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Microsoft Azure Fundamentals with AI Applications
Certification
Prerequiste
FAQs
Course Overview
Azure Fundamentals with AI course is designed to introduce students to the basic concepts and services of Microsoft Azure, with a special focus on artificial intelligence (AI). This course provides a comprehensive understanding of cloud computing fundamentals, Azure services, and how to integrate AI solutions within the Azure ecosystem. It is suitable for beginners looking to start a career in cloud computing and AI or professionals seeking to enhance their skill set.
Launch your career in Artificial Intelligence by developing in-demand skills and become job-ready in 30 hours or less.
Highlights
- Enhance Your Skills: Gain invaluable training that prepares you for success.
- Instructor-Led Training: Engage in interactive sessions that include hands-on exercises for practical experience.
- Flexible Online Format: Participate in the course from the comfort of your home or office.
- Accessible Learning Platform: Access course content on any device through our Learning Management System (LMS).
- Flexible Schedule: Enjoy a schedule that accommodates your personal and professional commitments.
- Job Assistance: Benefit from comprehensive support, including resume preparation and mock interviews to help you secure a position in the industry.
Outcomes
By the end of this course, participants will be equipped with:
- Understanding Azure Fundamentals: Gain a solid foundation in Microsoft Azure’s core concepts, services, and architecture, preparing them for further cloud-related learning.
- Familiarity with Azure Services: Explore various Azure services, including computing, storage, networking, and databases, understanding their functionalities and use cases.
- Introduction to Artificial Intelligence: Gain a foundational understanding of artificial intelligence concepts and how they can be integrated into Azure applications.
- Hands-On Experience with Azure AI Tools: Become familiar with Azure’s AI services, such as Azure Cognitive Services and Azure Machine Learning, applying these tools to solve real-world problems.
- Data Handling and Preparation: Understand how to collect, prepare, and manage data effectively in the Azure cloud environment, enabling users to harness data for AI applications.
- Building Intelligent Applications: Participants will learn how to build simple intelligent applications using Azure services that incorporate AI capabilities, such as natural language processing, computer vision, and recommendation systems.
- Understanding Machine Learning Basics: Gain insights into machine learning concepts, including model training, testing, and deployment using Azure Machine Learning services.
- Security and Compliance Knowledge: Participants will understand the security features and compliance standards associated with using Azure services, allowing them to implement best practices for secure cloud applications.
Key Learnings
- Understand the core concepts of cloud computing, including its models (IaaS, PaaS, SaaS) and benefits for businesses and developers.
- Gain hands-on experience using the Azure portal, managing resources, and navigating Azure’s environment to effectively utilize its services.
- Learn about Azure’s compute, storage, and networking services, including Virtual Machines, Azure App Services, and Azure Storage options.
- Understand the fundamentals of artificial intelligence, including key concepts related to machine learning, neural networks, and ethical considerations in AI.
- Master the use of Azure Cognitive Services to integrate AI capabilities such as image recognition, text analysis, and natural language processing into applications.
- Learn how to collect, clean, and prepare data for use in AI applications, using tools like Azure Data Factory and Azure SQL Database.
Familiarize yourself with Azure’s security features, including Azure Active Directory, and learn best practices for securing cloud applications and data.
Pre-requisites
- Basic computer skills. Participants should have a general understanding of using computers, including navigating the operating system, managing files, and using web browsers.
- Basic Programming Knowledge (Optional)Although not mandatory, familiarity with programming concepts (especially in languages like Python) may beneficial.
Job roles and career paths
- This training will equip you for the following job roles and career paths:
- Azure Cloud Engineer
- Cloud Solutions Architect
- Data Engineer
- AI/ML Engineer
- Azure AI Engineer
Azure Fundamentals with AI
The demand for Azure Fundamentals with AI training is substantial and continues to grow as organizations of different sizes are migrating to cloud platforms like Azure. Employers seek professionals with a solid understanding of cloud services and AI, making Azure Fundamentals with AI training valuable for job seekers. This trend is reflected in the job market’s preference for candidates with expertise in these areas, making this training highly relevant and valuable for both new entrants and seasoned professionals in the tech industry.
Instructor
Our instructors are industry experts in Microsoft Azure and artificial intelligence, bringing a wealth of experience from various projects across multiple sectors. With a deep understanding of cloud computing and AI applications, they are well-equipped to guide you through the essential concepts and functionalities of Azure services.
Blogs: https://ohiocomputeracademy.com/category/cloud-computing/
Curriculum
- 7 Sections
- 31 Lessons
- 32 Hours
Expand all sectionsCollapse all sections
- Module1. Getting started7
- Module2. Creating and configuring Azure VMs4
- Module 3. Exploring Azure Storage5
- Module 4: Security and Compliance in Azure3
- Module 5. Introduction to AI and ML5
- Module 6. Introduction to Azure AI4
- Module 7. Azure AI Infrastructure3
The course is designed to be completed in approximately 32 hours, which includes 16 hours of instructor-led training and 16 hours of student practice.
No, this course is designed for beginners. Basic computer skills are required, and familiarity with a programming language is optional but would be beneficial.
Participants will learn the fundamentals of Microsoft Azure, explore core Azure services, and gain insights into integrating artificial intelligence into applications using Azure AI services.
Yes, upon successful completion of the course, participants will receive a certificate of completion.
Participants will have access to instructor support throughout the course, along with resources to facilitate learning, including assignments, and exercises.
Participants will use Microsoft Azure's portal for hands-on labs, along with additional resources such as documentation and tutorials.
Yes, the course is offered in an online format, allowing you to participate from anywhere with an internet connection.
To enroll in this course, please email us at enroll@ohiocomputeracademy.com.
Yes, discounts may be available for group registrations. Please contact us at enroll@ohiocomputeracademy.com for more details on group pricing options.
Graduates will be well-prepared for the positions such as Cloud Support Associate, Data Analyst, AI Engineer, or Data Scientist, as well as further specialization in cloud computing and AI.
$1,499
Course Summary
Duration: 32 hours
Level: Beginner
Training Mode: Live Online | Instructor-Led | Hands-On
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Highlights
- Instructor-led training
- One-on-One
- Free access to future sessions (subject to schedule & availability)
- Job Assistance
- Interview preparation
- Online access provided through the LMS
Pricing
$1,499
Group Training (minimum 5 candidates):
$899
Individual Coaching:
$1,499
Corporate Training
- Customized Learning
- Enterprise Grade Reporting
- 24x7 Support
- Workscale Upskilling