Announcing the "Become an AI Developer" Code-Along Series

Learn key AI skills and start building AI systems today

It is quickly becoming apparent that tools like the OpenAI API, LangChain, Hugging Face & Pinecone are becoming a standard in building generative AI systems. This is why we’ve carefully curated our code-alongs to cover these tools. Our aim is to provide a comprehensive yet accessible learning experience for both beginners and developers alike looking to learn key generative AI skills. Here’s what you can expect:

• Introduction to Large Language Models with GPT & LangChain: Taught by Richie Cotton, Data Evangelist at DataCamp, this code-along will guide you through interacting with GPT via the OpenAI API, engaging in conversations using Python and LangChain, and developing a system for automated data analysis.
• Prompt Engineering with GPT & LangChain: Taught by Olivier Mertens, AI Tech Lead at Microsoft, this code-along will teach you how to craft effective prompts for GPT and LangChain, conduct sentiment analysis, utilize advanced prompts, and filter content with the moderation API.
• Building Multimodal AI Applications with LangChain & the OpenAI API: Taught by Korey Stegared-Pace, AI Cloud Advocate at Microsoft, this code-along will show you how to transcribe YouTube videos with Whisper AI and use GPT to query this content, moving beyond text to integrate other modalities.
• Semantic Search with Pinecone: Taught by James Briggs, Staff Developer Advocate at Pinecone, this code-along will enable you to explore semantic search using Pinecone, including setting up an account, embedding text, and understanding embedding dimensions and distance metrics.
• Retrieval Augmented Generation with the OpenAI API & Pinecone: Taught by Vincent Vankrunkelsven, Senior Software Engineer II at DataCamp, this code-along will delve into retrieval augmented generation using movie data with Pinecone, and structuring prompts to assist knowledge transfer with GPT.
• Building Chatbots with the OpenAI API and Pinecone: Taught by James Briggs, Staff Developer Advocate at Pinecone, this code-along will guide you in creating a chatbot for research paper queries, using retrieval augmented generation and conversational memory with GPT, Pinecone, and LangChain.
• Using Open Source AI Models with Hugging Face: Taught by Alara Dirik, PhD Candidate in 3D Computer Vision at Imperial College London, this code-along will help you navigate the Hugging Face ecosystem to use AI models for text and image data, including a case study on fashion product image captions.
• Building NLP Applications with Hugging Face: Taught by Jacob Marquez, Sr. Data Scientist - Graph Engineer at a Stealth Startup, this code-along will focus on performing sentiment analysis with DistilBERT and exploring dimensionality reduction, clustering and semantic search in the context of fashion data.
• Image Classification with Hugging Face: Taught by Priyanka Asnani, Senior Machine Learning Engineer at Fidelity Investments, this code-along will instruct you on using vision transformer models for image classification and object detection, and improving AI responses with labeled examples.

How to get started?

For a limited time, the Become an AI Developer code-along series is free for everyone. All you need is a free DataCamp account to begin. Simply sign up or log in to your account and start learning. Whether you're a beginner or an experienced developer, these code-alongs were designed by industry-leading experts with accessibility in mind. Get started today and be part of the AI revolution!