
Explore foundations of artificial intelligence and core workloads—machine learning, anomaly detection, computer vision, natural language processing, and knowledge mining—and how AI improves health care and infrastructure.
Understand machine learning as the foundation for ai solutions, using a real-world example of sustainable farming with sensors and data guiding weather, soil, and plant decisions.
Understand how anomaly detection analyzes time-series data to identify unusual changes in telemetry, production line activity, and transactions. See how Azure anomaly detector API enables fraud alerts and proactive maintenance.
Understand computer vision, an AI field that processes input with machine learning. Explore tasks such as image classification, object detection, semantic segmentation, image analysis, and OCR, with Seeing AI app.
Learn natural language processing to analyze text, interpret spoken language, synthesize speech, translate languages, and create conversational AI with Azure cognitive services like Language, Translator, Speech, and Azure Bot.
Harness knowledge mining to extract information from unstructured data and build a searchable knowledge store using Azure Cognitive Search, with built-in AI for image processing and natural language processing.
Explore how biased training data can skew AI results, such as loan approvals, and examine risks like system failures, data exposure, and unreliable outcomes in AI tools.
Explore responsible AI by examining six guiding principles—fairness, reliability and safety, privacy and security, inclusiveness, transparency, and accountability—and case examples from loan approvals and facial recognition to reduce bias.
Explore the Azure OpenAI service and its enterprise-grade capabilities, including summarizing text, code generation and image generation, powered by OpenAI models for natural language, code, and visuals.
Explore how generative AI, powered by OpenAI models, fits the AI landscape and relies on machine learning and deep learning for language, code, and image generation in Azure AI.
Describe how Azure OpenAI pairs Microsoft and OpenAI to deliver secure, compliant, regionally available enterprise AI with four components: pre-trained models, customization, fine tuning, and safety tools.
Learn to access Azure OpenAI, create an Azure OpenAI resource, and use REST APIs, Python SDK, or the Azure OpenAI Studio. Explore GPT-4, GPT-3, Codex, and embeddings in the playgrounds.
Explore how OpenAI's natural language models interpret prompts and generate responses using Azure OpenAI. Discover token-based inputs, GPT-3.5 Turbo and GPT-4 capabilities, and tasks like summarizing, translating, and classifying text.
Explore OpenAI code generation capabilities, focusing on Codex across languages and its GPT-3 based training on natural language and code, and GitHub Copilot as an AI pair programmer.
Explore OpenAI image generation capabilities with Dali, covering image creation from prompts, editing with masks, and generating variations, using prompts and styles like Monet or van Gogh.
Describe Azure OpenAI access and responsible AI policies. Follow Microsoft’s six AI principles: fairness, reliability and safety, privacy and security, inclusiveness, accountability, and transparency.
Microsoft Azure is one of the three most popular cloud computing platforms. Exam AI-900: Microsoft Azure AI Fundamentals is the best certification to get started with Azure. Learn Cloud Computing with Azure.
We have designed this amazing course to help you learn the Compute, Storage, Database, and Networking solutions in Azure.
Microsoft Azure is a cloud-based platform for testing, deploying, building and managing applications and services through Microsoft managed the data-center. Azure’s cloud adoption framework provides the customers with a set of tools, guidance, and narratives that help them to shape the technology and business in a way they need to accelerate the business outcome.
Microsoft Azure introduces your cloud environment to tools like threat intelligence, advanced threat analytics, Azure information protection and multi-factor authorization. It helps you to take charge of your customer data by collecting, using and distributing them on your own. With the help of data centers spread all over the world, Azure provides high availability along with redundancy. And on the top of everything, Microsoft Azure is cost effective as well.
Benefits Of Azure Certification:
You will get to learn the basics of Microsoft Azure
You will be well versed about virtual networking skills and its implementation through Microsoft Azure
Your career will accelerate in no time
This certification will be key for you to uncover an entire world of networking which is yet unexplored
For someone early in their tech career, the Azure Fundamentals certification can be part of what lifts them from a less technical role into a more technical role, into a more technical role. But without industry experience, the Azure Fundamentals certification isn't necessarily enough to ensure a job.
After the completion of your certification, you’ll gain have a lot of perks like:
Career flexibility
Better security offerings
Better integration with .Net platform
Higher salary
Improved DevOps skills
Azure Fundamentals exam is an opportunity to prove knowledge of cloud concepts, Azure services, Azure workloads, security and privacy in Azure, as well as Azure pricing and support. Candidates should be familiar with the general technology concepts, including concepts of networking, storage, compute, application support, and application development.