AI Courses by Datacamp
Browse AI Courses by Datacamp:
Datacamp
Understanding Artificial Intelligence
This course provides a foundational understanding of Artificial Intelligence, covering its subfields, learning mechanisms, and organizational requirements for implementation. Designed for beginners with no coding experience, it simplifies key concepts like machine learning and generative AI while exploring practical applications in daily life and their societal impacts. By the end, you’ll grasp AI’s capabilities, limitations, and future implications for society and the workforce.
Understanding ChatGPT
In this course, you will gain a comprehensive understanding of ChatGPT, a conversational AI model by OpenAI, without needing prior knowledge. You will learn best practices for writing effective prompts to maximize content quality, explore common business applications such as text summarization and marketing content creation, and apply a framework to identify new use cases. By the end, you’ll be equipped to use ChatGPT confidently and efficiently across various tasks.
Understanding Prompt Engineering
In this course, you will learn how to leverage ChatGPT to enhance your workflow, focusing on essential prompt engineering skills applicable to both creative and business tasks. You’ll also develop critical evaluation techniques to ensure the accuracy of ChatGPT’s responses and discover methods to integrate it into your daily processes for improved productivity. By the end, you will have a solid understanding of how to efficiently utilize generative AI to streamline your work.
Working with the OpenAI API
This course teaches you how to utilize the OpenAI API to access advanced AI models like GPT-4o. You’ll learn to use Python to send requests and extract business value from these models by generating text, performing sentiment analysis, and categorizing content. As AI becomes more accessible, you’ll gain the skills needed to integrate AI into applications, streamlining processes and enhancing customer experiences.
Introduction to ChatGPT
In this course, you’ll learn to effectively utilize ChatGPT by understanding its differences from traditional chatbots, strengths, limitations, and ethical considerations. You’ll master prompt-writing techniques to generate accurate responses, evaluate its potential in various business workflows, and grasp its evolving capabilities and privacy implications. Through practical exercises, you’ll refine your skills to craft precise prompts, recognize AI limitations, and ensure responsible use of ChatGPT for reliable results.
Introduction to Deep Learning with PyTorch
This course provides an introduction to deep learning, focusing on its applications in areas like smartphone cameras, voice assistants, and self-driving cars, using the PyTorch library. You will learn to train your first neural network, understand the differences between deep learning and traditional machine learning, and create loss functions for various problems. The course also covers hyperparameter tuning and model evaluation using TorchMetrics, equipping you to solve classification and regression tasks on both tabular and image data, enhancing your skills as a data professional.
Large Language Models (LLMs) Concepts
In this course, you will explore Large Language Models (LLMs) and their impact on AI, examining the factors driving their growth, such as deep learning, data availability, and computing power. You will learn about the fundamental techniques behind LLMs, including natural language processing, fine-tuning strategies, and various learning methods, while also addressing ethical and environmental concerns related to their development. The course will culminate in an overview of the latest research and future trends in LLMs, equipping you with a solid understanding of their capabilities, applications, and challenges.
AI Ethics
This introductory course on AI ethics offers a thorough overview of ethical considerations in artificial intelligence, addressing principles, strategies for fair AI systems, and methods to reduce bias. You will learn to define data and AI ethics, differentiate them from laws and societal norms, identify ethical risks throughout the data lifecycle, and evaluate the implications of data sharing and AI’s societal impact. Through hands-on exercises, you will develop skills to create ethical AI solutions.
Generative AI Concepts
This non-technical course introduces you to generative AI, a transformative technology capable of creating new content such as text and images. You will learn how these models function, their place within machine learning, and the considerations necessary for their development. The course also addresses key legal and ethical issues, emphasizing responsible use and bias avoidance. By the end, you will be equipped to effectively leverage generative AI tools in your future endeavors.
Developing LLM Applications with LangChain
This course provides a foundation for developing in the LangChain ecosystem, focusing on integrating OpenAI and Hugging Face models for real-world applications. Participants will learn to create chatbots using LangChain tools, master data handling and retrieval augmentation generation (RAG), and implement advanced integrations of chains, tools, and APIs. The course also covers debugging and performance metrics to ensure effective error handling and transparency in chatbot development.
Introduction to LLMs in Python
This hands-on course will provide you with the essential knowledge and skills to understand, build, and apply Large Language Models (LLMs) for complex language tasks such as translation and generation. You will learn about different transformer architectures, how to leverage pre-trained models from Hugging Face, and evaluate your models with advanced metrics. Additionally, the course will address ethical and bias concerns related to LLMs, equipping you to navigate the challenges of real-world applications.
ChatGPT Prompt Engineering for Developers
This course focuses on maximizing AI applications through effective prompt engineering, a crucial skill for leveraging language models like ChatGPT. You will learn to design and craft prompts that elicit desired responses, with hands-on experience using the OpenAI API in Python. By the end of the course, you’ll be equipped to write effective prompts for solving real-world business problems.
Intermediate ChatGPT
This Intermediate ChatGPT course is designed for individuals familiar with basic functionalities who want to enhance their skills in advanced techniques. Participants will explore the architecture of GPT models, including transformers and training methods, while mastering advanced prompt crafting for various applications. By the end of the course, learners will be equipped to create and optimize Custom GPTs, deepening their understanding of AI and improving their professional capabilities.
Generative AI for Business
In this course, you will explore generative AI, distinguishing it from traditional AI, and examine its ecosystem, including key players like universities, governments, and companies. You will learn how to leverage generative AI to enhance workflows through augmentation, co-creation, and replacement, while also understanding its impact on daily operations and strategic decisions. The course will also cover responsible AI practices and strategies for leading in a future shaped by generative AI.
Implementing AI Solutions in Business
This course explores how AI tools like ChatGPT can create business value by enhancing employee productivity, automating processes, and improving customer experiences. You’ll learn to develop an AI Proof of Concept (POC), covering the stages from opportunity scoping to project team formation, while ensuring compliance with data management and privacy regulations. Additionally, the course guides you on how to transition a POC into a comprehensive AI solution, addressing resistance to adoption and effectively communicating AI’s benefits to stakeholders.
Working with Hugging Face
In this course, you’ll learn to harness the power of Hugging Face, a key platform for machine learning and artificial intelligence. You’ll explore the Hugging Face Hub to access models and datasets, build pipelines for text applications like classification and summarization, and engage in document conversations. By the end, you’ll have the skills to effectively apply Hugging Face for various text-based ML and AI tasks.