Programming Training Courses

Introduction to Git and Migration from SVN• Overview of Git vs SVN architecture• Understanding distributed version control concepts• Git installation and environment setup• Mapping SVN workflows to Git workflows• Introduction to Git repositories and working mo...

• Developers transitioning from SVN to Git
• Software Engineers
• QA Engineers
• DevOps Engineers
• Build and Release Engineers
• Full Stack Developers
• Backend Developers
• IT Professionals working in legacy version control environments

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in GIT for Victims of Subversion Training, validating their expertise in Git version control migration, distributed workflows, branching strategies, collaboration practices, CI/CD integration, and modern software development practices.

Prerequisites: • Basic understanding of Subversion (SVN) or version control concepts• Familiarity with software development workflows is beneficial• Basic command-line usage knowledge is helpful• Understanding of software project structures is advantageous

Introduction to GitHub and Repository Management• Overview of GitHub platform and ecosystem• Creating and managing repositories• Understanding Git and GitHub relationship• Repository settings and configuration• Working with README and project documentationBran...

• Software Developers
• Full Stack Developers
• Backend Developers
• Frontend Developers
• DevOps Engineers
• QA Engineers
• Build and Release Engineers
• IT Professionals working in collaborative development environments

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in GitHub Fundamentals Training, validating their expertise in GitHub repository management, collaboration workflows, pull requests, CI/CD basics, issue tracking, DevOps integration, and modern software development practices.

Prerequisites: • Basic understanding of Git version control concepts• Familiarity with software development workflows is beneficial• Knowledge of basic programming concepts is helpful• Understanding of command-line usage is advantageous

Introduction to GitLab and Repository Management• Overview of GitLab platform and DevOps ecosystem• Creating and managing repositories in GitLab• Understanding GitLab project structure• Branching strategies and merge request workflows• Issue tracking and colla...

• DevOps Engineers
• Software Developers
• Backend Developers
• Full Stack Developers
• QA Automation Engineers
• Build and Release Engineers
• Cloud Engineers
• IT Professionals working in CI/CD environments

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in GitLab and GitLab CI Training, validating their expertise in GitLab DevOps workflows, CI/CD pipeline automation, repository management, merge request processes, deployment automation, and modern software delivery engineering practices.

Prerequisites: • Basic understanding of Git version control concepts• Familiarity with software development lifecycle is beneficial• Knowledge of basic programming concepts is helpful• Understanding of command-line usage is advantageous

Introduction to Go & Development Setup • What is Go and where it is used • Installing Go and configuring environment • Understanding Go workspace and modules • Writing and running first Go programGo Language Basics • Variables, constants, and data types • Cont...

 • Backend developers and system programmers
 • Cloud and DevOps engineers
 • Software engineers building microservices
 • Developers interested in high-performance applications
 • Professionals transitioning to Go programming

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Upon successful completion of the training, participants will receive an AcadNXT Certificate of Completion for Go Programming. This digital, verifiable certification validates practical Go development, concurrency, and backend service skills and can be shared on LinkedIn and included in professional profiles to enhance career opportunities.

Prerequisites:  • Basic understanding of programming concepts • Familiarity with any programming language is helpful • Basic knowledge of networking or web concepts is beneficial

Introduction to GPU Computing and CUDA Basics• Overview of GPU architecture and parallel computing• CPU vs GPU performance comparison• CUDA programming model fundamentals• Thread hierarchy: grids, blocks, and threads• Setting up Python GPU development environm...

• Python Developers
• Data Scientists
• AI/ML Engineers
• HPC Engineers
• Software Developers working on performance optimization
• Research Scientists
• Analytics Engineers
• IT Professionals working with GPU-based systems

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in GPU Programming with CUDA & Python Training, validating their expertise in GPU architecture, Python-based CUDA programming, parallel computing, performance optimization, and high-performance AI/HPC application development.

Prerequisites: • Strong understanding of Python programming• Basic knowledge of data structures and algorithms is beneficial• Familiarity with linear algebra concepts is helpful• Understanding of basic computer architecture is advantageous

Introduction to GPU Architecture and CUDA Basics• Overview of GPU computing and CUDA ecosystem• Understanding CPU vs GPU architecture• CUDA programming model fundamentals• Thread hierarchy: threads, blocks, and grids• Setting up CUDA development environmentCUD...

• C++ Developers
• AI and Machine Learning Engineers
• Data Scientists
• HPC (High Performance Computing) Engineers
• Software Developers working on performance optimization
• Research Scientists
• Embedded and Systems Engineers
• IT Professionals interested in GPU acceleration

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in GPU Programming with CUDA Training, validating their expertise in GPU architecture, CUDA kernel development, parallel computing, performance optimization, HPC programming, and GPU-accelerated application engineering practices.

Prerequisites: • Strong understanding of C/C++ programming• Basic knowledge of data structures and algorithms is beneficial• Familiarity with parallel computing concepts is helpful• Understanding of basic computer architecture is advantageous

Introduction to Groovy & Environment Setup • What is Groovy and where it is used • Installing Groovy and development tools • Running Groovy scripts • Groovy vs Java comparisonGroovy Language Basics • Groovy syntax and conventions • Variables and data types • S...

