engineering

avg. across 9 courses

  • 5 stars

    75%

  • 4 stars

    15.55%

  • 3 stars

    4.07%

  • 2 stars

    1.29%

  • 1 star

    4.07%

BS
Course: Intro to AI Engineering

Reviewed on Dec 28, 2024

EC
Course: Deploy AI Apps with Cloudflare

Reviewed on May 20, 2025

AK
Course: Open-source AI Models

Reviewed on Feb 25, 2026