Azure AI Fundamentals

Table of Contents

Workshops - series

Part 1: Generative AI Solutions

Part 2: This Article

Part 3: Document Intelligence Solution

Part 4: NLP Solution

Part 5: AI Vision Solution

Part 6: Azure AI Engineer Associate

Introduction
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Artificial Intelligence (AI) has transformed the technological landscape, becoming a pivotal component in various domains. It is imperative for tech professionals and enthusiasts to comprehend the basics of AI to thrive in this evolving field. Microsoft Azure AI Fundamentals certification (AI-900) offers a comprehensive understanding of AI concepts and Microsoft Azure’s AI services, equipping individuals with the skills required to leverage these technologies effectively.

At AI SYSTEMS TODAY, we are dedicated to ensuring that professionals have access to the resources and training they need to succeed. We are excited to offer comprehensive workshops tailored to help you ace the AI-900 certification exam. This article provides an overview of the certification, associated resources, and details about our workshops and schedules.

Microsoft Azure AI Fundamentals Certification (AI-900)
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The Microsoft Azure AI Fundamentals certification is designed for those seeking to demonstrate foundational knowledge of AI and its practical implementation through Microsoft Azure’s services. It is suitable for a broad audience including IT professionals, business decision-makers, data engineers, and students interested in understanding the potential of AI.

Exam Objectives
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The AI-900 exam assesses understanding in the following domains:

AI Workloads and Considerations (15-20%)
- Identify features of common AI workloads.
- Identify guiding principles for responsible AI.
Fundamental Principles of Machine Learning on Azure (30-35%)
- Identify common machine learning types.
- Describe core machine learning concepts.
- Identify features of computer vision workloads.
Features of Computer Vision Workloads on Azure (15-20%)
- Identify features of computer vision workloads.
- Identify Azure tools and services for computer vision.
Features of Natural Language Processing (NLP) Workloads on Azure (15-20%)
- Identify features and challenges of NLP workloads.
- Identify Azure tools and services for NLP.
Features of Conversational AI Workloads on Azure (15-20%)
- Identify features and components of conversational AI solutions.
- Identify Azure services for conversational AI.

Key Skills Measured
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The AI-900 certification measures several skills, including:

Describing AI concepts and workloads.
Identifying Azure AI services related to specific workloads (e.g., computer vision, NLP).
Understanding machine learning models and workflows.
Implementing responsible AI practices.

Benefits of AI-900 Certification
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Career Advancement: Demonstrates foundational knowledge to employers.
Business Impact: Enables stakeholders to make informed decisions on AI strategy.
Solid Foundation: Prepares candidates for advanced certifications like the Azure AI Engineer Associate.

Resources for Exam Preparation
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Microsoft provides various resources to help candidates prepare for the AI-900 certification exam.

Learning Paths and Courses
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Microsoft Learn Training (AI-900T00): A free, comprehensive training course available on Microsoft’s Learn platform. The course includes modules like:

Introduction to AI Concepts: Overview of machine learning and AI workloads.
Responsible AI Principles: How to implement ethical and responsible AI.
Machine Learning Fundamentals: Core concepts, supervised and unsupervised learning.
Computer Vision on Azure: Leveraging Azure Cognitive Services for computer vision workloads.
Natural Language Processing (NLP): Azure tools for text analysis and language understanding.
Conversational AI Solutions: Implementing chatbots with Azure Bot Services.

Link: Microsoft Learn AI-900T00 Course

Certification Study Guide and Practice Assessments
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Study Guide: A downloadable PDF study guide is available on Microsoft’s website, providing a detailed outline of exam objectives and study materials.

Link: AI-900 Certification Study Guide

Practice Assessments: Microsoft offers free practice assessments to help candidates familiarize themselves with the exam format and question types.

Link: AI-900 Practice Assessment

Workshops for AI-900 Certification
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Why Choose Our Workshops?
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At AI SYSTEMS TODAY, we understand the importance of practical, hands-on learning. Our workshops are designed to provide immersive training, combining theoretical knowledge with practical implementation. Here’s why you should consider joining:

Expert Instructors: Learn from Microsoft-certified experts with industry experience.
Comprehensive Curriculum: Coverage of all exam objectives and practical labs.
Small Cohorts: Personalized attention with small class sizes.
Flexible Scheduling: Multiple schedules to suit different time zones and availability.
Practice Exams: Access to mock exams and assessment quizzes.
Post-Workshop Support: Continuous guidance and Q&A sessions until your exam day.

Workshop Curriculum
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Day 1: AI Concepts, Machine Learning, and Responsible AI
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Module 1: Introduction to AI Workloads and Considerations
- AI workloads (computer vision, NLP, and conversational AI)
- Responsible AI principles and challenges
Module 2: Introduction to Machine Learning
- Types of machine learning (supervised, unsupervised, reinforcement)
- Core machine learning concepts (features, labels, models)
Module 3: Responsible AI Principles and Ethics
- Implementing responsible AI practices
- Tools for ensuring fairness and transparency

Day 2: Machine Learning and Computer Vision on Azure
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Module 4: Machine Learning on Azure
- Azure Machine Learning workspace
- Automated ML, Azure ML Designer
- Deployment and monitoring of models
Module 5: Features of Computer Vision Workloads
- Computer vision concepts and challenges
- Azure tools for computer vision (Cognitive Services, Custom Vision)
- Hands-on lab: Building a custom image classifier

Day 3: NLP, Conversational AI, and Exam Preparation
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Module 6: Features of NLP Workloads
- NLP concepts (tokenization, sentiment analysis, named entity recognition)
- Azure tools for NLP (Text Analytics, Translator)
- Hands-on lab: Analyzing sentiment of customer reviews
Module 7: Conversational AI Workloads
- Conversational AI concepts and components
- Azure Bot Services and QnA Maker
- Hands-on lab: Building an FAQ bot with Azure Bot Services
Module 8: Exam Preparation and Mock Assessment
- Review of exam objectives and key topics
- Mock exam with detailed feedback

Workshop Schedule
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We offer multiple schedules to accommodate different time zones and availability:

Cohort 1 (Weekdays, Evening)
- Start Date: June 3rd
- Schedule: Monday to Wednesday, 6 PM - 9 PM
Cohort 2 (Weekends, Intensive)
- Start Date: June 5th
- Schedule: Saturday and Sunday, 10 AM - 4 PM
Cohort 3 (Weekdays, Morning)
- Start Date: June 7th
- Schedule: Monday to Wednesday, 10 AM - 1 PM

How to Register
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Registration is easy! Visit our website at AI SYSTEMS TODAY Workshops or contact us via email at workshops@aisystemstoday.com to secure your spot. Spaces are limited due to our small class sizes, so register early.

Workshop Fees
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Standard Fee: $699
Early Bird Discount: $599 (if registered before May 25th)
Group Discount: 10% off for groups of 3 or more

Conclusion
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The Microsoft Azure AI Fundamentals certification (AI-900) is a valuable credential for professionals seeking to understand the potential of AI and Azure’s AI services. With the right preparation, passing this exam can open doors to numerous opportunities in the AI domain. At AI SYSTEMS TODAY, our goal is to provide top-quality workshops that equip you with the skills and confidence needed to excel.

Join us to master the fundamentals of AI and gain a solid understanding of Microsoft Azure’s powerful AI services. Together, let’s embark on a journey to shape the future of technology!