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Discover the Academy of Data, your gateway to mastering the art of data engineering. Our specialized training programs delve deep into Azure, AWS with Snowflake, Data Science, Talend, and more, equipping you with practical skills demanded by today’s data-driven world. At the Academy of Data, we’re committed to your success. Our meticulously crafted curriculum, developed by industry veterans, ensures you receive the latest insights and hands-on experience to excel in data engineering roles.
Core Cloud Concepts: Understanding IaaS, PaaS, SaaS, and public/private cloud models.
Cloud Networking Fundamentals: Virtual networks, subnets, and cloud security frameworks.
Lab Environment setup: Initial infrastructure configuration via the Azure Portal.
Databricks Workspace Administration: Workspace creation, cluster scaling settings (Standard, High Concurrency, Single Node), PAT authentication, and user/group access control.
Pyspark Dataframe API: Distributed RDD/Dataset transformations, dataframe methods (lit, cast, withColumn), and SparkSQL processing.
Databricks Delta Lakes: ACID compliance validation, time-travel history queries, and building internal/external managed tables.
Infrastructure & Identity: Setting up secure cloud environments using Identity and Access Management (IAM) user roles, groups, and explicit permission policies.
Core Compute Services: Deploying and scaling cloud servers using Amazon EC2 frameworks alongside serverless architectures via AWS Lambda microservices.
AWS ETL Integrations: Constructing automated data pipelines with AWS Glue catalogs, transforming big data clusters using Amazon EMR, and running serverless queries using Amazon Athena.
Architecture Core: Deep dive into Snowflake’s unique three-layer architecture (Storage, Compute/Virtual Warehouses, and Cloud Services).
Data Engineering Ingestion: Managing continuous data loading using bulk copy commands, Snowpipe automated streams, and file format configurations.
Advanced Data Management: Implementing zero-copy cloning, data time-travel features, fail-safe mechanisms, and secure data sharing across accounts.
Streamlit Integration: Building data-driven dashboards and deploying custom Streamlit applications directly within the Snowflake ecosystem.
Data Modeling & Design: Designing optimized relational star-schemas utilizing distinct dimensional tables and transactional fact tables.
Visual Optimization: Authoring complex DAX measures, building interactive dashboard matrices, and deploying secure parameterized workspaces within the Power BI Service.
In partnership with Databricks, we deliver an industry-aligned curriculum that prepares learners with practical, hands-on skills for modern data engineering careers.
Live online and offline sessions, dedicated doubt clarification, flexible learning options, and continuous guidance from experienced industry mentors.
Work on real-world, industry-based projects to gain practical experience, build a strong portfolio, and develop the skills needed to succeed in data engineering and analytics roles.
Earn industry-recognized certifications, build an ATS-friendly resume, prepare through mock interviews, and receive end-to-end placement support to launch your career with confidence.
"This institute Academy of data help me to gain knowledge on sql,python,pyspark,databricks . Trainers help me towards the technical and practical work on the projects which helps for me to gain knowledge and as well they have good environment with the students. This place is quite pleasant for learning and good infrastructure of office. This is the best One i would recommend for learning of data engineer course."
"Academy of data provides good subject knowledge with clear and understandable teaching. Overall, the subject coverage is helpful for building strong fundamentals."
"I completed the AWS Data Engineer course at Academy of Data and my experience was very good. The trainers are knowledgeable and explain concepts in a simple and practical way. The hands on training and realtime projects helped me improve my skills. The placement support team was also very supportive, and recently I got placed in a company. Thank you to the entire team for their guidance and support "
"I had a good learning journey with the Academy of Data – Data Engineering course.The instructors explained every concept clearly and made the topics easy to understand.The hands-on projects provided valuable real-time practical experience.This course strengthened my technical knowledge and boosted my confidence.The support from mentors was very helpful throughout the training.The course content was well-structured and aligned with industry requirements. "
"I had a great learning experience with Academy of Data. The training was well-structured, practical, and focused on real-time industry concepts. The mentors were supportive and always ready to clarify doubts, which helped me build confidence in my data engineering skills. A good place to start or upgrade your data career."
"I completed the Data Engineering course at Academy of Data. The trainers explained every topic clearly with practical examples. The hands-on sessions and placement support helped me gain confidence. Thank you to the entire team."
"I had a great experience learning Data Engineering at Academy of Data. The practical training, expert guidance, and placement assistance helped me improve my skills. Highly recommended"
"Academy of Data provided excellent Data Engineering training with hands-on projects and easy-to-understand explanations. The trainers and placement team were very supportive throughout my learning journey"
"The Data Engineering course at Academy of Data exceeded my expectations. The trainers were friendly and experienced, the practical sessions were very useful, and the placement support was outstanding. Thank you to the entire team for all the guidance and support"
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