Microsoft Certified: Azure AI Engineer Associate (AI-102T00)
Price
$1,695.00 USD
Duration
4 Days | Mon – Fri, Daytime
8 Days | Sun – Thur, Evenings
Enroll and receive an Exam Voucher discount for this program.
Delivery Methods
Virtual Instructor Led
Private Group
Excellence
At DSDT, we recognize that every professional arriving at our program possesses unique aspirations that demand nothing less than excellent training. Our Career Skills+™ program is designed to not only meet but exceed your educational expectations, ensuring a robust path to career advancement.
Empowerment
Gain practical empowerment with hands-on training in the latest industry best practices, guided by seasoned experts. Our courses are structured to integrate seamlessly into your existing professional schedule, providing flexible yet comprehensive learning experiences.
Certification
Upon the successful completion of your coursework and real-world projects, DSDT will award you with a professional certificate, affirming your new skills and preparing you for further professional achievements.
Support
We provide round-the-clock support to all our participants, ensuring that every question is answered and every opportunity for excellence is seized. Our team is dedicated to your success in the program and beyond, helping you achieve outstanding results in your certification exams.
Microsoft Certified: Azure AI Engineer Associate (AI-102T00)
This course provides an in-depth exploration of the capabilities of Microsoft Azure’s AI tools and services, including Azure Cognitive Services, Azure Machine Learning, and the Bot Framework. Participants will learn how to implement AI solutions that are capable of processing and analyzing large volumes of data to develop intelligent applications. The course prepares participants for the Microsoft Certified: Azure AI Engineer Associate exam, focusing on practical applications and understanding of Azure AI technologies.
Course Objectives
Collaboration Infrastructure: Understand and implement Cisco
Unified Communications, including call control, collaboration endpoints, and collaboration applications.
Voice and Video Networks: Design and deploy voice and video networks using Cisco technologies.
Unified Communications: Implement and manage Cisco Unified Communications Manager, Cisco Unified Communications Manager IM and Presence, Cisco Unity Connection, and Cisco Unified Communications Mobility.
Collaboration Applications: Deploy collaboration applications such as Cisco Jabber, Webex, and Cisco Unified Contact Center Express.
Network Integration: Integrate collaboration solutions with existing networks and services.
Troubleshooting and Optimization: Develop advanced troubleshooting skills and optimize collaboration systems to meet business requirements.
Who Should Attend?
This course is designed for AI engineers, data scientists, developers, and IT professionals who are involved in the planning, creating, and maintaining of AI solutions in the Azure environment.
Course Prerequisites
Knowledge Requirements: Fundamental knowledge of Microsoft
Azure, basic concepts of AI and machine learning, proficiency in at least one high-level programming language.
Experience: Practical experience with Azure products and services, especially Azure Cognitive Services, Azure Machine Learning, and/or creating bots using the Microsoft Bot Framework.
Enterprise and individual training is available for this program.
Key Features
Intensive Bootcamp
Our 4 or 8 day bootcamp offers rigorous, instructor-led training that can be attended online via Microsoft Teams or in person in various cities. These sessions are designed to fit seamlessly into your professional life, ensuring you receive comprehensive preparation without compromising your daily responsibilities.
Certification Preparedness
Complete this 4 or 8 day intensive program in preparation to test to earn the Microsoft Certified: Azure AI Engineer Associate (AI-102T00) certification. Participant will also receive a completion certificate, affirming your enhanced skills and knowledgeable experience.
Interactive Classroom Engagement
Our virtual training includes live lectures, demonstrations and virtual labs that allow you to participate in discussions with your instructor and fellow classmates to get real-time feedback.
Flexible Learning Options
This 4 or 8 day program is available both in-person and via live online formats, offering flexible scheduling options to accommodate your busy calendar. Whether it's during the weekday or the weekend, we make it easy for you to engage and learn.
Expert Instructors
DSDT prides itself on partnering with certified subject matter experts who not only bring over 10 years of real-world experience to the table but also create dynamic, interactive learning environments. Our instructors are dedicated to your success and professional growth.
Continued Learning Resources:
Upon completion of the course, students gain access to extensive post-class materials. This support system is designed to help learners review concepts, catch up on missed sessions, or refine their skills, ensuring continuous professional development and mastery of new competencies.
Exclusive Corporate Training
DSDT offers bespoke group training sessions tailored to the specific needs of your organization. Conducted by our top-tier instructors, these private courses are aimed at fostering collective advancement and skill enhancement within your team, leveraging our strong connections to local industries and cutting-edge digital technology practices.
Guaranteed Course Availability
All scheduled sessions of our program are guaranteed to run as planned, whether in a classroom, live virtual, or in-house setting. We ensure that you can rely on us for your educational needs without disruption.
Customized Training Solutions
Reflecting DSDT’s commitment to addressing specific industry demands, our subject matter experts develop customized training programs that focus on the particular objectives of your team. This approach not only enhances targeted skill development but also integrates practical, real-world applications essential for success in today’s digital landscape.
Agenda
1. Lessons
Introduction to Azure AI Platform and Capabilities
Implementing AI Solutions with Cognitive Services
Building and Managing Machine Learning Workflows with Azure Machine Learning
Developing Intelligent Bots with Microsoft Bot Framework
Integrating AI Services with Azure Data and Storage Solutions
Best Practices for AI Solutions Design and Scalability
Securing AI Deployments in Azure
Monitoring and Troubleshooting Azure AI Solutions
Real-World AI Solution Case Studies
2. Lab Outline
Implementing Vision Capabilities with Computer Vision API
Developing Apps with Text Analytics and Language Understanding (LUIS)
Creating and Training Models using Azure Machine Learning Designer
Building and Testing Bots with Azure Bot Service
Integrating Azure Search for AI Solution Data Retrieval
Applying Best Security Practices in AI Deployments
Monitoring AI Solutions with Azure Monitor and Application Insights
Scaling AI Solutions using Azure Kubernetes Service (AKS)