Microsoft Azure Data Fundamental Certification Training Program [DP-203] ( with Hands-on LAB )

Kick-start your Cloud journey with industry-recognized Microsoft certification

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Course Overview

In this course, the student will learn about the data engineering patterns and practices as it pertains to working with batch and real-time analytical solutions using Azure data platform technologies. Students will begin by understanding the core compute and storage technologies that are used to build an analytical solution. They will then explore how to design analytical serving layers and focus on data engineering considerations for working with source files.

The students will learn how to interactively explore data stored in files in a data lake. They will learn the various ingestion techniques that can be used to load data using the Apache Spark capability found in Azure Synapse Analytics or Azure Databricks, or how to ingest using Azure Data Factory or Azure Synapse pipelines. The students will also learn the various ways they can transform the data using the same technologies that are used to ingest data.

The student will spend time on the course learning how to monitor and analyze the performance of analytical systems so that they can optimize the performance of data loads, or queries that are issued against the systems. They will understand the importance of implementing security to ensure that the data is protected at rest or in transit.

The student will then show how the data in an analytical system can be used to create dashboards or build predictive models in Azure Synapse Analytics.

Who is this program for

The primary audience for this course is data professionals, data architects, and business intelligence professionals who want to learn about data engineering and building analytical solutions using data platform technologies that exist on Microsoft Azure. The secondary audience for this course is data analysts and data scientists who work with analytical solutions built on Microsoft Azure.


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upskilled to keep pace with changing technologies


greater job satisfaction

Key Highlights

Specialization & Course Certificates via Shareable URLs

In Class training available

Self-paced learning option

Video lectures and readings for each topic

Practice quizzes for all

Industry Insights (Numbers)

Most organizations are expanding their use of cloud at an accelerated pace to maintain their competitive edge, accelerate innovation and transform interactions with customers, employees, and partners. The COVID-19 pandemic has further increased the speed and scale of cloud adoption. But while cloud is top-of-mind for everyone, there is still work to be done to manage cloud complexity.

In this Harvard Business Review Analytic Services report on The State of Cloud-Driven Transformation, learn how organizations are faring in their cloud journeys and how your organization can build a foundation for greater agility, security, efficiency, and innovation. Top findings include:

A new report by the National Association of Software and Services Companies (NASSCOM), in conjunction with Draup, Tata Consultancy Services (TCS) and Accenture, estimates that the demand for cloud technology professionals is likely to rise and touch around 2 million by 2025.

Companies are hiring



Course Modules

Skills Covered

Tools Covered

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Trainers Info


Hi, my name’s Ganesan. I am the founder of Ameya Cloud, a highly experienced Multi-Cloud Solutions Architect and a successful IT instructor. I’ve been working in IT for over 19 years in various roles ranging from solution development to architecture. Over the last 15 years, I have mainly worked as a Solutions Architect, Data Architect, System Architect, Application Architect, etc…  in the IT space for enterprise organizations.

My experience in IT has included working with Data Analytics, AI/ML solution Development, Digital transformation, virtualization, and cloud computing since its inception. In my most recent consulting role, I worked as an Enterprise Cloud Architect designing Hybrid IT and Digital Transformation solutions.

I have always enjoyed earning IT certifications, and they have helped me immensely with moving upwards throughout my career. These days, my passion is to help others achieve their career goals through in-depth Cloud certification training resources.

That’s why I started Ameya cloud ( ameyacloud. in) – to provide certification training resources for Microsoft Azure, Amazon Web Services (AWS), and Google GCP certifications that represent a higher quality standard than is otherwise available in the market. So far, I have trained more than 5000+ professionals across the globe.


A seasoned leader in strategy and delivery of Enterprise Solutions using Cloud Computing(AWS, Azure & GCP), Big Data (Hadoop & Serverless), Machine Learning and Artificial Intelligence, Data Management Capabilities (MDM, Data Governance, Advanced Analytics).

I am experienced in cloud infrastructure, security, cloud migration, Big data & Serverless architectures on AWS, Azure, and GCP. Proficient knowledge and experience with AI and Machine Learning services on cloud infrastructure.


Dinesh is a Cloud Solutions Architect/DevOps Expert at an Product development company in CANADA with multiple information technology certifications including Microsoft Certified Azure Solutions Architect Expert, Microsoft Certified Azure DevOps Expert, Certified Kubernetes Administrator (CKA), Microsoft Certified Azure Administrator, Microsoft Certified Azure Fundamentals and AWS Certified Solutions Architect.

Dinesh has been privileged enough to have several roles for more than 8+ years as DevOps engineer, senior infrastructure/Cloud engineer, solutions architect as well as cloud security expert.

Dinesh has hands-on experience in architecting/automating and optimizing mission-critical deployment over small & large infrastructure. Proficient with Configuration Management tools and in developing CI/CD pipelines.


Our students go on to launch challenging new careers in the tech industry

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Very insightful and thorough! I recommend Ameya Cloud to anyone who wants to prepare for DP-203 exams as the first place to study. Excellent Course with really good labs that really shows how to work with Azure.
Pratibha Sharma
Pratibha Sharma
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It's a wonderful course for anyone who wants to get Microsoft Azure Data Engineer Certified. The videos are useful to build foundational knowledge as well as develop the pragmatic skill through Lab activities. Thanks a lot Ameya for such great well-structured content.
Sunith Neelanath
Sunith Neelanath
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Excellent Course with awesome examples. Ganesan has created another exceptional course which covers in depth knowledge about the features in Azure Data Engineering.
Sanjaya Kumar
Sanjaya Kumar
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After finishing this course from Ameya I am able to pass the DP-203 exam with 853 points. Thanks to Ameya.
Gaurav Shrivastav
Gaurav Shrivastav
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This course covers all the concepts that would help anyone to become skilled in data engineering concepts in azure. Will recommend the Ameya cloud to everyone.


This course is designed for learners trying to become Data engineers / Data Scientists / Data Analysts and learn the fundamentals of data platform concepts in a cloud environment. It is intended for those with minimal technical background, who are looking to get basic skilling in cloud data services and are looking to build their foundational knowledge of cloud data services within Microsoft Azure. 

Learners will be able to identify and describe core data concepts such as relational, non-relational, big data & analytics, and how this technology is implemented, through cloud data solutions with Microsoft Azure. 

AmeyaCloud, a Microsoft Partner, is undoubtedly the best Azure training provider in Bangalore, Chennai, and other cities in India. Ameya Cloud has trained over 5000 IT professionals from fortune 500 companies in Cloud since 2017. From personalized mentoring to self-paced learning modules, we provide a growth-oriented learning experience to nurture their future.

  • Ameya Cloud training modules are equipped with 50%-60% hands-on lab sessions.

  • Highly interactive virtual and classroom teaching.

  • Qualified instructor-led training and mentoring sessions.

  • Practice lab and projects aligned to Azure learning modules.

  • It has integrated teaching assistance and support.

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