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Build your generative AI skills with brand new short code-alongs. Learn the skills and tools necessary to start building AI systems today. Available for free for a limited time.
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Whether you're completely new to AI or are looking to add generative AI skills to your tool belt, we've got you covered.
Introduction to Large Language Models with GPT & LangChain
Learn the fundamentals of working with large language models and build a bot that analyzes data.
Prerequisites: Intermediate Python, knowledge of Python
Prompt Engineering with GPT & LangChain
Learn prompt engineering best practices while using ChatGPT to analyze the sentiment of financial news headlines and Reddit comments.
Prerequisites: Intermediate Python
Building Multimodal AI Applications with LangChain & the OpenAI API
Combine the power of text and audio AI models to build a bot that answers questions about YouTube videos.
Prerequisites: Intermediate Python
Semantic Search with Pinecone
Learn the fundamentals of text embedding and vector databases with Pinecone to build a simple search engine.
Prerequisites: Intermediate Python, knowledge of Python
Retrieval Augmented Generation with OpenAI API & Pinecone
Build a movie recommender system using the OpenAI API & Pinecone and learn key techniques to minimize hallucinations and ensure factual answers.
Prerequisites: Intermediate Python
Building Chatbots with the OpenAI API and Pinecone
Build a chatbot with long term memory using the OpenAI API & PineCone and use it to answer questions about research papers.
Prerequisites: Intermediate Python
Using Open Source AI Models with Hugging Face
Deep dive into open source AI, explore the Hugging Face ecosystem, and build an automated image captioning system.
Prerequisites: Intermediate Python, knowledge of PyTorch or similar packages
Building NLP Applications with Hugging Face
Perform a variety of NLP tasks from sentiment analysis to clustering with Hugging Face, and build a bot that generates marketing copy for a fashion retailer.
Prerequisites: Intermediate Python, knowledge of PyTorch or similar packages
Image Classification with Hugging Face
Deep dive into open source computer vision models with Hugging Face and build an image recognition system from scratch.
Prerequisites: Intermediate Python, knowledge of PyTorch or similar packages
Build in-demand AI skillsLearn the most important packages and tools for working with AI, including the OpenAI API, Hugging Face, Pinecone, & LangChain, for free!
Learn from cutting edge expertsLearn AI skills from leading experts at Microsoft, Pinecone, DataCamp, Imperial College, and more.
Coding-first lessonsWe've designed these code-alongs for coders by coders. Anyone with intermediate Python knowledge can jump in and start learning.
FAQs
What will I learn in this code-along series?
Throughout the code-along series, you will learn key generative AI skills, tools, and concepts, including working with the OpenAI API, LangChain, Pinecone, and Hugging Face.
How are code-alongs different from DataCamp courses and projects?
Code-alongs offer a slightly different format than DataCamp courses and projects. Each code-along takes one to two hours to complete and combines an instructor-led video with an open coding environment on DataLab.
What are the prerequisite skills for these code-alongs?
We've designed these code-alongs to be accessible by anyone with basic to intermediate Python skills. Make sure to read every code-along's prerequisites.
Is this code-along series free or paid?
We believe in democratizing data & AI education for all. As such, these code-alongs will be free for a limited time. Anyone with a free DataCamp account can take advantage of these code-alongs.
Will I have to pay for the OpenAI API to finish the code-alongs?
Some code-alongs focus on the OpenAI API and will require you to use your debit card to gain an API key. The cost of following all the code-alongs using the OpenAI API will be under 20 US cents per code-along. In certain cases, OpenAI does provide free credit for access to the OpenAI API, but we cannot guarantee their availability.
Where are these code-alongs hosted?
Code-alongs are hosted on DataLab, DataCamp's cloud-based Jupyter Notebook IDE.
Will I get a statement of accomplishment once I finish the series?
At the current time, we do not provide statements of accomplishments or certifications for completing the series.
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