DataCamp
145 Cursussen
Working with Hugging Face
Navigate and use the extensive repository of models and datasets available on the Hugging Face Hub. In today's rapidly evolving landscape of machine learning (ML) and artificial intelligence (AI), Hugging Face stands out as a vital platform, allowing anyone to leverage the latest advancements in their projects. To begin, you'll navigate the Hug.
Designing Agentic Systems with LangChain
Immerse yourself in the transformative world of LangChain, where you will master the creation of dynamic, agentic systems designed for the future of AI. This course provides a comprehensive understanding of LangChain agents, guiding you in building custom chat agents capable of performing sophisticated tasks.
Discover how agentic workflows i.
Fine-Tuning with Llama 3
Unlock the potential of Llama models with our in-depth course on fine-tuning using TorchTune. Dive into advanced techniques to refine models for bespoke tasks, including the innovative approach of quantization.
This course is an all-inclusive resource for preparing and applying Llama models effectively. From hands-on exercises to practical e.
Intermediate ChatGPT
Take your ChatGPT knowledge to the next level with the 'Intermediate ChatGPT' course, offered by DataCamp. This program is meticulously designed for individuals who already have a foundational understanding of ChatGPT and AI. It breaks down intricate concepts into easily digestible pieces, ensuring a deeper comprehension without getting entan.
Data Strategy
Embark on a journey to master data strategy with our comprehensive course designed to elevate your skills in strategic data management for business excellence. Delve into the realms of strategic alignment, decode critical business imperatives, and gain an in-depth understanding of data governance and quality.
Our program equips you with.
User-Oriented Design in Power BI
Join DataCamp’s User-Oriented Design in Power BI course to elevate your skills in creating visualizations and reports tailored to your users' needs. This program not only introduces you to key data visualization principles but also emphasizes accessibility, ensuring your designs can be appreciated by everyone, including visually impaired.
Introduction to Microsoft Fabric
Welcome to the immersive Introduction to Microsoft Fabric course. This course allows you to delve into the myriad tools within the seven Fabric experiences. Through these practical explorations, you will grasp Fabric's main use cases.
Designed for professionals such as data engineers, data scientists, database administrators, and BI analysts,.
Introduction to Microsoft Copilot
Enhance your business capabilities with our comprehensive course on Microsoft Copilot and 365 Copilot, designed to boost productivity and efficiency. This practical, hands-on course is ideal for business professionals venturing into Copilot and aiming to tap its full potential.
Discover how to integrate Copilot into your daily operations seam.
Introduction to GPTs
Join our 'Introduction to GPTs' course and delve into the world of AI tools. Gain insights on how to responsibly and confidently utilize GPT tools across various applications. While OpenAI and ChatGPT are well-known, GPTs encompass a broad range of AI models developed for text-based tasks.
Many organizations have harnessed GPT technologies to.
Reinforcement Learning from Human Feedback (RLHF)
Join the course on Reinforcement Learning from Human Feedback to effectively align Generative AI models with human values and preferences. Gain hands-on proficiency with advanced Large Language Models (LLMs), and delve into the complexities of designing reward models. Elevate your understanding of AI that not only learns from inputs bu.
Explainable AI in Python
Enhance your understanding of Explainable AI with this comprehensive course offered by DataCamp. Designed for data scientists and machine learning practitioners, you'll gain expertise in using Python's Scikit-learn, SHAP, and LIME to interpret and visualize AI model behaviors.
Why is Explainable AI crucial? Transparent, accountable, and t.
Retrieval Augmented Generation (RAG) with LangChain
Expand your understanding of integrating external data with Large Language Models (LLMs) through Retrieval Augmented Generation (RAG) using LangChain. Although LLMs are now embedded in various technologies, they are limited by their training datasets. RAG addresses this challenge by combining LLMs with real-time external data.
In this course.