Data Engineering Course at LearnAi

Shape Your Future with Data Engineering Expertise

Why Enroll in the LearnAI Data Engineering Course?

In the age of big data, data engineers play a pivotal role in managing and processing massive volumes of data that fuel modern decision-making and innovation. The ability to build, maintain, and optimize data pipelines is essential for transforming raw data into valuable insights. At LearnAi, we offer a comprehensive Data Engineering course designed to equip you with the skills and knowledge required to succeed in this high-demand field.

Our course, located in the heart of Dilsukhnagar, Hyderabad, covers all aspects of data engineering, including data modeling, ETL processes, database management, cloud platforms, and real-time data processing. With a hands-on approach, industry-relevant tools, and a focus on practical application, this course will help you become a proficient data engineer, capable of managing data infrastructures and ensuring seamless data flow for analytics.

C Programming Course at LearnAI
C Programming Duration
Duration 30 Days
Online & Offline Classes
Mode of Training: Hybrid
 Inclass & Online
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Who Should Enroll in the Data Engineering Course?

Our Data Engineering course is tailored for individuals who aspire to build a career in data engineering or enhance their existing skills:
C Programming for Beginners

Beginners

Individuals with basic knowledge of programming or databases looking to get started in data engineering.
C programming for Academic Student

Developers

Software developers and programmers who want to transition into data engineering roles by mastering data infrastructure and pipelines.
C Programming for Job Professionals

Data Analysts

Professionals who want to enhance their skills by learning how to build data pipelines and manage large datasets effectively.
C Programming for Technology enthusiasts

Data Science Enthusiasts

Aspiring data scientists looking to strengthen their foundation in data engineering and understand the underlying data infrastructure.

 Data Engineering Course Curriculum

The Data Engineering Course follows a comprehensive and systematic curriculum. It includes the following core modules:

Fundamentals in C

  • Program
  • Programming
  • Programming Languages
  • Types of Software
  • Introduction to C
  • History of C
  • Features of C
  • Applications of C
  • Character Set, ASCII Table
  • Tokens
  • Keywords
  • Identifiers & Naming Rules
  • Constants
  • Data Types
  • Type Qualifiers
  • How Data is Stored in Computer Memory
  • Variables
  • Variable Declaration
  • Variable Assignment
  • Variable Initialization
  • Comments
  • Defining Constants

Input-Output Functions

  • Input-Output Library Functions
  • Non-Formatted Input and Output
  • Character-Oriented Library Functions
  • Compiler, Linker, and Loader
  • Program Execution Phases
  • Formatted Library Functions
  • Mathematical Library Functions
  • Structure of a C Program
  • IDE
  • Basic Programs

Arrays

  • Arrays
  • One-Dimensional Arrays
  • Declaration of 1D Arrays
  • Initialization of 1D Arrays
  • Accessing Elements of 1D Arrays
  • Reading and Displaying Elements
  • Programs on 1D Arrays
  • Two-Dimensional Arrays
  • Declaration of 2D Arrays
  • Initialization of 2D Arrays
  • Accessing Elements of 2D Arrays
  • Reading and Displaying Elements
  • Programs on 2D Arrays
  • Three-Dimensional Arrays

Pointers

  • Understanding Memory Addresses
  • Pointer Operators
  • Pointer
  • Pointer Advantages and Disadvantages
  • Declaration of Pointer Variables
  • Initialization of Pointer Variables
  • Dereferencing / Redirecting Pointer Variables
  • Declaration versus Redirection
  • Void Pointer
  • Null Pointer
  • Compatibility
  • Array of Pointers
  • Pointer to Pointer
  • Pointer Arithmetic
  • Dynamic Memory Allocation Functions

Storage Classes

  • Object Attributes
  • Scope
  • Extent
  • Linkage
  • auto
  • static
  • extern
  • register

Structures, Unions, Enumerations and Typedef

  • Structures
  • Structure Type Declaration
  • Structure Variable Declaration
  • Initialization of Structure
  • Accessing the Members of a Structure
  • Programs Using Structures
  • Operations on Structures (Copying and Comparing Structures)
  • Nested Structures (Complex Structures)
  • Structures Containing Arrays (Complex Structures)
  • Array of Structures (Complex Structures)
  • Pointer to Structure
  • Accessing Structure Member through Pointer Using Dynamic Memory Allocation
  • Pointers within Structures
  • Self-Referential Structures
  • Passing Structures to Functions
  • Functions Returning Structures
  • Unions
  • Differences between Structures & Unions
  • Enumerated Types / enum Keyword
  • The Type Definition / typedef Keyword
  • Bit Fields

Operators and Expressions

  • Arithmetic Operators
  • Arithmetic Expressions
  • Evaluation of Expressions
  • Relational Operators
  • Logical Operators
  • Assignment Operators
  • Increment & Decrement Operators
  • Conditional Operator
  • Bitwise Operators
  • Type Casting
  • Sizeof Operator
  • Comma Operator
  • Operators Precedence and Associativity
  • Expressions
  • Evaluation of Expressions

Control Statements

  • Conditional Control Statements
  • if
  • if-else
  • Nested if-else
  • if-else-if Ladder
  • Multiple Branching Control Structure
  • switch-case
  • Loop Control Statements
  • while
  • do-while
  • for
  • Nested Loops
  • Jump Control Structures
  • break
  • continue
  • goto
  • return
  • Programs

Strings

  • String Concept
  • Introduction to Strings in C
  • Storing Strings
  • The String Delimiter
  • String Literals (String Constants)
  • Strings and Characters
  • Declaring Strings
  • Initializing Strings
  • Strings and the Assignment Operator
  • String Input Functions / Reading Strings
  • String Output Functions / Writing Strings
  • String Input-Output using fscanf() and fprintf() Functions
  • Single Character Library Functions / Character Manipulation in Strings
  • String Manipulation Library Functions
  • Programs Using Character Arrays
  • Array of Strings (2D Character Arrays)
  • Programs Using Array of Strings

Functions

  1. Functions
  2. Advantages of Using Functions
  3. Defining a Function
  4. Calling a Function
  5. Return Statement
  6. Function Prototype
  7. Basic Function Designs
  8. Programs Using Functions
  9. Scope
  10. Recursion
  11. Iteration vs Recursion
  12. Nested Functions
  13. Variable Length Number of Arguments
  14. Parameter Passing Techniques – Call by Value & Call by Address
  15. Functions Returning Pointers
  16. Pointers and One-Dimensional Arrays
  17. Pointers and Two-Dimensional Arrays
  18. Passing 1D Arrays to Functions
  19. Passing 2D Arrays to Functions
  20. Pointers and Strings
  21. Passing Strings to Functions
  22. Pointer to Function

Preprocessor Directives

  • The #include Preprocessor Directive & User Defined Header Files
  • The #define Preprocessor Directive: Symbolic Constants
  • The #define Preprocessor Directive: Macros
  • Conditional Compilation Directives
  • #if
  • #else
  • #elif
  • #endif
  • #ifdef
  • #ifndef
  • #undef
  • #error
  • #line
  • #pragma

Course Overview

The LearnAi Data Engineering course is a structured, hands-on learning experience designed to equip you with the core skills needed to manage data pipelines, databases, and large-scale data systems. Over the course of multiple weeks, you will gain in-depth knowledge of data engineering concepts, tools, and techniques, preparing you for real-world data infrastructure challenges.
C Programming Course Overview at Learnai

Skills You Will Gain

By the end of the LearnAi Data Engineering course, you will acquire a strong skill set essential for a successful career in data engineering:

C Programming Expertise

Data Pipeline Management

Design and implement efficient data pipelines that automate the movement and transformation of data.
Problem-Solving Capabilities

Database Design and Optimization

Master relational and NoSQL databases, including optimization and indexing techniques.
Collaborative Skills

ETL Automation

Automate the ETL processes using industry-standard tools and frameworks.
Software Development Knowledge

Cloud Data Solutions

Gain expertise in building and managing data solutions on cloud platforms like AWS, Azure, and Google Cloud.
Software Development Knowledge

Big Data Processing

Work with Big Data frameworks such as Hadoop and Apache Spark to process large-scale datasets.
Software Development Knowledge

Real-Time Data Processing

Learn how to manage and process real-time data streams for immediate insights.

Learn Data Engineering Course from beginners to advanced in Three Phases

The LearnAi Data Engineering course is divided into three key phases to provide a well-rounded learning experience:

1. Exploration

Industrial Standard Course Structure
Industrial Standard Course Structure
Job Oriented Programs
Job Oriented Programs
Domain Expertise Trainers
Domain Expertise Trainers
Recording Sessions
Recording Sessions
24/7 Portal Access
24/7 Portal Access
1 to 1 Mentorship
1 to 1 Mentorship
C Programming Exploration

2. Understanding

C Programming Understanding
Doubt Sessions
Doubt Sessions
Daily Assignments
Daily Assignments
Weekly Test
Weekly Test
Project Explanations
Project Explanations
Project Implementation
Project Implementation
Course Completion Certifications
Course Completion Certifications

3. Achievement

Resume Preparations
Resume Preparations
Interview Preparation
Interview Preparation
Mock Interviews
Mock Interviews
Internships Oppurtunity
Internships Oppurtunity
Resume Marketing
Resume Marketing
100% Job Assistance
100% Job Assistance
C Programming Achievement

Tools and Technologies

• Apache Kafka
• Apache Spark
• Apache Nifi
• Talend
• AWS S3, Redshift, EMR
• Google BigQuery
• Snowflake
• Hadoop
• SQL/NoSQL Databases (PostgreSQL, MongoDB)
• Docker, Kubernetes
• Airflow

Job Roles

• Data Engineer
• Data Architect
• ETL Developer
• Cloud Data Engineer
• Big Data Engineer
• Data Pipeline Engineer
• Data Analyst (with engineering skills)
• Database Administrator
• Systems Engineer


Enroll in the LearnAi Data Engineering course today to unlock your potential and kickstart your career in one of the most sought-after fields in technology!

FAQs

What is C programming?

  • C is a high-level programming language known for its efficiency and control over hardware, widely used in system and application software development.

What are the main features of C programming?

  • C is praised for its simplicity, portability, efficiency, and capability for direct memory manipulation.

What are pointers in C, and why are they important?

  • Pointers are variables that store memory addresses, essential for dynamic memory management and efficient data handling.

How does C differ from C++?

  • C is a procedural language focused on functions, while C++ extends C with object-oriented features like classes and inheritance for more complex programming.

What makes LearnAI courses exceptional?

  • Our courses feature cutting-edge curricula, expert instructors, and hands-on projects that provide practical experience and real-world applicability.

How qualified are LearnAI instructors?

  • Our instructors are experienced professionals with extensive industry backgrounds, offering valuable insights and skills.

What kind of support do students receive?

  • Students benefit from personalized mentorship, detailed feedback, and extensive support throughout their learning process.

How does LearnAI support career growth?

  1. We offer career services including resume building, interview coaching, and job placement assistance to help you advance in your career.li>

We Provide Higher Quality Services

AND YOU’LL GET SOLUTIONS FOR EVERYTHING

For upcoming Data Engineering Course in Dilsukhnagar
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