Programming Languages

HRDC Reg. No: 10001533059
Duration: 5 Days (35 Hours)

Course Overview

This 5-day instructor-led course provides a comprehensive introduction to Rust programming. Designed for developers transitioning from languages like C++, Python, or Go, this course covers memory safety, ownership, concurrency, and async programming, equipping participants with hands-on skills to build safe and high-performance systems.

Who Should Attend

• Software engineers adopting Rust

• Embedded systems developers

• Systems and security-focused programmers

• Engineers working in high-performance or concurrent systems

Why Choose This Course

HRDC Claimable – Registered under HRDC Registration No. 10001533059, this course is eligible for HRDCorp claims. It provides deep technical insights paired with real-world hands-on labs for immediate application in industries ranging from cybersecurity to IoT and blockchain.

Learning Outcomes

Participants will:

• Grasp Rust’s ownership model and memory safety principles

• Implement key Rust features: generics, traits, modules, lifetimes

• Develop multithreaded and async Rust applications

• Use Cargo and crates for project management

• Apply Rust in systems programming and embedded contexts

Prerequisites

• Familiarity with C/C++ or Python

• Understanding of core programming constructs (loops, functions, conditionals)

Lab Setup

• Install Rust using rustup

• Configure Cargo, VS Code/CLion for Rust development

• Use Rust Playground and local runtime for exercises

• Set up async runtime for embedded and async programming tasks

Teaching Methodology

• Instructor-led sessions with live coding

• Hands-on labs and group coding tasks

• Code reviews and design best practices

• Debugging and performance profiling

Programming Languages

HRDC Reg. No: 10001512649
Duration: 5 Days (35 Hours)

Course Overview

This course provides a comprehensive introduction to Python, covering core programming concepts, data types, functions, file handling, and exception management. It includes hands-on practice, functional programming techniques, and a final project, making it ideal for beginners and professionals looking to enhance their Python programming skills.

Learning Outcomes

By the end of this course, participants will be able to:

• Install and configure Python and related tools.
• Understand Python data types, variables, and operators.
• Manipulate strings using slicing, indexing, and methods.
• Work with lists, tuples, dictionaries, and sets.
• Implement conditional statements and loops.
• Perform file handling operations.
• Develop functions, modules, and packages.
• Apply exception handling and functional programming techniques.

Who Should Attend?

• Beginners interested in Python programming.
• Software Developers expanding their knowledge of Python.
• Data Analysts learning foundational Python for data manipulation.
• Students & Enthusiasts exploring Python for academic or personal projects.

Prerequisites

• Basic understanding of programming concepts (recommended).
• Familiarity with any programming language (optional).

Lab Setup Requirements

System Requirements:

• Minimum 4GB RAM & 2 CPU cores.
• Windows, macOS, or Linux.

Software Requirements:

• Python 3.x Installed.
• Anaconda Distribution (optional).
• IDEs: VS Code, PyCharm, Jupyter Notebook.

 Network Configuration:

• Internet access for installing Python packages using pip.

Teaching Methodologies

• Interactive Lectures – Concept explanations with examples.
• Hands-On Exercises – Coding challenges & real-world applications.
• Collaborative Problem-Solving – Group-based learning.
• Periodic Assessments – Quizzes & practice tests.
• Project-Based Learning – Final-day mini-project.

Programming Languages

HRDC Reg. No: 10001512642
Course Duration: 2 Days (14 hours)

Course Overview

The Advanced Python course is designed for experienced developers seeking to master high-level Python programming concepts. This hands-on training covers Python’s class and object model, multiprocessing, multithreading, REST API programming, CGI scripting, programmatic SSH, database connectivity, GUI development with Tkinter, and web application deployment using Flask. Participants will gain real-world expertise through case studies and projects.

Who Should Attend?

This course is ideal for:

Experienced Python Developers – Enhancing expertise in advanced programming.
Software Engineers – Handling complex applications and system integrations.
Web Developers – Expanding skills in advanced web development.
Data Engineers – Optimizing performance and integration using Python.

Why Choose This Course?

HRDC Claimable (Reg. No: 10001512642)
Hands-on learning with practical exercises & case studies
Covers advanced Python features essential for professional developers
Real-world applications using Flask, Tkinter, Paramiko, and SQLAlchemy

Learning Outcomes

By the end of this course, participants will:

Understand Python’s object model and CPython internals (including the GIL).
Implement multiprocessing and multithreading for performance optimization.
Utilize the subprocess module for external program integration.
Develop and integrate REST APIs.
Create CGI scripts for client-server communication.
Perform secure SSH automation using Paramiko.
Connect Python with databases using SQLAlchemy.
Build GUI applications with Tkinter.
Develop and deploy web applications using Flask.

