FreeCourse Logo
FreeCourse.io
Verified CouponsFree CoursesBlog
Categories
Home/Courses/Microsoft AB-100 Agentic AI Architect Practice Tests 2026
Microsoft AB-100 Agentic AI Architect Practice Tests 2026
IT & Software100% OFF

Microsoft AB-100 Agentic AI Architect Practice Tests 2026

Yogesh Dhiman
0(47 students)
Self-paced
All Levels

About this course

Are you preparing for the Microsoft AB-100 Agentic AI Business Solutions Architect certification exam? This course is your ultimate practice test solution to pass on your first attempt with confidence.Practice 400+ real exam-like multiple-choice questions with confidence!Designed for professionals aiming to master Agentic AI architecture, enterprise AI strategy, and Microsoft AI solutions, this course provides real exam-like practice questions, detailed explanations, and scenario-based challenges that reflect the actual AB-100 exam pattern.Inside this course, you’ll find multiple high-quality practice tests covering all key exam domains, including:Agentic AI solution design and architectureBusiness problem mapping with AI-driven solutionsMicrosoft AI ecosystem (Azure AI, Copilot, automation tools)Security, compliance, and governance in AI systemsReal-world enterprise AI implementation scenariosEach question is carefully crafted to test not only your theoretical understanding but also your ability to apply concepts in real business situations—a critical skill for passing the AB-100 exam.This course is continuously updated to align with the latest Microsoft certification objectives for 2026, ensuring you stay ahead of exam changes.Whether you're an AI architect, solution architect, cloud professional, or aspiring Microsoft-certified expert, this course will help you:Identify weak areasImprove exam readinessBuild confidence with timed practice testsTake the next step in your AI career and become a Microsoft Certified Agentic AI Business Solutions Architect.Enroll now and start practicing today!

Skills you'll gain

IT Certificationsen

Available Coupons

Loading...

Course Information

Level: All Levels

Suitable for learners at this level

Duration: Self-paced

Total course content

Instructor: Yogesh Dhiman

Expert course creator

This course includes:

  • 📹Video lectures
  • 📄Downloadable resources
  • 📱Mobile & desktop access
  • 🎓Certificate of completion
  • ♾️Lifetime access
$0$88.99

Save $88.99 today!

Enroll Now - Free

Redirects to Udemy • Limited free enrollments

Share this course

https://freecourse.io/courses/microsoft-ab-100-agentic-ai-architect-practice-tests-2026

You May Also Like

Explore more courses similar to this one

AI-900 Azure AI Fundamentals Practice Exam Questions 2026
IT & Software
0% OFF

AI-900 Azure AI Fundamentals Practice Exam Questions 2026

Codaming • 300k+ Learners Worldwide

Prepare for the AI-900 or AI 900 exam with confidence! This set includes 324 unique practice questions created from scratch and fully compliant with the official 2026 exam syllabus.The AI-900 exam syllabus is structured around five main domains, covering core AI/ML concepts and how they are implemented using Microsoft Azure AI services. Domain Approximate Weighting1. Describe Artificial Intelligence workloads and considerations 15-20% 2. Describe fundamental principles of machine learning on Azure 15-20% 3. Describe features of computer vision workloads on Azure 15-20% 4. Describe features of Natural Language Processing (NLP) workloads on Azure 15-20% 5. Describe features of generative AI workloads on Azure 20-25% 1. Describe Artificial Intelligence workloads and considerations (15-20%)Identify features of common AI workloads: computer vision, NLP, document processing, generative AI. Identify guiding principles for responsible AI: fairness, reliability & safety, privacy & security, inclusiveness, transparency, accountability. 2. Describe fundamental principles of machine learning on Azure (15-20%)Identify common machine learning techniques: regression, classification, clustering, deep learning, Transformer architecture. Describe core machine learning concepts: features and labels, training vs validation datasets. Describe Azure Machine Learning capabilities: automated ML, data & compute services, model management & deployment. 3. Describe features of computer vision workloads on Azure (15-20%)Identify types of computer vision solutions: image classification, object detection, OCR, facial detection/analysis. Identify Azure tools & services: e.g., Azure AI Vision, Azure AI Face detection service. 4. Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%)Identify features & uses of NLP scenarios: key phrase extraction, entity recognition, sentiment analysis, language modelling, speech recognition & synthesis, translation. Identify Azure tools & services for NLP workloads: e.g., Azure AI Language, Azure AI Speech. 5. Describe features of generative AI workloads on Azure (20-25%)Identify features of generative AI models and common use-cases. Identify generative AI services/capabilities in Azure: e.g., Azure OpenAI Service, Azure AI Foundry (model catalog).

4.9•1.7K•Self-paced
FREE$108.99
Enroll
Mastering AI on AWS: Training AWS Certified AI-Practitioner
IT & Software
0% OFF

Mastering AI on AWS: Training AWS Certified AI-Practitioner

School of AI

This comprehensive course, "Mastering AI on AWS: Training AWS Certified AI Practitioner" is designed to equip you with the knowledge and skills to excel in AI and machine learning using AWS services. Whether you're a cloud professional, developer, or AI enthusiast, this course will guide you through the fundamentals of AI and machine learning while providing hands-on experience with cutting-edge AWS AI services like Amazon SageMaker, Rekognition, Comprehend, Polly, and more.Starting with foundational concepts of AI and machine learning, you’ll progress through practical labs, working with real-world applications such as image and video recognition, natural language processing, and recommendation systems. The course will also cover security best practices, responsible AI, and preparing for the AWS Certified AI Practitioner exam. By the end, you’ll be ready to build, deploy, and monitor AI applications on AWS and confidently pass the certification exam.Through engaging lessons, hands-on projects, and practical exercises, this course ensures you develop both theoretical knowledge and practical skills to succeed in the growing field of AI and machine learning.What you'll learn:Fundamental concepts of AI, machine learning, and AWS AI services.How to build and deploy AI applications using Amazon SageMaker, Rekognition, Comprehend, Polly, and more.Best practices for securing AI and machine learning workflows on AWS.How to prepare for and pass the AWS Certified AI Practitioner exam. Who this course is for:Cloud professionals wanting to expand into AI/ML.AI/ML enthusiasts looking to gain practical skills using AWS services.Aspiring data scientists and developers seeking to implement real-world AI solutions.Students and professionals preparing for the AWS Certified AI Practitioner exam.

4.4•9.7K•Self-paced
FREE$87.99
Enroll
School of AI Certified Solutions Architect (Associate)
IT & Software
0% OFF

School of AI Certified Solutions Architect (Associate)

School of AI

This course involves the use of artificial intelligence(AI).The School of AI Certified Solutions Architect (Associate) course is your comprehensive pathway to mastering AWS cloud architecture, high availability, and secure, scalable design patterns. Whether you are preparing for the AWS Solutions Architect Associate certification exam or looking to elevate your career in cloud computing, this program equips you with the practical skills and theoretical foundation needed to succeed.This hands-on course takes you from the fundamentals of the AWS global infrastructure—including Regions, Availability Zones, and Edge Locations—through advanced topics like multi-region architectures, disaster recovery strategies, and cost optimization. You will gain deep knowledge of critical AWS services such as Amazon EC2, S3, EBS, EFS, RDS, Aurora, DynamoDB, VPC networking, IAM, CloudWatch, CloudFormation, Elastic Beanstalk, and ElastiCache. Each module is carefully designed to align with the AWS Well-Architected Framework, covering the six pillars: operational excellence, security, reliability, performance efficiency, cost optimization, and sustainability.By focusing on real-world architecture scenarios, the course ensures you not only learn the theory but also how to apply it in practice. Through hands-on labs and mini-projects, you will design resilient infrastructures using Elastic Load Balancing, Auto Scaling Groups, and serverless compute with AWS Lambda. You will explore microservices architectures with ECS, EKS, and Fargate, learn how to decouple applications with SQS, SNS, and EventBridge, and secure your workloads with IAM roles and policies, AWS KMS, WAF, and Shield.The course also provides detailed coverage of monitoring and observability tools such as CloudWatch metrics, logs, alarms, and dashboards, as well as compliance services like AWS Config and CloudTrail. By the end, you will understand how to architect solutions that are fault-tolerant, cost-efficient, and compliant with industry standards.What sets this course apart is its emphasis on exam preparation. You’ll review common exam scenarios, architecture patterns, and practice with 50 exam-style multiple-choice questions designed to simulate the real AWS Solutions Architect Associate exam. You will also complete a final capstone project, where you will design and present a full AWS solution that applies everything you’ve learned—from compute and storage to networking, security, and cost optimization.This course is ideal for IT professionals, system administrators, developers, and aspiring cloud architects who want to build a career in cloud computing and earn a globally recognized AWS certification. By completing this program, you will gain not only a certificate from the School of AI but also the confidence to design, deploy, and manage AWS-based solutions in professional environments.With cloud computing jobs in high demand and AWS continuing to dominate the market, this certification can open doors to roles such as Cloud Solutions Architect, DevOps Engineer, or Cloud Consultant. Mastering AWS services through this course will help you future-proof your career and join the growing community of certified AWS professionals.

4.6•3.2K•Self-paced
FREE$108.99
Enroll
FreeCourse LogoFreeCourse

Freecourse.io brings you high-quality online courses with free certificates to help you upskill, boost your career, and achieve your goals anytime, anywhere.

Resources

  • Courses
  • Categories
  • Features

Company

  • About
  • Blog
  • Contact

Legal

  • Privacy
  • Terms
  • Cookies
  • Licenses

© 2026 FreeCourse. All rights reserved.