Microsoft BI Developer

Introduction to Business Intelligence, Data Science and Big data

This course provides an overview of the fundamental concepts and practices in the fields of Business Intelligence (BI), Data Science and Big Data. It explores the techniques, tools, and methodologies used to collect, analyze, and derive valuable insights from data, catering to the growing demand for data-driven decision-making in various industries.

  • Key concepts of Data Science, Business Intelligence Lifecycle
  • Various roles in data world and their work
  • End to end pipeline stages
  • Data analytics methods
  • Various file formats and big data Concepts

Fundamentals of SQL Programming

The course focuses on teaching individuals how to use SQL Server product features and tools related to implementing a database server. This training provides students with the technical skills required to write SQL queries. This course is the foundation for all SQL Server-related disciplines; namely, Database Administration, Database Development and Business Intelligence.

  • SQL programming basics
  • Recognize the entirety of SQL theory.
  • Many ways to manipulate data.
  • Exploring data Warehousing Solutions
  • Working with SQL Server Tools
  • Writing SELECT statements.
  • Querying multiple tables
  • Programming with T-SQL
  • Sorting and Filtering data
  • Grouping and Aggregating data
  • Implementing error handling and transactions

Data Visualization and Reporting Tool (Power BI)

This course on Data Visualization and Reporting is designed to equip participants with the essential skills and knowledge needed to effectively utilize Microsoft Power BI for data analysis and visualization, combined with a strong foundation in statistical concepts and techniques. It provides a comprehensive understanding of both statistical methodologies and the practical application of Power BI for making data-driven decisions. After completing this course, students will be able to create reports, KPIs and dashboards using Power BI, the latest reporting technologies, and methods.

  • Descriptive Statistics
  • Basic Operations and environment setup of Power BI
  • Combining Data
  • Data Blending and DAX
  • Data Visualization
  • Construction of interactive dashboards

Data Integration and transformation Solutions (ETL – SSIS)

This course covers the most important step in Business Intelligence; the preparation of the data for: analysis, reporting, data warehousing and mining. In this course, we use SQL Server Integration Service (SSIS), a component from Microsoft SQL Server Database Software that is used to implement a wide range of data migration tasks. SSIS is a graphical, fast and flexible data warehousing tool used for data extraction, loading and transformations like cleaning, aggregation and merging data from a variety of sources such as: SQL Server Databases, Oracle, DB2, Azure, Excel, Text, CSV, Json, XML files etc.

  • Fundamental concepts of ETL processes
  • Navigating the SSIS interface
  • Manipulate and transform data using SSIS.
  • Learning to deploy SSIS packages to SQL Server 
  • Exploring scripting tasks and components to extend SSIS capabilities.

Data Modelling (SSAS)

In this course, students will acquire the knowledge of multidimensional and tabular data models by using SQL Server Analysis Services (SSAS). The course will help students learn dimensional modelling using Star/Snowflake/Hybrid schemas to create DataMart and data warehouses. These are used by the stakeholders, clients and/or businesses for deep analysis and data mining. It is a unique way of representing the data using different dimensions very quickly, effectively and with minimal code.

  • Creating multidimensional databases
  • Working with cubes and dimensions
  • Working with measures and measure groups

Career Development

This course is designed to teach students how to integrate themselves into the Canadian job market. In 4 short classes, we look at the kind of mindset that is needed to be successful in the job search process, how to shape the CV and cover letters, we practice interview skills, and much more.

  • Resume Preparation
  • Preparing for an Interview.
  • Show casing your projects.
  • Updating the Linked-in profile
  • Writing cover letter based on the Job posting.
  • Practice having conversations in professional tone.    


At the end of the program, students work on a real-time, industry-simulated project during which they build databases and extract information from them, create data models, and prepare visualization reports.

  • Real-time, industry-simulated project
  • End to End Workflow
  • Team Interaction 
  • Practical Implementation of all the above concepts

Data Science

Fundamentals of Python programming

The Python Programming Course is designed to take participants from beginners to proficient Python developers. Whether you’re new to programming or seeking to expand your coding skills, this course provides a comprehensive exploration of Python’s versatility and applications. Through a blend of theoretical lessons, hands-on exercises, and real-world projects, participants will gain a solid foundation in Python programming and develop the ability to create a wide range of applications.

  • A complete understanding of Python from the ground up!
  • Declaring Variables, Data types and Python Syntaxes
  • Functional programming in Python
  • Object Oriented Programming 
  • Exceptional Handling
  • Libraries like NumPy, pandas, matplotlib and Seaborn to visualise data.

Machine Learning

The course provides an in-depth and hands-on introduction to the topic of machine learning. The fundamental ideas, methods, and algorithms of machine learning are covered in this course. The course includes a thorough study of statistics, a variety of machine learning techniques related to both supervised, unsupervised machine learning, topics related to Deep Learning and an introduction to neural networks.

  • Various Machine Learning algorithms
  • Deep Learning Techniques
  • Supervised and unsupervised learning
  • Linear & Logistic regression
  • Classification Models
  • CNN, ANN, GAN’s 
  • Create and train supervised machine learning models.

Applied Data Science with Python

Advanced skills in Python is crucial for many data science roles. In this course, you will continue to build on the Python programming skills you acquired in the previous class by implementing machine learning using python libraries like TensorFlow, Pytorch, Scikit-learn You will learn all the advanced Python libraries that are being used in the real world by data scientists.  Data Science with Python training help you advance your career as a data scientist.

  • A strong analytical approach to problem solving.
  • knowledge on using advanced Python Libraries like TensorFlow, Scikit learn, Pytorch
  • Practical implementation of the ML algorithms.
  • Creating a machine Learning Model.
  • Case Studies of Data Science and coding Using Python Libraries

 Data Science Project

In the last stage of your data science training, the newly acquired skills will be put into practice through a real-world project. The student will learn how to tackle a practical, industry-relevant problem by focusing on mentorship sessions for data processing and model creation. The project will provide you an opportunity to practice it in a practical setting.

  • Real-time, industry-simulated project
  • End to End Workflow
  • Team Interaction 
  • Practical Implementation of all the above concepts
  • Creating data models and preparing visualization reports.

Business Analyst

Introduction to Business Analysis

In this module you gain the foundational skills to perform the role of business analyst, and an understanding of the BA role in the design, development, and testing phases of a project. You learn how to plan business analysis activities, as well as the basics of eliciting, analyzing, modeling, and writing requirements.

  • Business analysis perspectives
  • Business analysis key concepts
  • Work functions and BA knowledge areas

Project Management and Interpersonal Skills

This course’s primary objectives are to provide the participants with the necessary vocabulary and fundamentals of Project Management. You will learn the different phases and knowledge areas such as Project Scope, Schedule, Cost, Risk, and Time management necessary to understand and function at a high level in the Business analyst role within a project.  You will also gain essential insight on the various interpersonal skills required by Project Managers but also from any project team member. Gain practical skills through hands-on, interactive group activities and individual assignments.

  • Fundamentals of project management
  • Software development life cycle
  • Agile project management with Scrum
  • Communication and negotiation skills
  • Presentation and facilitation skills

Business Analysis Techniques

Business Analysis is the practice of enabling change in an organizational context, by defining needs and recommending solutions that deliver value to stakeholders. It is a broad profession in which business analysts might perform work for many different types of initiatives across an enterprise. The primary purpose of this course is to allow students understand the Six Knowledge Areas (KA) defined in the Business Analysis Body of Knowledge (BABOK) and apply different commonly used techniques and competencies to perform Business Analysis tasks as Business Analysis professionals.

  • Mapping business process
  • BPMN or tracking tool
  • Stakeholder engagement
  • Process improvements
  • Understand real-time problems
  • Develop feasible solutions
  • Business analysis tools and techniques


At the end of the program, students work on an industry-simulated, business analysis project involving database information.

  • Real-time, industry-simulated project
  • End to End Workflow
  • Team Interaction 
  • Practical Implementation of all the above concepts
  • creating data models and preparing visualization reports.

Supply Chain Management

Introduction to Supply Chain Management and ERP

This course offers a comprehensive introduction to Supply Chain Management (SCM) principles and their integration using SAP software. Supply Chain Management plays a pivotal role in modern business operations, encompassing the planning, execution, control, and optimization of processes across the supply chain network. Throughout this course, you’ll explore the fundamental concepts of SCM and how SAP systems facilitate seamless integration and management of these critical processes.

  • Overview of supply chain management
  • Understanding of real-time SCM enterprise
  • Walk-through of SAP Logon
  • Familiarizing with SAP Navigation

SAP Procurement and Inbound logistics

This course will give you the fundamental knowledge and a comprehensive overview of the procurement processes in SAP. After attending this class, the students will be able to understand usage of the procurement processes for stock material, consumable materials and services, the basic functions from purchasing, inventory management, invoice verification, service entry and materials planning. The Logistics Information System will introduce the students to inbound logistics, a concept that lays the foundation for decision making in Supply Chain Management.

  • SAP Procurement Module
  • Good understanding of inbound logistics
  • Knowledge of creating inbound delivery

SAP Inventory Management

This course will give you a comprehensive overview and in-depth knowledge of the inventory management process in SAP. After completing this course, the student will have a basic understanding of the major business processes, functions, and configuration in inventory management along with a knowledge of goods movements and issues faced in the SAP system. The aim is to familiarize the students with the special functions of inventory management and physical inventory.

  • SAP Inventory Module
  • Inventory management skills
  • Handling SAP issues regarding stocks

SAP Warehouse Management

This course will give you a comprehensive overview and in-depth knowledge of the warehouse management process in SAP. The SAP warehouse management application provides flexible, automated support to assist you in processing all goods movements and in maintaining current stock inventories in your warehousing complex. After completing this course, student will understand how to handle the warehousing processes like define and manage complex warehousing structures, optimize material flow using advanced put away and picking techniques, Process goods receipts, goods issues, and stock transfers quickly and easily etc. 

  • SAP WM Module
  • Creation of invoice
  • Effective handling of movement of goods

SAP Sales and Delivery

This course will give you a comprehensive overview of the outbound logistics in SAP. In this course, hands-on experience is provided to students on how to create a sales order and the background to how the order is being processed. Once the sales order is created, students will learn to configure the outbound delivery. At the end of the course, students will be able to create sales orders to control the logistic process and perform outbound delivery.

  • Creation of sales order
  • Good understanding of outbound logistics
  • Knowledge of data dictionary tables related to sales order.

SAP Production Planning

This course will give you a comprehensive overview and in-depth knowledge of the SAP Production Planning It is the process of aligning demand with manufacturing capacity to create production and procurement schedules for finished products and components. SAP PP is an important module of SAP. It tracks and makes a record of the manufacturing process flows, for example, the planned and actual costs. Also, goods movements from the conversion of raw material to semi-finished goods.

  • SAP PP Module
  • Creation, extension of company codes and purchase order data
  • Flow of goods through shipment details


At the end of the program, students use SAP Software to work on an industrially simulated, logistics project involving real-time data.

  • Real-time, industry-simulated project
  • End to End Workflow
  • Team Interaction 
  • Practical Implementation of all the above concepts

Cloud Computing

Introduction to Cloud Computing Fundamentals

The Introduction to Cloud Computing course provides an overview of cloud computing technology and its applications. Students will gain a fundamental understanding of the cloud computing paradigm, learn about the various cloud service models, and explore the benefits and challenges associated with cloud adoption. The course will cover key concepts, terminology, and architectures, enabling students to make informed decisions about utilizing cloud computing solutions for their organizations.

  • Cloud Provider Selection
  • Understand Various cloud service models (IaaS, PaaS, SaaS)
  • Compare and contrast deployment models (Public, Private, Hybrid)
  • Key components of cloud infrastructure (VMs, Networking, Storage – File, