Design AI solutions using Azure tools
Build intelligent apps using vision, speech and language APIs
32 hours of intensive training program
Curriculum divided into 12 distinct modules
Gain hands-on experience through guided Azure AI labs
Prepare for the AI-102T00 exam
Master AI design principles with real Azure-based case studies
Learn from certified instructors with proven Azure expertise
Gain access to flexible learning options
What we’re going to teach you:
Upcoming sessions
Before attending this course, students must have:
Knowledge of Microsoft Azure and ability to navigate the Azure portal
Knowledge of either C# or Python
Familiarity with JSON and REST programming semantics
Introduction to Artificial Intelligence
Artificial Intelligence in Azure
Getting Started with Cognitive Services
Using Cognitive Services for Enterprise Applications
Hands-on Lab
Analyzing Text
Translate Text
Hands-on Lab
Speech Recognition and Synthesis
Speech Translation
Hands-on Lab
Creating a Language Understanding App
Publishing and Using a Language Understanding App
Using Language Understanding with Speech
Hands-on Lab
Creating a QnA Knowledge Base
Publishing and Using a QnA Knowledge Base
Hands-on Lab
Bot Basics
Implementing a Conversational Bot
Hands-on Lab
Analyzing Images
Analyzing Videos
Hands-on Lab
Image Classification
Object Detection
Hands-on Lab
Detecting Faces with the Computer Vision Service
Using the Face Service
Hands-on Lab
Reading text with the Computer Vision Service
Extracting Information from Forms with the Form Recognizer service
Hands-on Lab
Implementing an Intelligent Search Solution
Developing Custom Skills for an Enrichment Pipeline
Creating a Knowledge Store
Hands-on Lab
Upon finishing the training, you will:
1
Gain expertise in advanced AI algorithms, Azure AI services, and Open Source frameworks
2
Develop intelligent AI solutions using Azure Cognitive Services and Azure Bot Service
3
Implement and optimize applications with Azure AI components, ensuring maximum performance and efficiency
4
Utilize Azure Machine Learning for advanced model creation and apply transfer learning techniques
5
Build customized Cognitive Services and Bot Service solutions to meet a variety of business requirements
6
Design cost-effective, resilient AI solutions by harnessing the full potential of Azure AI tools
To enrol in the AI-102 Designing and Implementing Microsoft Azure AI Solution Training, the professionals must have the following prerequisites:
Overall ratings by our students
Our AI-102 course is designed to provide professionals with the skills to build AI-powered applications using Microsoft Azure’s Cognitive Services, Bot Service, and Machine Learning components. By completing this course, you'll gain hands-on experience in designing, deploying, and optimizing AI solutions for a variety of business needs, positioning you as a sought-after AI professional in the industry.
This course is ideal for software developers, data scientists, and IT professionals with experience in programming (Python, C#) and a foundational understanding of machine learning, databases, and Azure services. Familiarity with machine learning libraries such as Scikit-Learn, TensorFlow, or Azure ML is beneficial but not mandatory.
The AI-102: Designing and Implementing Microsoft Azure AI Solution Training in South Africa covers a range of topics, including natural language processing, computer vision, Azure Cognitive Services, and bot development. You will also gain hands-on experience with tools like Azure Bot Service and Form Recognizer. The course focuses on designing scalable AI solutions, implementing machine learning models, and optimizing AI applications for business needs.
Upon completing the AI-102 course, you will be well-equipped to pursue a range of exciting career paths in the growing AI field, including:
At Learners Point, if a participant doesn’t wish to proceed with the training after the registration due to any reason, he or she is entitled to a 100% refund. However, the refund will be issued only if we are notified in writing within 2 days of the date of registration. The refund will be processed within 4 weeks from the day of exit.
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