Learn the fundamentals of Artificial Intelligence with Azure, explore AI services, and get hands-on experience setting up an Azure environment and using Azure Machine Learning to build and deploy AI models.
$ 9.99
Self-Paced
Career Trends
Avg. Wage Earned
$103,000
Education Needed
Certificate after high school
Dive into the world of Artificial Intelligence (AI) with Azure in this foundational course designed for beginners. You will learn core AI concepts, explore Azure’s cutting-edge AI capabilities, and gain hands-on experience setting up and working within the Azure environment. This course is perfect for anyone looking to understand AI principles and leverage Azure’s cloud services to develop and deploy AI solutions.
What You Will Learn:
Introduction to AI and Azure: Understand the basics of AI, its applications across industries, and how Azure plays a leading role in providing AI solutions and services.
Overview of Artificial Intelligence: Gain insights into AI technologies such as machine learning, deep learning, and natural language processing, and see how these concepts drive intelligent applications.
Azure's AI Capabilities and Services: Explore Azure’s comprehensive suite of AI services, including Azure Cognitive Services, Azure Machine Learning, and Azure Bot Services, and how they help accelerate AI development.
Getting Started with Azure AI: Learn how to begin your AI journey with Azure, including creating and configuring AI resources in the Azure portal.
Setting Up Azure Account and Environment: Walk through the steps of setting up an Azure account and configuring the environment to start building AI projects in a cloud environment.
Introduction to Azure Machine Learning: Discover the basics of Azure Machine Learning, including how to build, train, and deploy machine learning models using Azure's intuitive tools and services.
Key Features:
Comprehensive overview of AI concepts and how they apply to real-world use cases.
Deep dive into Azure’s AI services, including practical examples and use cases.
Step-by-step guide to setting up an Azure environment for AI development.
Hands-on introduction to Azure Machine Learning, helping you start building AI models from scratch.
Who Should Take This Course:
AI beginners and enthusiasts who want to understand the basics of AI and how to utilize Azure for AI projects.
Developers and IT professionals looking to build and deploy AI solutions using Azure’s cloud services.
Data scientists and machine learning engineers interested in leveraging Azure’s advanced machine learning and AI tools.
Prerequisites:
No prior experience in AI or Azure is required. This course is designed for beginners who are eager to learn about AI and cloud-based AI solutions.
Course Format:
Duration: 1 hour
Level: Beginner
Delivery: Self-paced with practical demonstrations and step-by-step instructions
Start your journey into the world of Artificial Intelligence with Azure and unlock the potential of cloud-based AI solutions to build intelligent applications at scale.
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Meet the Coaches
Sudhanshu Pandey
Software Engineer
Sudhanshu is Redhat Certified and a Computer Science graduate. He has worked on multiple technologies including Devops, ML, Python, Redhat Linux, MySQL, MongoDB, Cloud Computing, web development and mobile app development. He is currently working as an ML engineer for a startup and as a trainer on a content delivery team for Linuxworld.
Khalil Demeri
Cloud Solutions Architect
Khaleel has many years of experience in servers administration on Linux and Windows platforms, managing 4000+ servers running different flavors of Linux and web hosting control panels. He helps the team to deal with Windows (MCSE) and Linux Server related issues and services administration. Install, configure and integrate system/solution/OS at site and remotely.
Saurabh Khan
Cloud Coach
Saurabh is an enthusiastic instructor and accomplished Cloud Engineer. With a solid background in architecting cloud solutions and hands-on experience in configuring and deploying applications on leading cloud platforms like Azure, GCP, and AWS, Saurabh possesses a wealth of knowledge to share with learners.
John Morah
Azure Architect
John is an experienced instructor and highly skilled Cloud Architect who brings a wealth of technical expertise to the table. With a career that began in January 2001, John has been fixing computers and providing technical training and support on Microsoft and Google technologies for over two decades.
Arjun Sasikumar
Cloud Architect
Arjun has 10+ years of IT experience. Currently working as a Google Cloud Consultant in a Multi-National Company. He is holding certifications in Google Cloud Digital Leader , Google Cloud Associate Cloud Engineer and Google Cloud Professional Cloud Architect.
Godfrey Chatira
Azure Solutions Architect
An experienced Azure Solutions Architect, with a proven track record of designing and implementing complex cloud solutions on the Microsoft Azure platform. With expertise in cloud architecture, infrastructure, security, and governance, I help organizations to maximize their investments in cloud by providing tailored solutions that align with business goals and technical requirements.
Don Restarone
Software Engineer
End to end software architect with a proven track record for building high achieving MVP's, enterprise applications and unlocking millions of dollars in revenue for startups and founders.
Fady Ibrahim
Google Cloud Champion Innovator
Google Cloud Champion Innovator specializing in Modern Architecture. Fady is also a Google Cloud Insider and Google Cloud Authorized Trainer.
Gouthami Matavalam
Senior Technical Architect
A dynamic and positive Software Engineering coach with a knack for strategic problem-solving and troubleshooting. With extensive experience in Java and Java Frameworks, Gouthami brings a structured and creative approach to coaching, helping clients achieve their personal and professional goals through tailored guidance and support. Her enthusiasm and expertise make learning engaging and effective.
Rahees Khan
Cloud Engineer
With a Bachelor of Technology degree in Computer Science from Lovely Professional University, I have a strong foundation in modern application architectures and microservices-based deployments. I have demonstrated proficiency in Docker, Kubernetes, and OpenShift, as well as Infrastructure as Code tools such as Ansible and Terraform. I have leveraged my skills to optimize applications across Kubernetes environments, minimize vulnerabilities in microservices, and automate the provisioning of infrastructure on Google Cloud.
Jeff Fudge
Director of Solutions Architecture & Engineering
Things I am passionate about: Technology, Community, Cyber Security, AWS and all things Cloud. I have strengths in cloud migration and strategy, PCI compliance, infrastructure consolidation and the design and implementation of high performance architectures. I enjoy working with business leadership and external partners on digital strategy and solution roadmaps. What I've been: Cloud Practice Director, CIO, CTO, VP of Technology, Director of Infrastructure. What I am now: Director of Solutions Architecture & Engineering at JetSweep and AWS User Group Leader. Who I am: A passionate, high energy, sarcastic, "glass is probably fuller than it looks" kind of guy.
Flexible Training
