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Showing 10 of 22 results in Development
📝 No coding experience? No problem. Learn to build and deploy your first real web application using AI-powered tools—follow best vibe coding best practices, and watch it come to life.
📝 Get tips on building a website that makes every visitor feel like your content was designed just for them.
🌀 Level up as a professional web developer by learning how to build and optimize web applications using ChatGPT.
🌀 Learn to use regular expressions to define complex text patterns that can be used for powerful search and replace techniques.
🌀 Learn how to use Vue.js and Laravel to create elegant, full-stack web applications. Discover how to build an embedded SPA with Vue Router, manage state complexity with Vuex, and more.
📝 Explore the world of Generative AI with Databricks as you learn about prompt engineering, vector search, RAG patterns, and model tuning.
📝 Get a hands-on introduction to using Azure AI Language to create applications that perform natural language processing tasks with the Language Studio and Python SDK.
Whether you work in film, marketing, healthcare, automobile, or real-estate, generative AI is changing the way your job is executed, and those who adapt early will reap its benefits sooner. All professions will be affected by generative AI. Its invention can be compared to the invention of photography, a true creative revolution. If you want to be part of the leaders that are advancing this revolution, this course can get you started on your learning journey. In this course, generative AI expert Pinar Seyhan Demirdag covers the basics of generative AI, with topics including what it is, how it works, how to create your own content, different types of models, future predictions, and ethical implications.
📝 Learn the fundamentals of Java Standard Edition (SE) 11 and more recent releases, so you can build your first application or start exploring the language on your own.
Machine learning is the most exciting branch of artificial intelligence. It allows systems to learn from data by identifying patterns and making decisions with little to no human intervention. In this course, you'll navigate the machine learning lifecycle by getting hands-on practice training your first machine learning model. Join instructor Kesha Williams as she explores widely adopted machine learning methods: supervised, unsupervised, and reinforcement. There's a focus on sourcing and preparing data and selecting the best learning algorithm for your project. After training a model, learn to evaluate model performance using standard metrics. Finally, Kesha shows you how to streamline the process by building a machine learning pipeline. If youre looking to understand the machine learning lifecycle and the steps required to build systems, check out this course.
