Data Engineering Institute in Hyderabad| Ameerpet Technologies

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Are You looking for Best Data Engineering institute in Hyderabad, Ameerpet technologies providing both Online and Offline Training in Data Engineering course. Enroll our Data Engineering course in Hyderabad designed by the industry experts from IITs and Top MNCs. With a curriculum designed based on the company’s skill requirements, become job-ready with an Industry-ready certificate.

150+ Hours | Get Hired In 4 Months | 100% Placement Assurance

About Data Engineering Course:

About Data Engineering Course:

The Data Engineering course at Ameerpet Technologies, taught by Srinivas Garapati, covers a wide range of important tools and technologies used for working with data. Students learn about programming languages like Python, R, SQL, PL/SQL, HTML, CSS, and JavaScript. They also study advanced topics like Pyspark, Scala, Apache Spark, and Big Data tools such as Pig and Hive. Additionally, they become familiar with cloud platforms like Azure or AWS, as well as CI/CD pipelines for automating software delivery. Through practical projects and guidance from Garapati, students develop the skills needed to become effective data engineers, ready to succeed in today’s data-driven world.

About Data Engineering Course:

  • Expert Trainers
  • Daily work sheets
  • Instant Practice in Class room
  • Printed Materials
  • Soft copies of all materials
  • Weekly Mock Tests
  • Practice on Famous Coding Platforms
  • LMS registration
  • LIVE Coding Projects
  • LIVE Coding Projects
  • Resume preparations and interview based questions
  • Certified level training
  • Affordable Fees
  • Videos Backup
  • Placement Support
  • 24X7 online support for doubts clearance
  • Feedback Mangement

Data Engineering Developer Eligibility:

  • Any Degree – B. Tech, BSc, B.Com, BBA, etc.
  • All IT & Non-IT Branches – CSE, EEE, Civil, Mech, Bio, etc
  • No prior coding knowledge is required.
  • No CGPA cut-off. Career gap is not a barrier.

Data Engineering institute in Hyderabad Syllabus:


  • Basic Python concepts

  • Data types and variables

  • Control flow statements

  • Functions and modules

  • Data structures

  • File handling

  • Exception handling

  • Object-oriented programming

  • Python libraries and packages


  • Intro to R programming
  • Data types and structures
  • Data manipulation
  • Data visualization
  • Statistical analysis
  • R Markdown
  • Data import/export
  • Community resources
  • Handling missing data


  • Intro to databases
  • SQL syntax
  • Retrieving data
  • Filtering and sorting
  • Joins and subqueries
  • Data modification
  • User management
  • Indexes and constraints
  • Backup and restore


  • Intro to PL/SQL
  • Data types and variables
  • Data types and variables
  • Cursors and triggers
  • Cursors and triggers


  • Intro to PySpark
  • Data manipulation
  • Machine learning
  • Data loading
  • Spark SQL
  • Streaming data
  • Deployment
  • Deployment
  • Monitoring


  • Intro to Scala
  • Syntax and data types
  • Object-oriented concepts
  • Object-oriented concepts
  • Object-oriented concepts
  • Error handling
  • Concurrency
  • Type system
  • REPL and SBT

Apache Spark:

  • Intro to Spark
  • Spark architecture
  • Spark architecture
  • Spark SQL
  • Spark Streaming
  • MLlib
  • GraphX
  • Optimization
  • Deployment options


  • Intro to HTML
  • Basic structure
  • Tags and elements
  • Text formatting
  • Lists and tables
  • Forms and inputs
  • Hyperlinks
  • Images and multimedia
  • HTML5 features


  • Intro to CSS
  • Apply CSS to HTML
  • Syntax and selectors
  • Styling elements
  • Box model
  • Text and font properties
  • Positioning and layout


  • Intro to JavaScript
  • Syntax and variables
  • Control flow
  • Arrays and objects
  • DOM manipulation
  • Event handling
  • Asynchronous programming
  • Cookies and storage
  • Validation and error handling

Azure or AWS:

  • Intro to cloud computing
  • Account setup
  • Compute services
  • Storage services
  • Networking
  • Database services
  • Identity and access
  • Monitoring and logging
  • Deployment tools

CI/CD pipelines:

  • Intro to CI/CD
  • Version control
  • Automated builds
  • Continuous deployment
  • Pipeline tools
  • Infrastructure as Code
  • Deployment strategies
  • Monitoring pipelines
  • Security considerations

Data Engineering


Career after Data Engineering course:

After finishing a data engineering course, you have lots of job options

  1. Data Engineer: You work on building and managing systems to collect and analyze data.
  2. Big Data Engineer: You focus on handling large amounts of data using special tools.
  3. Cloud Data Engineer: You build and manage data systems using cloud platforms like AWS or Azure.
  4. Data Architect: You design the structure of data systems in a company.
  5. Business Intelligence Developer: You create tools to help companies make decisions based on data.
  6. Data Warehouse Developer: You build and manage systems to store and organize data.
  7. Machine Learning Engineer: You work on building systems that learn from data to make predictions.
  8. Data Integration Specialist: You make sure data from different places can work together.
  9. Data Quality Analyst: You check data to make sure it’s accurate and useful.
  10. Data Governance Manager: You create rules and processes for managing data in a company.
Why Ameerpet Technologies for Data Engineering course:

Expert Guidance: Ameerpet Technologies provides guidance from experienced instructors like Srinivas Garapati, who bring real-world expertise to the classroom.

Comprehensive Curriculum: The institute offers a comprehensive curriculum covering essential tools and technologies in Data Engineering, ensuring that students gain a well-rounded understanding of the subject.

Hands-on Learning: The courses at Ameerpet Technologies typically include practical exercises, case studies, and real-world projects, allowing students to apply their knowledge in a practical setting.

Industry-Relevant Skills: With a focus on tools and technologies widely used in the industry, students can develop skills that are highly relevant to today’s job market.

Placement Assistance: Ameerpet Technologies may offer placement assistance or career support services to help students transition into the workforce after completing their course.

Flexible Learning Options: Depending on the institute’s offerings, students may have access to flexible learning options such as online courses, part-time classes, or self-paced study materials.

Reputation and Reviews: Researching the institute’s reputation and reading reviews from past students can provide valuable insights into the quality of education and support offered by Ameerpet Technologies.