Prerequisites

Strong Python programming fundamentals.
Familiarity with object-oriented programming (OOP).
Basic knowledge of web technologies and databases.

Lab Setup

System Requirements:

4GB RAM, 2 CPU cores (Windows/macOS/Linux)

Software & Network Requirements:

Python 3.x installed
Python libraries: Flask, Paramiko, Tkinter, requests, SQLAlchemy
Web server setup for CGI scripting
Internet access for package installations

Teaching Methodology

Interactive Lectures – In-depth concepts with real-world examples.
Hands-On Labs – Practical coding exercises.
Case Studies – Real-world applications of Python.
Project-Based Learning – A Flask mini-project.
Collaborative Problem-Solving – Group discussions and troubleshooting.

Programming Languages

HRDC Reg. No: 10001513366
Duration: 2 Days (14 hours)

Course Overview

This 2-day hands-on training is designed for developers with foundational Python knowledge who want to enhance their skills in object-oriented programming (OOP), memory management, data manipulation, and specialized libraries. The course covers decorators, iterators, generators, multidimensional structures, NumPy, JSON, and regular expressions, focusing on practical applications through hands-on activities and case studies.

Learning Outcomes

By the end of this course, participants will be able to:

Implement OOP principles using Python classes and objects.
Use decorators for enhanced functionality and create custom decorators.
Work with iterators and generators for efficient data processing.
Understand Python's memory layout and internal mechanisms.
Manipulate multidimensional data structures using lists, tuples, and dictionaries.
Utilize requests & JSON modules for web and data integration.
Perform data analysis and operations with NumPy arrays.
Use regular expressions for pattern matching and input validation.

Who Should Attend?

• Python Developers looking to enhance skills and work on complex projects.
• Data Scientists improving data manipulation & processing capabilities.
• Web Developers integrating Python-based libraries in applications.
• IT Professionals working on automation & data processing projects.

Prerequisites

Basic understanding of Python programming.
Familiarity with data types, loops, and functions in Python.

Lab Setup Requirements

Hardware Requirements:

• Minimum 4GB RAM & 2 CPU cores

Software Requirements:

• Python 3.10+ installed
• Required libraries: NumPy, requests
• IDE: PyCharm, VS Code, or Jupyter Notebook

Network Requirements:

• Internet access for package installation & API data retrieval.

Teaching Methodology

Interactive Lectures – Concept explanations with live coding.
Hands-On Activities – Practical coding exercises for every topic.
Case Studies – Applying Python techniques to real-world scenarios.
Group Discussions – Collaborative problem-solving & knowledge sharing.
Assessments – Quizzes & coding challenges to reinforce learning.

Programming Languages

HRDC Reg. No: 10001464567
Duration: 14 Hours (2 Days)

Course Overview

This course is designed for beginners who want to learn Python programming from scratch. It covers fundamental concepts, including basic syntax, data types, control structures, functions, and modules. By the end of the course, participants will be able to write simple Python programs and understand core programming principles.

Who Should Attend?

• Beginners in programming.
• Professionals looking to add Python to their skill set.
• Students & individuals interested in data analysis, automation, or software development.

Why Choose This Course?

• HRDC Claimable (HRDC Registration No: 10001464567).
• Covers Python syntax, data structures, and functions.
• Hands-on training with live coding exercises and projects.
• Learn file handling, error handling, and an introduction to popular Python libraries.

Learning Outcomes

By the end of this course, participants will be able to:

Understand Python basics, including syntax & semantics.
Write Python scripts for data manipulation & basic analysis.
Use control flow structures (loops, conditionals, functions, and modules).
Handle errors & exceptions effectively.
Work with basic data structures (lists, tuples, dictionaries, sets).

Prerequisites

• No prior programming experience required.
• Basic computer literacy.

Lab Setup

System Requirements:

• Python 3.x installed.
• IDE or text editor (PyCharm, VS Code, Jupyter Notebook).
• Internet access for package installation.

Teaching Methodology

Instructor-led Training – Live coding and demonstrations.
Hands-on Exercises – Coding challenges & group activities.
Guided Labs – Step-by-step Python programming.
Q&A Sessions – Troubleshooting & debugging exercises.

