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5h 58m
beginnerSoftware Engineering
NGINX for Beginners
The Server that powers modern applications
DI
Dafluma Instructor54 lectures6 sections
English
Included with subscription
Includes certificate
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Showing 12 of 21 results in Development
The Server that powers modern applications
📝 Learn to develop AI applications for sentiment analysis, object detection, and speech recognition using Hugging Face's advanced models in this hands-on, project-based course.
🌀 Get insights into the intricacies of data annotation for machine learning. Learn the difference between supervised and un-supervised learning and how annotation plays a key role
Learn to design, implement, and optimize retrieval augmented generation systems for chatbots and decision support, while exploring current research and ethical considerations.
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.
Computer scientists are just a small slice of people working in artificial intelligence (AI). Most people working with AI are just like you. Theyre professionals, teachers, and students who want to use AI to enhance their products, creativity, and career. AI has been around for over half a century. Despite huge advancements in predictive and generative AI, the core concepts of artificial intelligence are still accessible.This course is designed for project managers, product managers, directors, executives, and students starting a career in AI. First, learn what it means for a system to display “intelligence.” Then, explore the difference between classic predictive AI and newer generative AI. Next, youll get an overview of machine learning algorithms, artificial neural networks, foundation models, and deep learning. From the AI curious to the AI careerist, this course will help you get started with intelligent systems.This course is part of a Professional Certificate from Microsoft.This course is part of a Professional Certificate from Microsoft.
📝 Learn how to design and build AI agents from end to end, in this hands-on, interactive course from Microsoft Developer.
📝 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.
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.
📝 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.
📝 Explore the world of Generative AI with Databricks as you learn about prompt engineering, vector search, RAG patterns, and model tuning.
🌀 Learn to use regular expressions to define complex text patterns that can be used for powerful search and replace techniques.