
CAREER TRACK
Multi-cloud Data Architect Career Track
Become an expert in Multi Cloud Data Engineering domain
100% LIVE Interactive Classes
Become an expert in Multi Cloud Data Engineering domain

100% LIVE Interactive Classes
Reserve your spot today!
Basic Info
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Application closes on:22 May 2026
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What is in it for you?
100% Live Classes
Instructor-led Live Sessions
Attend 4 weeks of instructor led live classes from the top 1% industry experts
Projects & Case Studies
Projects & Case Studies
Gain hands-on experience with projects and real-world case studies for impactful learning.
Verified Certificate
Verified Certificate
Earn a industry recognized certificate and kick start your career
Session Recordings
Session Recordings
Revisit older chapters anytime with recorded sessions
Flexible Schedule
Flexible Schedule
Choose live classes from different cohorts that fit your availability.
Hands-on Classes
Hands-on Classes
Hands-on classes to enhance your learning experience
100% Moneyback Guarantee
Grab your slot before the offer expires
Reserve your spot today!
Basic Info
Select Offers
Application closes on:22 May 2026
Get instant access of pre-course material!
Talk to Us
We’re here to help! Reach us at:
Learn from Top 1%
Sr. Managers, VPs, CXOs, Directors & Founders from companies shaping the future.

Combo Offers
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Available in 4 monthly installments at $344/month
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Curriculum
Duration: 36 weeks
Max Batch Size: 15 persons
Live Sessions Schedule
Sat - Sun (Weekends Only)
Timing 7:00 AM - 9:00 AM / 8:30 AM - 10:30 AM / 11:00 AM - 1:00 PM / 5:00 PM - 7:00 PM / 7:30 PM - 9:30 PM EST
- Setting up Python and choosing an IDE
- Basic syntax and data types
- Variables and operators
- Input/output operations
- Basic string operations
- Writing your first program
- Best practices for code formatting (PEP 8)
Mentors

20+ Years, Sr. Director, PayTm

20+ Years, Sr. Engineering Manager, Amazon

20+ Years, Ex-Microsoft, Ex-Morgan Stanley
Course Includes

LIVE Interactive Sessions

Quizzes, Assignments & Projects

Study Materials & Session Recordings

Certificate
Course Includes

LIVE Interactive Sessions

Quizzes, Assignments & Projects

Study Materials & Session Recordings

Certificate
Course Pre-requisites
This program starts from scratch, no prerequisites required
Outcomes
Become a professional multi-cloud data architect
Build end-to-end data pipelines using Python, SQL, and cloud-native ETL tools across AWS and Azure
Design and implement data lake, data warehouse, and lakehouse architectures on multi-cloud platforms
Analyse and visualize large datasets using Pandas, Matplotlib, Seaborn, and Power BI
Implement scalable data engineering workflows using Azure Databricks, Apache Spark, and Delta Lake
Architect serverless and managed data solutions on AWS using S3, Glue, Athena, Redshift, and Lambda
Administer and secure Azure cloud resources including Azure Data Factory and Azure Synapse Analytics
Implement data governance, security, and cost optimization strategies across multi-cloud environments
Prepare for industry-recognized cloud certifications including AWS and Azure data engineering exams
Projects You Will Build
Practical, enterprise-grade projects that reflect real industry challenges
Retail Analytics Data Pipeline and Dashboard
Build an end-to-end data pipeline that ingests, cleans, and transforms retail sales data using Python, Pandas, and SQL. Create interactive visualizations with Matplotlib, Seaborn, and Power BI to surface key business KPIs such as revenue trends, customer segmentation, and inventory performance.
Serverless Data Lake on AWS
Design and implement a scalable, cost-effective data lake architecture on AWS using S3 for storage, Glue for ETL, and Athena for serverless querying. Ingest data from multiple structured and semi-structured sources, apply schema-on-read transformations, and enable self-service analytics for business stakeholders using Redshift Spectrum.
Real-Time IoT Data Processing on Azure Databricks
Architect a real-time streaming data pipeline on Azure Databricks using Apache Spark Structured Streaming and Delta Lake to ingest and process IoT sensor data. Integrate with Azure Data Factory for orchestration and Power BI for live monitoring dashboards, implementing a medallion lakehouse architecture for data quality management.

for successfully completing the 'Multi-cloud Data Architect Career Track' course conducted from 11 Sep 2025 to 21 May 2026
Add a Industry Recognized
Certificate To Your Resume
Industry Recognized
Certificate
Learn the best from the best

Career Advancements
Elevate your career with a respected certificate

Industry Respect
Gain credibility in the field

Networking
Connect with experts and peers

Opportunities
Attract exciting job prospects and promotions


for successfully completing the 'Multi-cloud Data Architect Career Track' course conducted from 11 Sep 2025 to 21 May 2026

100% Moneyback Guarantee
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Frequently Asked Questions
Everything you need to know about the course
No prior experience is required. This 36-week program starts from scratch, beginning with Python programming fundamentals and data analysis basics before progressing to advanced cloud architecture topics on AWS and Azure.
The curriculum covers Python programming, data analysis with Pandas and visualization libraries, SQL development, Azure administration, Azure Databricks and Apache Spark for data engineering, Delta Lake for lakehouse architecture, AWS services including S3, Glue, Athena, Redshift, and Lambda, and multi-cloud data architecture design patterns.
You should plan for approximately 10-15 hours per week over the 36-week duration. This includes video lectures, hands-on labs, project work, and certification preparation exercises.
You will build multiple real-world projects including a retail analytics data pipeline with dashboard visualization, a serverless data lake architecture on AWS, and a real-time IoT data processing system on Azure Databricks. Each project mirrors industry scenarios and builds your professional portfolio.
Graduates are prepared for roles such as Data Engineer, Cloud Data Architect, Big Data Specialist, Databricks Developer, Analytics Consultant, and Machine Learning Engineer. The multi-cloud expertise across AWS and Azure makes you highly versatile in the job market.
Yes, the curriculum is aligned with preparation for leading cloud certifications including AWS Certified Data Analytics, Azure Data Engineer Associate, and Databricks Certified Data Engineer certifications. Dedicated exam preparation modules and practice exercises are included.
The Micro Degree course is an online LIVE course, where LIVE sessions will be conducted online on our Classroom platform. Prior to the start of the course, you'll receive preparatory material in the form of recorded content which can be access on the same platform.
In this course instructors will use English language for teaching.
Upon successful registration, you will receive a confirmation email on your registered email ID. In this email you will receive login details for your newly created account on the Edyoda Classroom platform (https://classroom.edyoda.com). Additionally, you will receive a PDF guide containing step-by-step instructions on how to utilize the platform to access live sessions and learning materials.
Our instructors are the industry experts with a minimum working experience of 10 years with a strong technical and teaching background. They bring industry knowledge and practical expertise to the course.
Yes, the course includes online assignments, quizzes, and a final project to reinforce your learning and assess your proficiency in Multi-cloud Data Architect Career Track.
Yes, you can interact with instructors and fellow students through discussion forums, live Q&A sessions. We encourage a supportive learning community.
We offer a 100% money-back guarantee to ensure your complete satisfaction. If you're not satisfied, you can request a full refund within 3 days of purchase or before the second session, whichever comes earlier. Simply contact our support team(support@edyoda.com) with your purchase details, such as the order ID or email address, and share your reason for the refund. Requests made after 3 days or after the second session will not be eligible for a refund. There are no hidden charges, you will receive the full amount paid. Refunds are processed within 7–10 business days and credited back to your original payment method.
