Overview
*AI-103 This course replaces AI-102 and has been updated to reflect the latest AI-103 Develop AI apps and agents on Azure curriculum.
The course delves into Azure’s suite of AI services, covering essentials like Azure Cognitive Services, Azure Machine Learning, and Azure Bot Service.
Participants will learn how to plan and manage AI solutions, encompassing requirements gathering, solution design, and project management aspects. The course explores computer vision solutions, including image recognition and object detection, alongside natural language processing tasks such as sentiment analysis and language translation using Azure Cognitive Services.
By the course’s end, learners are equipped to address real-world challenges with AI, leveraging Azure’s robust infrastructure for scalable and efficient AI deployments.
What you’ll learn
Module 1: Prepare to develop AI solutions on Azure
Module 2: Create and consume Azure AI services
Module 3: Secure Azure AI services
Module 4: Monitor Azure AI services
Module 5: Deploy Azure AI services in containers
Module 6: Analyze images
Module 7: Classify images
Module 8: Detect, analyze, and recognize faces
Module 9: Read Text in images and documents with the Azure AI Vision Service
Module 10: Analyze video
Module 11: Analyze text with Azure AI Language
Module 12: Build a question answering solution
Module 13: Build a conversational language understanding model
Module 14: Create a custom text classification solution
Module 15: Custom named entity recognition
Module 16: Translate text with Azure AI Translator service
Module 17: Create speech-enabled apps with Azure AI services
Module 18: Translate speech with the Azure AI Speech service
Module 19: Create an Azure AI Search solution
Module 20: Create a custom skill for Azure AI Search
Module 21: Create a knowledge store with Azure AI Search
Module 22: Plan an Azure AI Document Intelligence solution
Module 23: Use prebuilt Form Recognizer models
Module 24: Extract data from forms with Azure Document Intelligence
Module 25: Get started with Azure OpenAI Service
Module 26: Build natural language solutions with Azure OpenAI Service
Module 27: Apply prompt engineering with Azure OpenAI Service
Module 28: Generate code with Azure OpenAI Service
Module 29: Generate images with Azure OpenAI Service
Module 30: Implement Retrieval Augmented Generation (RAG) with Azure OpenAI Service
Accreditation
ITCE is a Microsoft accredited Solutions Partner for Data & AI.
Instructors
Nikolay Markov
Chief AI Adoption Accelerator @TeamLandi
Nikolay has over 20 years at the forefront of IT innovation, leading the transition from cloud computing and cybersecurity to pioneering in AI research and adoption.
Nikolay Markov
Nikolay has over 20 years at the forefront of IT innovation, leading the transition from cloud computing and cybersecurity to pioneering in AI research and adoption.
As the creator of the AI Topologies Framework and a recognized AI Visionary, his work bridges the critical gap between advanced technological development and strategic organizational integration.
Nikolay’s dual expertise as a researcher and an innovator has been instrumental in developing AI solutions that significantly enhance operational efficiency and problem-solving capabilities.
Beyond his research, he is passionate about promoting AI adoption, co-hosting Cloud Talks and AI Talks to foster a community prepared for the future. Embracing his role as a Techno-optimist, Nikolay is committed to exploring and harnessing the expansive possibilities of AI, driving the digital transformation towards a transformative future.
Nikolay Panchev
Head of AI Transformation @TeamLandi
With over 15 years of expertise in IT and cloud technologies, Nikolay stands out as an innovative Azure AI architect, IT Leader, Cloud consultant and Certified technical trainer.
Nikolay Panchev
With over 15 years of expertise in IT and cloud technologies, Nikolay stands out as an innovative Azure AI architect, IT Leader, Cloud consultant and Certified technical trainer.
He has led AI initiatives in the biotechnology and scientific research industry, focusing on leveraging Azure AI services to drive innovation and efficiency. With expertise in Microsoft Azure, M365, and modern workplace solutions, Nikolay has a proven track record in digital transformation and security across large-scale organizations.
Throughout his career, Nikolay has held key roles in IT management, developed cloud-based solutions for large enterprises, and made significant contributions to the development of modern workplace solutions. His achievements have been recognized with prestigious awards for excellence in innovation and customer trust.
As a co-founder of a technology-focused community and a co-host of industry-specific talks, Nikolay is dedicated to sharing his knowledge and fostering a culture of technological advancement.
Calendar
Frequently Asked Questions
Who should attend?
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.
Are there any prerequisites for this course?
There are no strict prerequisites, it is beneficial to have some experience with Azure services, machine learning or AI concepts. Knowledge in one of the programming languages Python, C#, or JavaScript is an advantage.
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