Coursedot’s portfolio of the full Microsoft Azure courses features the Microsoft AI-100: Designing and Implementing an Azure AI Solution. We can also offer you over 30 certified instructors globally to deliver the training needed for gaining this certification.
Available in: United Kingdom, Portugal, Czech Republic, Italy, rest of EU, Ukraine, USA, India, Canada, Russia, Nigeria (+many more on request).
Available languages: English, Spanish, Polish, Czech, Hindi, Russian (+many more on request).
Available trainers, certified to deliver the course: 13 in Europe, 7 in Asia, 8 in North America, 1 in South America, 1 in Africa . Total: 30+ globally
Delivery methods: Online or instructor-led (virtual and in-class)
Official course: Yes
Certification exam: Offered separately.
Coursedot can help organize and deliver this course along with a suitable, certified IT instructor. Get in touch with us via firstname.lastname@example.org or write to us via the form for more details and an offer.
More information about the course
Gain the necessary knowledge for designing Azure AI solution by building a customer support chat Bot using artificial intelligence from the Microsoft Azure platform including language understanding and pre-built AI functionality in the Azure Cognitive Services. This course requires Azure Fundamentals coverage along with an understanding of Azure storage technologies and C# knowledge. The course features six main modules:
Module 1: Introducing Azure Cognitive Services
The student will learn about the available Cognitive Services on Microsoft Azure and their role in architecting AI solutions.
Module 2: Creating Bots
The student will learn about the Microsoft Bot Framework and Bot Services.
Module 3: Enhancing Bots with QnA Maker
The student will learn about the QnA Maker and how to integrate Bots and QnA Maker to build up a useful knowledge base for user interactions.
Module 4: Learn How to Create Language Understanding Functionality with LUIS
The student will learn about Language Understanding with Intents and Utterances (LUIS) and how to create intents and utterances to support a natural language processing solution.
Module 5: Enhancing Your Bots with LUIS
The student will learn about integrating LUIS with a Bot to better understand the users’ intentions when interacting with the Bot.
Module 6: Integrate Cognitive Services with Bots and Agents
The student will learn about integrating Bots and Agents with Azure Cognitive Services for advanced features such as sentiment analysis, image and text analysis, and OCR and object detection.
Note: Training providers can offer a different schedule or description.
About the exam
Candidates for this exam should have subject matter expertise using cognitive services, machine learning, and knowledge mining to architect and implement Microsoft AI solutions involving natural language processing, speech, computer vision, and conversational AI.
Responsibilities for an Azure AI Engineer include analyzing requirements for AI solutions, recommending the appropriate tools and technologies, and designing and implementing AI solutions that meet scalability and performance requirements.
Coursedot can help enterprise clients organize and deliver this course along with a suitable, certified IT instructor. Get in touch with us via email@example.com or write to us via the form for more details and an offer.
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