12643 Video courses

Duration 4 Days 24 CPD hours This course is intended for Software engineers concerned with building, managing and deploying AI solutions that leverage Azure AI Services, Azure AI Search, and Azure OpenAI. They are familiar with C# or Python and have knowledge on using REST-based APIs to build computer vision, language analysis, knowledge mining, intelligent search, and generative AI solutions on Azure. AI-102 Designing and Implementing an Azure AI Solution is intended for software developers wanting to build AI infused applications that leverage?Azure AI Services,?Azure AI Search, and?Azure OpenAI. The course will use C# or Python as the programming language. Prerequisites Before attending this course, students must have: Knowledge of Microsoft Azure and ability to navigate the Azure portal Knowledge of either C# or Python Familiarity with JSON and REST programming semantics Recommended course prerequisites AI-900T00: Microsoft Azure AI Fundamentals course 1 - Prepare to develop AI solutions on Azure Define artificial intelligence Understand AI-related terms Understand considerations for AI Engineers Understand considerations for responsible AI Understand capabilities of Azure Machine Learning Understand capabilities of Azure AI Services Understand capabilities of the Azure Bot Service Understand capabilities of Azure Cognitive Search 2 - Create and consume Azure AI services Provision an Azure AI services resource Identify endpoints and keys Use a REST API Use an SDK 3 - Secure Azure AI services Consider authentication Implement network security 4 - Monitor Azure AI services Monitor cost Create alerts View metrics Manage diagnostic logging 5 - Deploy Azure AI services in containers Understand containers Use Azure AI services containers 6 - Analyze images Provision an Azure AI Vision resource Analyze an image Generate a smart-cropped thumbnail 7 - Classify images Provision Azure resources for Azure AI Custom Vision Understand image classification Train an image classifier 8 - Detect, analyze, and recognize faces Identify options for face detection analysis and identification Understand considerations for face analysis Detect faces with the Azure AI Vision service Understand capabilities of the face service Compare and match detected faces Implement facial recognition 9 - Read Text in images and documents with the Azure AI Vision Service Explore Azure AI Vision options for reading text Use the Read API 10 - Analyze video Understand Azure Video Indexer capabilities Extract custom insights Use Video Analyzer widgets and APIs 11 - Analyze text with Azure AI Language Provision an Azure AI Language resource Detect language Extract key phrases Analyze sentiment Extract entities Extract linked entities 12 - Build a question answering solution Understand question answering Compare question answering to Azure AI Language understanding Create a knowledge base Implement multi-turn conversation Test and publish a knowledge base Use a knowledge base Improve question answering performance 13 - Build a conversational language understanding model Understand prebuilt capabilities of the Azure AI Language service Understand resources for building a conversational language understanding model Define intents, utterances, and entities Use patterns to differentiate similar utterances Use pre-built entity components Train, test, publish, and review a conversational language understanding model 14 - Create a custom text classification solution Understand types of classification projects Understand how to build text classification projects 15 - Create a custom named entity extraction solution Understand custom named entity recognition Label your data Train and evaluate your model 16 - Translate text with Azure AI Translator service Provision an Azure AI Translator resource Specify translation options Define custom translations 17 - Create speech-enabled apps with Azure AI services Provision an Azure resource for speech Use the Azure AI Speech to Text API Use the text to speech API Configure audio format and voices Use Speech Synthesis Markup Language 18 - Translate speech with the Azure AI Speech service Provision an Azure resource for speech translation Translate speech to text Synthesize translations 19 - Create an Azure AI Search solution Manage capacity Understand search components Understand the indexing process Search an index Apply filtering and sorting Enhance the index 20 - Create a custom skill for Azure AI Search Create a custom skill Add a custom skill to a skillset 21 - Create a knowledge store with Azure AI Search Define projections Define a knowledge store 22 - Plan an Azure AI Document Intelligence solution Understand AI Document Intelligence Plan Azure AI Document Intelligence resources Choose a model type 23 - Use prebuilt Azure AI Document Intelligence models Understand prebuilt models Use the General Document, Read, and Layout models Use financial, ID, and tax models 24 - Extract data from forms with Azure Document Intelligence What is Azure Document Intelligence? Get started with Azure Document Intelligence Train custom models Use Azure Document Intelligence models Use the Azure Document Intelligence Studio 25 - Get started with Azure OpenAI Service Access Azure OpenAI Service Use Azure OpenAI Studio Explore types of generative AI models Deploy generative AI models Use prompts to get completions from models Test models in Azure OpenAI Studio's playgrounds 26 - Build natural language solutions with Azure OpenAI Service Integrate Azure OpenAI into your app Use Azure OpenAI REST API Use Azure OpenAI SDK 27 - Apply prompt engineering with Azure OpenAI Service Understand prompt engineering Write more effective prompts Provide context to improve accuracy 28 - Generate code with Azure OpenAI Service Construct code from natural language Complete code and assist the development process Fix bugs and improve your code 29 - Generate images with Azure OpenAI Service What is DALL-E? Explore DALL-E in Azure OpenAI Studio Use the Azure OpenAI REST API to consume DALL-E models 30 - Use your own data with Azure OpenAI Service Understand how to use your own data Add your own data source Chat with your model using your own data 31 - Fundamentals of Responsible Generative AI Plan a responsible generative AI solution Identify potential harms Measure potential harms Mitigate potential harms Operate a responsible generative AI solution

This course will teach you the fundamentals of Jenkins and how to continually implement and deploy codes in a DevOps environment. You will also learn how to integrate automated tests to verify the build pipelines and set up code quality reporting.

