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Learn how to work with AI
Excited about AI? Our AI topics mix courses, live trainings, and more—designed for all levels and career ambitions.
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Try DataCamp for BusinessIntroduction to AI, ChatGPT and OpenAI
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AI FundamentalsBeginnerSkill Level
10hrs hr
Discover the fundamentals of AI, dive into models like ChatGPT, and decode generative AI secrets to navigate the dynamic AI landscape.
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Introduction to ChatGPTBeginnerSkill Level
1 hr
Learn how to use ChatGPT. Discover best practices for writing prompts and explore common business use cases for the powerful AI tool.
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Understanding Prompt EngineeringBeginnerSkill Level
1 hr
Learn how to write effective prompts with ChatGPT to apply in your workflow today.
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Understanding Artificial IntelligenceBeginnerSkill Level
2 hr
Learn the basic concepts of Artificial Intelligence, such as machine learning, deep learning, NLP, generative AI, and more.
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Large Language Models (LLMs) ConceptsBeginnerSkill Level
2 hr
Discover the full potential of LLMs with our conceptual course covering LLM applications, training methodologies, ethical considerations, and latest research.
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Using ChatGPT Code Interpreter for Data ScienceBeginnerSkill Level
1 hr 3 min
In this live training, we use ChatGPT Code Interpreter to perform a data analysis workflow on an Airbnb dataset.
How to responsibly leverage AI and create business value
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AI Business FundamentalsBeginnerSkill Level
11hrs hr
Accelerate your AI journey, conquer ChatGPT, and develop a comprehensive Artificial Intelligence strategy.
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Generative AI ConceptsBeginnerSkill Level
2 hr
Discover how to begin responsibly leveraging generative AI. Learn how generative AI models are developed and how they will impact society moving forward.
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Artificial Intelligence (AI) StrategyBeginnerSkill Level
3 hr
Learn how to blend business, data, and AI, and set goals to drive success with an effectively scalable AI Strategy.
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StartDeveloping AI applications
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Developing AI ApplicationsBeginnerSkill Level
23hrs hr
Learn to create AI-powered applications with the latest AI developer tools, including the OpenAI API, Hugging Face, and LangChain.
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ChatGPT Prompt Engineering for DevelopersBeginnerSkill Level
4 hr
Dive deep into the principles and best practices of prompt engineering to leverage powerful language models like ChatGPT to solve real-world problems.
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Semantic Search with Pinecone and OpenAI13 min
A step-by-step guide to building semantic search applications using OpenAI and Pinecone in Python.
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Developing LLM Applications with LangChainIntermediateSkill Level
3 hr
Discover how to build AI-powered applications using LLMs, prompts, chains, and agents in LangChain.
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Retrieval Augmented Generation (RAG) with LangChainIntermediateSkill Level
3 hr
Learn cutting-edge methods for integrating external data with LLMs using Retrieval Augmented Generation (RAG) with LangChain.
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Building AI Applications with LangChain and GPTIntermediateSkill Level
In the live training, you'll use LangChain to build a simple AI application, including preparing and indexing data, prompting the AI, and generating responses.
Developing large language models and deep learning
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Associate AI Engineer for Data ScientistsBeginnerSkill Level
48 hr
Train and fine-tune the latest AI models for production, including LLMs like Llama 3. Start your journey to becoming an AI Engineer today!
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Developing Large Language ModelsBeginnerSkill Level
16hrs hr
Learn to develop large language models (LLMs) with PyTorch and Hugging Face, using the latest deep learning and NLP techniques.
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Introduction to LLMs in PythonAdvancedSkill Level
4 hr
Learn the nuts and bolts of LLMs and the revolutionary transformer architecture they are based on!
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Working with Hugging FaceIntermediateSkill Level
4 hr
Navigate and use the extensive repository of models and datasets available on the Hugging Face Hub.
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Introduction to TensorFlow in PythonIntermediateSkill Level
4 hr
Learn the fundamentals of neural networks and how to build deep learning models using TensorFlow.
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How to Train an LLM with PyTorch8 min
Master the process of training large language models using PyTorch, from initial setup to final implementation.