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

Access provided by Shoolini University

14,798 already enrolled

Get in-depth knowledge of a subject

from 182 reviews of courses in this program

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

from 182 reviews of courses in this program

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 1 3 hours

What you'll learn

  • AI Fundamentals

  • Ethical AI

  • Prompt engineering

  • AI Intergrations

Skills you'll gain

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

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: API Gateway
Category: OpenAI API
Category: Cloud Deployment
Category: Web Servers
Category: AI Enablement
Category: Cloud Applications
Category: Application Programming Interface (API)
Category: Application Performance Management
Category: LLM Application
Category: Cloud Security
Category: Model Deployment
Category: Distributed Computing
Category: Debugging
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: Web Applications
Category: Artificial Intelligence
Category: Model Deployment
Category: Responsible AI
Category: Large Language Modeling

What you'll learn

  • Understand and Create Embedding

  • Utilize Vector Databases

  • Retrieval-Augmented Generation (RAG)

Skills you'll gain

Category: Vector Databases
Category: Embeddings
Category: Development Environment
Category: Retrieval-Augmented Generation
Category: Text Mining
Category: Prompt Engineering
Category: Artificial Intelligence
Category: Databases
Category: OpenAI
Category: Large Language Modeling
Category: Semantic Web
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: Prompt Engineering
Category: Generative AI Agents
Category: OpenAI
Category: User Interface and User Experience (UI/UX) Design
Category: Tool Calling
Category: Artificial Intelligence
Category: Human Computer Interaction
Category: 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

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

Category: Prompt Engineering
Category: Multimodal Prompts
Category: Generative AI
Category: Image Analysis
Category: Computer Vision
Category: OpenAI
Category: Artificial Intelligence
Category: OpenAI API
Category: Vision Transformer (ViT)
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: OpenAI API
Category: Artificial Intelligence
Category: User Acceptance Testing (UAT)
Category: Performance Testing
Category: Test Execution Engine
Category: LLM Application
Category: Prompt Engineering
Category: Application Development

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

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Instructors

Per Harald Borgen
Scrimba
17 Courses 58,921 learners
Tom Chant
Scrimba
11 Courses 315,398 learners
Bob Ziroll
Scrimba
14 Courses 50,123 learners

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