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AI Engineering

Guil Hernandez, Per Harald Borgen, Tom Chant, and Bob Ziroll

This specialization teaches developers to build next-generation apps powered by generative AI. It covers topics like 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.

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What's inside

Six courses

Intro to AI Engineering

Upon completing this course, learners will have established a foundation in AI principles and proficiency with AI tools and APIs. They will learn to craft and manipulate AI models, enabling them to integrate AI into applications with confidence.

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Open-source AI Models

Upon completing this course, learners will understand the differences between open-source and closed-source frameworks and their impact on development. The course offers hands-on experience with HuggingFace.js, enabling learners to perform inference tasks and apply AI solutions in real scenarios.

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Learn Embeddings and Vector Databases

This course offers an advanced journey into the realm of AI engineering, focusing on the creation, utilization, and management of embeddings in vector databases. Learners will begin by grasping the concept of embeddings and their pivotal role in AI's interpretative processes. The course progresses through practical exercises on setting up environment variables, creating embeddings, and integrating these into vector databases with tools like Supabase.

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Learn AI Agents

This course delves into ReAct prompting, a critical component in designing AI agents. Through dedicated modules, learners will explore the nuanced approach to crafting prompts that effectively guide AI responses in a reactive manner. This technique is essential for developing AI agents that can interact dynamically with users and environments.

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Learn OpenAI's Assistant API

(4 hours)

Upon completion of this course, learners will understand the fundamental concepts and practical workings of OpenAI's Assistant APIs, enabling them to build intelligent, conversational agents faster than ever before.

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Build AI Apps with LangChain.js

This course, led by LangChain's lead maintainer, Jacob Lee, teaches learners how to build AI applications using the LangChain library. Learners will work through app flow diagrams, setup databases with Supabase, text processing techniques, and the creation of intricate prompt templates. They will learn to develop starter code, add logic chains for retrieval and processing, and design a user interface for their applications.

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Learning objectives

Get familiar with the basics of ai engineering
Create text embeddings and work with vector databases

Build ai agents that utilise tools and interact with apis

Get familiar with the basics of ai engineering
Create text embeddings and work with vector databases
Build ai agents that utilise tools and interact with apis

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Time

4 hours

Level

Intermediate

Via

Coursera

Institution

Scrimba

Instructors

Guil Hernandez

Per Harald Borgen

Tom Chant

Bob Ziroll

Level

Intermediate

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