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55375AC: Fundamentals of Machine Learning

The Microsoft 55375AC: Fundamentals of Machine Learning course equips data analysts, AI engineers, and aspiring data scientists with core machine learning concepts, including regression, classification, clustering, and deep learning. Designed for professionals seeking to solve real-world data modeling challenges, it bridges the skills gap in AI—where 75% of organizations now prioritize machine learning capabilities. Learners gain hands-on experience building and evaluating models using Python and Azure ML.

This course prepares learners for the Microsoft Certified: Azure AI Fundamentals (AI-901) certification. Koenig Solutions offers Guaranteed-to-Run dates and official vendor-authorized courseware, ensuring consistent access to expert-led training. Graduates gain the foundation to pursue AI engineering roles with confidence and clarity in their career advancement.

40 Hours (5 Days)
Live Online / Classroom
0+ professionals trained

Training Formats & Pricing

1-on-1 USD 3,510
Dedicated instructor, your schedule Fastest
Public Batch USD 2,700
Group class, fixed schedule Most Popular
Self-Paced On Request
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Course Overview

The Microsoft 55375AC: Fundamentals of Machine Learning course is a 3-day instructor-led training that provides a comprehensive introduction to core machine learning concepts for those beginning their journey in AI and data science. This foundational Azure AI training is ideal for individuals seeking to build essential skills in machine learning. With high demand for AI expertise across industries, this course covers supervised and unsupervised learning, model evaluation, and feature selection to help professionals strengthen their understanding of machine learning principles.

Learners engage with key tools through hands-on labs including:

Python and Jupyter Notebooks for data analysis.

Azure Machine Learning Studio for cloud-based model development.

Scikit-learn for implementing machine learning algorithms.

Building and validating classification models using real-world datasets.

Training, registering, and deploying models within the Azure Portal.

Creating preprocessing pipelines and evaluating performance using metrics like accuracy, precision, and AUC-ROC.

This course helps students develop practical expertise in the Azure ecosystem. Koenig Solutions enhances learning with Guaranteed-to-Run batches and official Microsoft courseware, ensuring consistent access to authentic content. Completing the 55375AC: Fundamentals of Machine Learning by Microsoft positions learners to confidently pursue AI-driven careers and progress toward more advanced Microsoft Machine Learning certification paths.

What You'll Learn

Construct machine learning models using Python and scikit-learn libraries to solve predictive modeling challenges in 55375AC: Fundamentals of Machine Learning.
Configure and deploy classification models using Azure Machine Learning to facilitate scalable AI production environments.
Construct feature selection and data preprocessing pipelines in Python to optimize model accuracy and computational efficiency.
Evaluate model performance using Azure Machine Learning metrics such as F1-score, precision, recall, and AUC-ROC to ensure predictive reliability.
Optimize models through regularization and hyperparameter tuning to mitigate overfitting and maximize predictive performance.
Configure Azure Machine Learning techniques to remediate dataset imbalance, ensuring model fairness and accuracy in sensitive applications.

Prerequisites

Recommended knowledge before taking this course
  • Understanding of linear algebra, probability, and statistics at the undergraduate level is required for the Microsoft 55375AC: Fundamentals of Machine Learning course.
  • Familiarity with Python programming will help learners grasp the practical aspects of building machine learning models in this Microsoft course.
  • The ability to create and test a simple machine learning model is beneficial for applying course concepts and gaining hands-on experience with Microsoft tools.
  • Experience using data to train models will support learners in understanding real-world applications covered in this Microsoft course.
  • Familiarity with Azure Machine Learning tools enhances the learning experience, as this course leverages the Microsoft platform for practical training.
  • Students must have an active Microsoft Azure subscription and a configured local development environment such as VS Code or Jupyter Notebooks to complete the course exercises.
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Certification Exam

Everything you need to know about the 55375AC: Fundamentals of Machine Learning certification exam

