AI-300T00: Operationalize machine learning and generative AI solutions

Your Price
$2,495
Training only
Add the exam voucher now, or purchase it separately later — your choice carries to checkout.

Details

Description

Duration: 4 days

This course prepares learners to design, implement, and operate Machine Learning Operations (MLOps) and Generative AI Operations (GenAIOps) solutions on Azure. It covers building secure and scalable AI infrastructure, managing the full lifecycle of traditional machine learning models with Azure Machine Learning, and deploying, evaluating, monitoring, and optimizing generative AI applications and agents using Microsoft Foundry. Learners will gain hands-on knowledge of automation, continuous integration and delivery, infrastructure as code, and observability by using tools such as GitHub Actions, Azure CLI, and Bicep. The course emphasizes collaboration with data science and DevOps teams to deliver reliable, production-ready AI systems aligned with modern MLOps and GenAIOps best practices.

Target Audience

This course is intended for data scientists, machine learning engineers, and DevOps professionals who want to design and operate production-grade AI solutions on Azure.

Prerequisites

It is suited for learners with experience in Python, a foundational understanding of machine learning concepts, and basic familiarity with DevOps practices such as source control, CI/CD, and command-line tools, who are preparing to implement MLOps and GenAIOps workflows using Azure-native services.

Certification Exam

This course prepares you for the AI-300 certification exam (Microsoft Certified: Machine Learning Operations Engineer Associate). An exam voucher can be added at registration.

What's Included

What’s included?

  • Authorized Courseware
  • Intensive Hands on Skills Development with an Experienced Subject Matter Expert
  • Hands on practice on real Servers and extended lab support 1.800.482.3172
  • Examination Vouchers & Onsite Certification Testing – (excluding Adobe and PMP Boot Camps)
  • Academy Code of Honor: Test Pass Guarantee
  • Optional: Package for Hotel Accommodations, Lunch and Transportation

Training Solutions

With several convenient training delivery methods offered, The Code Academy makes getting the training you need easy. Whether you prefer to learn in a classroom or an online live learning virtual environment, training videos hosted online, and private group classes hosted at your site. We offer expert instruction to individuals, government agencies, non-profits, and corporations. Our live classes, on-sites, and online training videos all feature certified instructors who teach a detailed curriculum and share their expertise and insights with trainees. No matter how you prefer to receive the training, you can count on The Code Academy for an engaging and effective learning experience.

Methods

  • Instructor Led (the best training format we offer)
  • Live Online Classroom – Online Instructor Led
  • Self-Paced Video

Speak to an Admissions Representative for complete details

Schedule

StartFinishPublic PricePublic Enroll Private PricePrivate Enroll
9/28/202610/1/2026
10/19/202610/22/2026
11/9/202611/12/2026
11/30/202612/3/2026
12/21/202612/24/2026
1/11/20271/14/2027
2/1/20272/4/2027
2/22/20272/25/2027
3/15/20273/18/2027
4/5/20274/8/2027
4/26/20274/29/2027
5/17/20275/20/2027
6/7/20276/10/2027
6/28/20277/1/2027
7/19/20277/22/2027
8/9/20278/12/2027
8/30/20279/2/2027
9/20/20279/23/2027

Curriculum

Learning Objectives
  • Operationalize machine learning models (MLOps)
  • Operationalize generative AI applications (GenAIOps)
Course Outline
Module 1: Operationalize machine learning models (MLOps)
  • Get started with machine learning in Azure
  • Experiment with Azure Machine Learning
  • Run training scripts and track models with MLflow in Azure Machine Learning
  • Perform hyperparameter tuning with Azure Machine Learning
  • Run pipelines in Azure Machine Learning
  • Automate model training with GitHub Actions
  • Deploy and monitor a model in Azure Machine Learning
Module 2: Operationalize generative AI applications (GenAIOps)
  • Plan and prepare a GenAIOps solution
  • Manage prompts for agents in Microsoft Foundry with GitHub
  • Evaluate and optimize AI agents through structured experiments
  • Automate AI evaluations with Microsoft Foundry and GitHub Actions
  • Monitor your generative AI application
  • Analyze and debug your generative AI app with tracing