सीखने वालों और टीमों के लिए विशेषज्ञ अंतर्दृष्टि के साथ डेटा और AI में अधिक समझदार बनें
छोटी टीम को अपस्किल कर रहे हैं?आज ही शुरू करें
हाल ही में प्रकाशित
RIchie and Shinji explore the importance of data governance, challenges in data usage, active metadata and data lineage, improving collaboration between data and business teams, data governance trends to look forward to, and much more.
Aimée, a Learning Solutions Architect at DataCamp, takes you through how to use Claude. Youll get prompt engineering tips, see a data analysis workflow, and learn how to generate Python and SQL code with Claude.
Gunther, the CEO at Waii.ai, explains what technology, talent, and processes you need to reap the benefits of LLL-assisted coding to increase your data teams productivity dramatically.
Roie, a Staff Developer Advocate at Pinecone, shows you how to build an enterprise-quality RAG application.
Adel and Amit explore the importance of experimentation at American Express, the pillars that feed into a culture of experimentation, frameworks for building successful experiments, robust experiment design and much more.
Adel and Thomas explore Llama 405B, it’s new features and improved performance, the challenges in training LLMs, the future of LLMs and AI, open vs closed-sources models, current research and future trends and much more.
In this session, Holly, a Staff Developer Advocate at Databricks, teaches you how to get started using the Databricks platform while working through an analysis of Olympics sporting data.
Adel Nehme, VP of Media, discusses the state of the AI skills gap, introducing a comprehensive framework for upskilling all learning personas within your organization.
Whether you’re investing in your data and AI skills or responsible for your organization’s professional development, join us for an overview of new features and content coming to DataCamp in the third quarter of 2024.
Adel and Jordan explore excel in data science, the impact of GenAI on Excel, Power Query and data transformation, advanced Excel features, Excel for prototyping and generating buy-in, the limitations of Excel and what other tools might emerge in its place, and much more.
Richie and Mico AI and productivity at work, the future of work and AI, GenAI and data roles, AI for training and learning, training at scale, decision intelligence, soft skills for data professionals, genAI hype and much more.
Andrea, a Computing Engineer at CERN, and Josep, a Data Scientist at the Catalan Tourist Board, will walk you through the steps needed to customize the open-source Mistral LLM.
Richie and Vincent explore why you might want to create a custom LLM, the development and features of custom LLMs, architecture and technical details, corporate use cases and much more.
Richie and Savin explore the definition of production in data science, steps to move from internal projects to production, the lifecycle of a machine learning project and much more.
Richie, a Senior Data Evangelist at DataCamp, shows you how to use the function calling features in the OpenAI API and GPT-4o to create a simple AI assistant that has a natural language interface.
Thomas, an analytics engineer at Metabase, takes you through a complete SQL data analysis project.
Richie and Verity explore why history is important for the future of AI, the role of AI in society, historical analogies including comparisons of AI to the cold war, the role of government and regulation, and more.
In this session, Pamela, Director of Data Quality and Integrity at Warner Bros. Discovery, and Tarush Aggarwal, CEO at 5x, will guide you through on creating a data team that will get you real results.