Exam Details
Exam Name
55375AC: Fundamentals of Machine Learning
Exam Cost
N/A
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
N/A
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Course Curriculum

Structured learning with hands-on labs and real-world scenarios

1
Day 1– Introduction to AI-900: Microsoft Azure AI Fundamentals
Core Concepts of Machine Learning Overview of Azure Machine Learning Studio Setting up Jupyter Notebooks and Python environments Reviewing Essential Math Foundations Applying Scikit-learn libraries for ML
2
Day 2– Data Exploration and Feature Engineering
Visualizing Data Relationships using Matplotlib and Seaborn Analyzing Correlation and Causality Selecting Optimal Model Features Extracting and Scaling Data Features Building Automated Preprocessing Pipelines
3
Day 3– Developing Classification Models with Azure ML
Preparing Datasets for Training in Azure ML Studio Building and Fitting Models using Scikit-learn Implementing Decision Trees and Random Forest Models Executing Logistic Regression and K-Nearest Neighbors Validating Classification Model Performance
4
Day 4– Advanced Classification and Automated ML
Mastering Multi-class Classification Applying One-vs-Rest and One-vs-One strategies Executing Multi-label Classification Tasks Utilizing Automated ML (AutoML) for model selection Optimizing hyperparameters with Azure ML SDK
5
Day 5– Model Evaluation and Deployment
Evaluating Model Metrics (Precision, Recall, F1-Score) Utilizing Gradient Boosted Trees and XGBoost Reviewing Standard Industry Algorithms Deploying Models via Azure ML Endpoints Monitoring Model Performance in Production

What's Included in Your Training

Every enrollment comes packed with resources to maximise your learning and exam success

Hands-On Lab

Live Lab Sandbox

Real Environment

Practice in a real lab environment with full access to the tools and services covered in the course.

30+ Guided Labs

30+

Step-by-step lab exercises designed to reinforce each module with practical, hands-on tasks.

Lab Manual Included

Full Guide

Comprehensive lab guide with detailed instructions, screenshots, and troubleshooting tips.

Post-Training Access

30 Days

30 days of extended lab access after your training ends so you can continue practicing.

Career Outcomes

78%

of 55375AC: Fundamentals of Machine Learning certified professionals report career advancement within 6 months

Salary Impact

+15%

Average salary increase reported after obtaining the 55375AC: Fundamentals of Machine Learning certification

Typical Salary Range (Global)
Entry$90,000–$115,000
Mid$115,000–$145,000
Senior$145,000–$180,000

*Source: Glassdoor / LinkedIn 2025

Job Roles

5
  • AI Engineer
  • Data Analyst
  • Machine Learning Engineer
  • Data Scientist
  • ML Operations Specialist

Companies Hiring

5,000+
Microsoft Accenture Deloitte Infosys Wipro TCS Capgemini Goldman Sachs JP Morgan IBM

and 5,000+ organizations worldwide seeking 55375AC: Fundamentals of Machine Learning certified professionals

Meet Your Instructor

👤
Kuldeep Singh
6+
Years Exp.
5,000+
Students
4.9
Avg Rating

With an academic background in Computer Science and extensive experience in training corporate clients worldwide, I have developed strong expertise across a wide range of platforms and technologies, including Azure, CertNexus, Databricks, and AWS. I am well-versed in programming languages such as Python, Python for Machine Learning, R, Julia, and other object-oriented programming languages. I also hold multiple certifications, including DP-100, AI-102, AI-900, AZ-204, AZ-220, AZ-400, machine learning associate in Databricks and the AWS Machine Learning Specialty. Since the last few years I am also working with agentic AI technology where we can create agents specific to some task and also generic agents using GUI platform and also using code-based approach.

For the past five years, I have been associated with Koenig, where I have delivered high-quality training to clients across various industries. My industry exposure, technical proficiency, and passion for continuous learning enable me to consistently deliver results and contribute significant value to any organization.