 • Java developers learning Groovy
 • Test automation engineers using Groovy
 • DevOps and build engineers
 • Script developers and automation professionals
 • Software engineers working with JVM technologies

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Upon successful completion of the training, participants will receive an AcadNXT Certificate of Completion for Groovy Programming. This digital, verifiable certification validates practical Groovy development and automation skills and can be shared on LinkedIn and included in professional profiles to enhance career credibility.

Prerequisites:  • Basic knowledge of Java or JVM-based languages • Familiarity with object-oriented programming concepts • Basic understanding of programming fundamentals

Introduction to Blazor & Project Setup • What is Blazor and how it works • Blazor Server vs Blazor WebAssembly • Setting up Blazor development environment • Creating and running Blazor applicationsRazor Syntax & Components • Razor syntax fundamentals • Creatin...

 • .NET developers exploring modern web UI frameworks
 • Web developers transitioning to Blazor
 • Full-stack developers using Microsoft technologies
 • Software engineers building interactive web applications
 • Technical professionals interested in Blazor development

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Upon successful completion of the training, participants will receive an AcadNXT Certificate of Completion for Introduction to Blazor. This digital, verifiable certification validates core Blazor development skills and can be shared on LinkedIn and included in professional profiles to enhance career credibility.

Prerequisites:  • Basic knowledge of C# and .NET concepts • Familiarity with HTML and CSS • Basic understanding of web development fundamentals

Introduction to LabVIEW & Environment • What is LabVIEW and where it is used • LabVIEW IDE and workspace overview • Front Panel and Block Diagram concepts • Creating and running first Virtual InstrumentGraphical Programming Fundamentals • Data flow programming...

 • Engineering students and fresh graduates
 • Test and measurement engineers
 • Automation and instrumentation professionals
 • Researchers and lab technicians
 • Professionals new to LabVIEW

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Upon successful completion of the training, participants will receive an AcadNXT Certificate of Completion for Introduction to LabVIEW. This digital, verifiable certification validates foundational LabVIEW graphical programming and test automation skills and can be shared on LinkedIn and included in professional profiles to enhance technical credibility.

Prerequisites:  • Basic understanding of engineering or technical concepts • Familiarity with basic programming concepts is helpful • Basic computer operation skills

Introduction to Internet of Things (IoT)• Overview of IoT concepts and ecosystem• Understanding connected devices and smart systems• IoT architecture and components• Real-world IoT use cases and applications• IoT deployment models overviewSensors, Actuators, a...

• IoT Developers
• Embedded Systems Engineers
• Automation Engineers
• Network Engineers
• Software Developers
• Cloud Engineers
• Industrial Technology Professionals
• IT Professionals interested in smart connected systems

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in IoT Essentials Training, validating their expertise in IoT architecture, connected device ecosystems, communication protocols, cloud integration, IoT security, and smart systems development practices.

Prerequisites: • Basic understanding of networking concepts• Familiarity with programming or scripting basics is beneficial• Knowledge of electronics or embedded systems concepts is helpful• Understanding of cloud or application development concepts is advantageous

Introduction to IoT and Raspberry Pi• Overview of IoT architecture and connected systems• Introduction to Raspberry Pi hardware and ecosystem• Raspberry Pi models and components overview• Setting up Raspberry Pi environment• Linux basics for Raspberry Pi devel...

• IoT Developers
• Embedded Systems Engineers
• Automation Engineers
• Electronics Engineers
• Python Developers
• Network Engineers
• Smart Systems Developers
• IT Professionals interested in IoT and Raspberry Pi development

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in IoT Using Raspberry Pi Training, validating their expertise in Raspberry Pi development, IoT architecture, GPIO programming, sensor integration, Python-based IoT workflows, cloud connectivity, automation systems, and smart device engineering practices.

Prerequisites: • Basic understanding of programming concepts• Familiarity with networking basics is beneficial• Knowledge of Linux or embedded systems concepts is helpful• Understanding of electronics fundamentals is advantageous

Introduction to IoT and ThingsBoard• Overview of IoT architecture and ecosystems• Introduction to ThingsBoard platform and features• Understanding IoT device management workflows• Setting up ThingsBoard development environment• Platform architecture and deploy...

• IoT Developers
• Embedded Systems Engineers
• Automation Engineers
• Cloud Engineers
• Smart Systems Developers
• Network Engineers
• Industrial IoT Professionals
• IT Professionals interested in IoT monitoring platforms

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in IoT with ThingsBoard Training, validating their expertise in ThingsBoard platform management, IoT device integration, telemetry monitoring, dashboard development, MQTT communication, automation workflows, and scalable IoT solution engineering practices.

Prerequisites: • Basic understanding of IoT concepts and networking fundamentals• Familiarity with MQTT or communication protocols is beneficial• Knowledge of embedded systems or Raspberry Pi concepts is helpful• Understanding of cloud or web application basics is advantageous