Acquire a remarkable, lifetime practicable skill of sketching with this mind blowing Landscape Sketching Masterclass course. This epic

Elasticsearch and Elastic Stack are important tools for managing massive data. You need to know the problems it solves and how it works to design the best systems and be the most valuable engineer you can be. Explore Elasticsearch 8 and learn to manage operations on your Elastic Stack with this comprehensive course. This course covers it all, from installation to operations.

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step

This course covers all the requirements of the Microsoft AZ-300 and AZ-303 exams. You will get a detail-oriented approach to all the important concepts that will help you pass the exams and design solutions for the Microsoft Azure platform.

MySQL: Learn how to use MySQL and PHP to build reports and work with databases for web applications

Learn the strategies of marketing your course and increase your sales through proper marketing. Enrol the Build a Business Teaching course and learn how to drive traffic to your course. Online courses have become very popular day by day. However, there are many online platforms to learn. So, to choose the right platform or to spread the message about your course is a little bit tough. The course will help you to increase the traffic and sales of your course through recent marketing strategies. You will learn to use YouTube for marketing your course. The course teaches you to create a podcast describing the features and importance of your course. You will know other marketing strategies such as email marketing, blog marketing, creating social media groups such as Reddit, Facebook Live, Google Plus, and Facebook Groups. Instead of these, the course guides you to build sales funnels to increase sales. Shortly, you will be an authority in your niche. What Will I Learn? Drive traffic to their courses. Build a sales funnel to increase sales. Use YouTube marketing effectively. Build a blog to market courses. Develop a podcast. Design an email marketing campaign. Conduct interviews to generate content. Become an authority in your niche. Utilize student engagement to build a tribe. Utilize the power of branding. Build a social media following with Reddit, Facebook Live, Google+, and Facebook Groups. Requirements No previous knowledge or experience required. A desire to implement an effective marketing plan. A desire to increase leads, conversions, and sales results. Who is the target audience? Anyone who works online, company or individual. Entrepreneurs, startups, and small business owners. Sales representatives, independent advisors, and consultants. Infopreneurs, authors, and instructors. Section 01 - Dive into Course Marketing Course Marketing FREE 00:02:00 Course Marketing Introduction 00:02:00 Course Marketing Success 00:05:00 Driving Traffic 00:10:00 Section 02 - Building a Sales Funnel Front End Offering 00:07:00 Upselling (or 1 time offer) 00:11:00 Downselling 00:06:00 Additional Upsells 00:11:00 Backend Offer 00:09:00 Sales Funnel (case study) 00:09:00 Section 03 - YouTube Marketing YouTube Marketing Plan 00:07:00 Creating Engaging YouTube Videos 00:05:00 YouTube Channel Best Practices 00:03:00 YouTube Channel (case study) 00:12:00 Optimizing YouTube Videos 00:06:00 Section 04 - Building a Blog Introduction to Blogging 00:04:00 Choosing a Blogging Niche 00:05:00 Content is King 00:10:00 Adding Video and Images 00:03:00 Social Media 00:03:00 Important Pages 00:02:00 Section 05 - Podcasting Introduction to Podcasting 00:02:00 Podcast Hardware and Software 00:09:00 Preparing a Podcast 00:03:00 Podcast Outline 00:03:00 Recording the Podcast 00:05:00 Publishing the Podcast 00:05:00 Marketing Tips 00:04:00 Section 06 - Email Marketing Introduction 00:04:00 Challenges of Email Marketing 00:08:00 Content Marketing 00:04:00 Valuable Content 00:07:00 Email Standards 00:05:00 Keep Email Clean 00:04:00 Lead Generation 00:05:00 AIDA 00:07:00 Section 07 - Live Streaming Introduction to Live Streaming 00:03:00 Live Streaming Basics 00:06:00 Strategy 00:06:00 Promotion 00:05:00 Section 08 - Authority Marketing Introduction to Authority Marketing 00:09:00 Becoming an Authority 00:07:00 Authority Marketing (step by step) 00:16:00 You're an Authority 00:07:00 Section 09 - Branding Introduction to Branding 00:03:00 Mission Statement 00:05:00 Logo 00:06:00 Promotion 00:03:00 Delivering 00:07:00 Course Certification

REST or RESTful API design (Representational State Transfer) is designed to take advantage of existing protocols. Django REST framework is a powerful and flexible toolkit to build web APIs. Throughout the course, we will explore the most important Django Rest framework topics step-by-step. We will learn topics such as API basics, serializers, class-based views, and so on to build flexible APIs.

This course takes you through all the important topics of data structure and algorithms from scratch. You will learn how to solve real-world problems with linked lists, stacks, queues, sorting algorithms, and a lot more using Python.