 

Associated with Koenig since February 2020.


 

 

Real Transformations

Course Student Reviews

Real results from IT professionals who trained with Koenig — rated 4.9/5 from 18,400+ verified reviews.

18,400+
Verified Reviews
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Average Rating
95%
Would Recommend
1M+
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  • ★★★★★

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    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified

Frequently Asked Questions

Everything you need to know about the 55375AC: Fundamentals of Machine Learning training course

Is the certification exam included in the 55375AC: Fundamentals of Machine Learning course fee, and what is the cost?
The certification exam is not included in the 55375AC: Fundamentals of Machine Learning course fee. Students must register separately for Exam AI-901. The exam costs $99 USD, excluding taxes, with pricing varying by region and local proctoring requirements.
What training formats are available for the 55375AC: Fundamentals of Machine Learning course at Koenig Solutions?
Koenig offers 55375AC: Fundamentals of Machine Learning in Live Online, 1-on-1, Classroom, Fly-Me-A-Trainer, and Self-Paced formats using official Microsoft courseware. All batches are Guaranteed-to-Run, ensuring training proceeds with even one participant, preventing cancellations and providing reliable scheduling.
How long is lab access provided for the 55375AC: Fundamentals of Machine Learning course, and what environment is used?
Lab access for 55375AC: Fundamentals of Machine Learning lasts 30 days. It uses cloud-hosted virtual machines via Koenig’s TechLabs platform. This secure, browser-based environment provides hands-on practice with Azure AI services and essential Python-based machine learning tools.
What is the rescheduling and cancellation policy for the 55375AC: Fundamentals of Machine Learning course?
Koenig allows free rescheduling of 55375AC: Fundamentals of Machine Learning without penalties if requested 7 days before the start date. Cancellations within this window receive full refunds per Koenig’s Terms of Service, offering learners significant scheduling flexibility.
What is the format, question count, passing score, and time limit for the AI-901 exam?
The AI-901 exam includes 40–60 questions, such as multiple-choice and case studies, with a 120-minute limit. The passing score is 700 out of 1000. It measures proficiency in AI workloads, machine learning principles, and Microsoft Azure AI services.
Is the Microsoft Certified: Azure AI Fundamentals certification valid indefinitely, or does it require renewal?
The Microsoft Certified: Azure AI Fundamentals certification does not expire. As a foundational credential, it requires no renewal. Unlike role-based certifications, this Microsoft certification remains active indefinitely, providing long-term validation of your core AI and machine learning skills.
What post-training support does Koenig provide after finishing the 55375AC: Fundamentals of Machine Learning course?
Koenig offers 30 days of post-training support for 55375AC: Fundamentals of Machine Learning. This includes access to expert instructors for doubt resolution, recorded sessions, and community forums. Students also receive career guidance and exam registration assistance for Microsoft certifications.
What are the prerequisites for the 55375AC: Fundamentals of Machine Learning course by Microsoft?
Students need basic knowledge of programming, mathematics, and statistics. Python familiarity is beneficial but not mandatory. No prior machine learning experience is required for 55375AC: Fundamentals of Machine Learning, making it ideal for beginners starting their AI journey.
What career impact follows earning the Microsoft Certified: Azure AI Fundamentals certification?
Earning the Microsoft Certified: Azure AI Fundamentals certification helps professionals secure roles like AI Technician or Data Analyst. U.S. salaries for these roles range from $70,000 to $90,000, significantly boosting employability in organizations leveraging cloud and AI technologies.
How does instructor-led 55375AC: Fundamentals of Machine Learning training compare to self-study for exam success?
Instructor-led 55375AC: Fundamentals of Machine Learning training at Koenig achieves a 95% exam pass rate. This exceeds self-study outcomes through expert-led labs, real-time doubt resolution, and structured coaching on AI-901 exam patterns, ensuring mastery of machine learning concepts.
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