Programming Languages

HRDC Reg. No: 10001321147
Duration: 2 Days (14 hours)

Course Overview

This 2-day hands-on training provides an in-depth understanding of Object-Oriented Programming (OOP) in Python, along with advanced techniques for data handling, file manipulation, logging, and database operations. Participants will learn class-based programming, inheritance, functional programming, and working with JSON and databases.

Learning Outcomes

By the end of this course, participants will be able to:

Understand Object-Oriented Programming (OOP) principles in Python.
Define and differentiate instance attributes & class attributes.
Work with inheritance, exception handling, and decorators.
Utilize functional programming techniques such as iterators, generators, and comprehensions.
Implement regular expressions, logging, and JSON manipulation.
Perform CRUD operations with databases using Python.

Who Should Attend?

• Software Developers looking to enhance Python programming skills.
• DevOps Engineers working with automation and system scripting.
• Database Administrators incorporating Python for database operations.
• System Administrators leveraging Python for system management.
• Test Engineers enhancing testing capabilities using Python.

Prerequisites

Essential Python programming knowledge is required.

Lab Setup Requirements

Hardware Requirements:

• Minimum 4GB RAM (8GB recommended)
• Multi-core processor (x86_64-compatible)

Software Requirements:

• Operating System: Windows, Linux, or macOS
• Python Version: Python 3.x or later
• Required Modules: json, logging, re, sqlite3

Teaching Methodology

Instructor-led Python demonstrations.
Real-world programming exercises & case studies.
Live debugging sessions & problem-solving discussions.

Programming Languages

HRDC Reg. No: 10001464660
Duration: 14 Hours (2 Days)

Course Overview

This hands-on workshop is designed to provide participants with a comprehensive introduction to Python programming. The course covers core concepts, syntax, data structures, and essential libraries, along with practical coding exercises to reinforce learning. By the end of the workshop, participants will be equipped to write Python scripts, develop basic applications, and apply Python in data analysis, web development, and automation.

Who Should Attend?

• Beginners – Learn Python from scratch.
• Professionals – Automate tasks and work with data.
• Developers – Expand their programming skills with Python.

Why Choose This Course?

• HRDC Claimable (HRDC Registration No: 10001464660).
• Covers Python scripting, data manipulation, file handling, and OOP.
• Hands-on training with real-world coding exercises.
• Learn Pandas, Matplotlib, and NumPy for data analysis & visualization.

Learning Outcomes

By the end of this course, participants will be able to:

Understand Python syntax, data types, and structures.
Implement loops, conditionals, and list comprehensions.
Write functions and modules for reusable code.
Handle files (CSV, JSON, text) and exceptions.
Work with Pandas and Matplotlib for data analysis & visualization.
Develop Python applications and debug code efficiently.

Prerequisites

• Basic programming concepts (helpful but not required).
• Familiarity with any text editor or IDE (e.g., VSCode, PyCharm).

Lab Setup

System Requirements:

• Python 3.x installed.
• IDE or code editor (VSCode, PyCharm, Jupyter Notebook).
• Required libraries: Pandas, Matplotlib, NumPy (install via pip).

Teaching Methodology

Instructor-led Training – Live coding and demonstrations.
Hands-on Exercises – Practical coding challenges.
Guided Labs – Step-by-step programming tasks.
Q&A Sessions – Interactive discussions & troubleshooting.

Programming Languages

HRDC Reg. No: 10001322396
Duration: 14 hours (2 days)

Course Overview:

This 2-day course provides a solid foundation in Modern C++ (C++11/14). Designed for both beginners and experienced developers, it covers essential concepts, including object-oriented programming (OOP), templates, STL components, and Modern C++ features like lambdas, smart pointers, and concurrency.

Learning Outcomes:

By the end of this course, participants will be able to:

1. Use C++ as an object-oriented language.
2. Implement and understand function & class templates.
3. Work with the Standard Template Library (STL).
4. Write real-world applications using C++.
5. Apply Modern C++ (C++11/14) features in development.

Prerequisites:

• Basic programming knowledge in any language.

System Requirements:

• Software:
  • Server OS: Any Linux distribution.
  • Compilers: g++ 4.x or later.
  • Debuggers: gdb.
• Hardware:
  • Minimum 4GB RAM (8GB recommended).
  • 2GHz multi-core CPU (x86_64-compatible).

Target Audience:

• College students wanting to learn Modern C++.
• C++ developers seeking a refresher on C++.
• Software professionals transitioning to Modern C++.
• Developers familiar with C, Java, C#, Python, and similar languages.