MLOps Course at LearnAi

Master the Art of Deploying and Managing Machine Learning Models

Why Enroll in the LearnAI MLOps Course?

In the fast-evolving world of Machine Learning, MLOps (Machine Learning Operations) has emerged as a crucial discipline to streamline the deployment, management, and monitoring of ML models in production environments. MLOps ensures that models are not only accurate but also scalable, reliable, and continuously optimized to meet the demands of real-world applications. At LearnAi, our MLOps course is designed to equip you with the skills and knowledge needed to bridge the gap between data science and software engineering, enabling you to deploy and manage ML systems effectively.

Located in Dilsukhnagar, Hyderabad, LearnAi provides a comprehensive MLOps curriculum that covers essential concepts such as version control, model deployment, continuous integration and delivery (CI/CD) for ML, monitoring, and collaboration between data scientists and IT teams. Whether you're looking to enhance your current skill set or shift your career into the growing field of MLOps, this course is tailored to provide practical insights and hands-on experience with industry-standard tools and platforms.

Duration 30 Days

Mode of Training: Hybrid
Inclass & Online

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Who Should Enroll in the MLOps Course?

The LearnAi MLOps course is ideal for anyone aiming to enhance their skills in deploying and managing ML models in production. This course is suitable for:

Machine Learning Engineers

Professionals who want to master the process of operationalizing ML models and deploying them in real-world applications.

Data Scientists

Data scientists who want to take their models from development to production and ensure their models continue to perform reliably.

Software Engineers

Developers interested in learning how to integrate machine learning into production-level applications and infrastructure.

DevOps Engineers

DevOps professionals looking to expand their expertise into the MLOps domain to support the deployment and maintenance of ML systems.

DevOps Course Curriculum

The DevOps 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

Functions
 Advantages of Using Functions
 Defining a Function
Calling a Function
 Return Statement
Function Prototype
 Basic Function Designs
 Programs Using Functions
 Scope
 Recursion
 Iteration vs Recursion
 Nested Functions
 Variable Length Number of Arguments
 Parameter Passing Techniques – Call by Value & Call by Address
 Functions Returning Pointers
 Pointers and One-Dimensional Arrays
 Pointers and Two-Dimensional Arrays
 Passing 1D Arrays to Functions
 Passing 2D Arrays to Functions
 Pointers and Strings
 Passing Strings to Functions
 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 MLOps course offers a structured, hands-on learning experience to ensure that participants gain the practical knowledge required to deploy, monitor, and maintain machine learning models. The curriculum focuses on real-world applications, enabling you to gain experience with the tools, platforms, and best practices used by top organizations in the industry.

Skills You Will Gain

By the end of the LearnAi MLOps course, you will acquire the following skills:

Model Deployment Expertise

Learn how to deploy machine learning models efficiently and securely in various environments.

CI/CD Implementation for ML

Automate your machine learning workflows with continuous integration and continuous delivery pipelines.

Model Monitoring and Maintenance

Track and maintain models to ensure their ongoing effectiveness and accuracy in production.

Version Control for Machine Learning

Implement version control techniques for both code and models, ensuring reproducibility and traceability.

Collaboration in MLOps

Develop the skills to work effectively in multidisciplinary teams to streamline ML workflows and operations.

Learn MLOps Course from beginners to advanced in Three Phases

The LearnAi MLOps course is divided into three key phases to provide a structured and comprehensive learning journey:

1. Exploration

Industrial Standard Course Structure

Job Oriented Programs

Domain Expertise Trainers

Recording Sessions

24/7 Portal Access

1 to 1 Mentorship

2. Understanding

Doubt Sessions

Daily Assignments

Weekly Test

Project Explanations

Project Implementation

Course Completion Certifications

3. Achievement

Resume Preparations

Interview Preparation

Mock Interviews

Internships Oppurtunity

Resume Marketing

100% Job Assistance

Tools and Technologies

• Kubeflow
• MLflow
• AWS SageMaker
• Google AI Platform
• Azure Machine Learning
• Docker
• Kubernetes
• Jenkins
• Git and DVC (Data Version Control)
• Terraform
• Prometheus and Grafana

Job Roles

• MLOps Engineer
• Machine Learning Engineer
• Data Engineer
• DevOps Engineer (with MLOps expertise)
• AI/ML System Architect
• Cloud Engineer (with MLOps focus)
• Model Deployment Engineer
• Data Scientist (with MLOps specialization)

Enroll in the LearnAi MLOps course today to advance your career in the exciting field of machine learning operations and start building scalable, reliable ML systems!

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?

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

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