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DP-100 Designing and Implementing a Data Science Solution on Azure

Live Online (VILT) & Classroom Corporate Training Course

This training prepares for DP-100 examination.

Expert-Led VILT & Classroom Hands-On CloudLabs Certification Voucher Available
Microsoft Azure
CloudLabs
Projects
Assessments
24/7 Support
Lifetime Access

Overview

Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure.

Objectives

At the end of Designing Implementing Microsoft Azure Networking Solutions (AZ-700) training course, participants will learn

  • Design, implement and manage hybrid network connections | Design and implement core Azure networking infrastructure | Design and implement routing and load balancing in Azure | Secure and monitor networks | Design and implement private access to Azure Services | Design, implement and manage hybrid network connections
  • Design and implement core Azure networking infrastructure
  • Design and implement routing and load balancing in Azure
  • Secure and monitor networks
  • Design and implement private access to Azure Services

Prerequisites

Successful Azure Data Scientists start this role with a fundamental knowledge of cloud computing concepts, and experience in general data science and machine learning tools and techniques. | Specifically: | Creating cloud resources in Microsoft Azure. Using Python to explore and visualize data. Training and validating machine learning models using common frameworks like Scikit-Learn, PyTorch, and TensorFlow. Working with containers

Course Outline

  • Introduction to Azure Machine Learning
  • Working with Azure Machine Learning

  • Automated Machine Learning
  • Azure Machine Learning Designer

  • Introduction to Experiments
  • Training and Registering Models

  • Working with Datastores
  • Working with Datasets

  • Working with Environments
  • Working with Compute Targets

  • Introduction to Pipelines
  • Publishing and Running Pipelines

  • Real-time Inferencing
  • Batch Inferencing
  • Continuous Integration and Delivery

  • Hyperparameter Tuning
  • Automated Machine Learning

  • Differential Privacy
  • Model Interpretability
  • Fairness

  • Monitoring Models with Application Insights
  • Monitoring Data Drift

Available Training Modes

Pick the format that fits your team.

Same authorised curriculum, same trainers, same hands-on cloud labs — delivered the way that works for you.

Live Online (VILT)

Real-time instructor-led sessions over Zoom or Teams. Same classroom, different time zones.

Most popular

Classroom

Face-to-face training delivered at your office, our Bengaluru centre, or any partner venue worldwide.

Onsite

Self-Paced

Recorded sessions plus 24/7 access to cloud labs and assessments. Learn at the pace that works for each engineer.

On-demand

Blended

Live workshops with self-paced reinforcement and project-based labs. Best for hybrid teams across regions.

Hybrid teams
All modes include: hands-on cloud labs, recordings, assessments, certificate of completion. Talk to a solutions advisor →

Our Training Process

How a course becomes measurable skill.

One contract, five steps, zero handoffs. From discovery to deployment, the same Synergific team owns the outcome — not a chain of vendors.

5 Steps from your scoping call to certified, productive engineers.
01

Discover & set goals

We start with a scoping call to understand your team's current skill level, target outcomes, deadlines, and certification needs — then translate that into a measurable success plan with named owners on both sides.

02

Curate the right path

We map the optimal learning path — instructor-led, self-paced, or blended — with hands-on cloud labs, prerequisite refreshers, and certification vouchers built in. No filler modules, no padded curriculum.

03

Deliver hands-on training

Authorised trainers run live sessions backed by 24/7 cloud labs and real-world projects. Theory and practice on the same day — learners stop forgetting concepts before they get to apply them.

04

Assess & mentor

Continuous skill checks, mock exams, and 1:1 mentoring keep the program honest. If anyone falls behind, we course-correct in-flight — you'll never find out at the end that two engineers couldn't keep up.

05

Certify & apply on the job

Voucher-backed certification, post-training office hours, and 30-day reinforcement so skills land on real work — not just on the exam scorecard. Success measured after the course ends, not before.

Client Stories

What our clients say

Voices from L&D leaders, architects, and program managers who’ve trusted us with their upskilling.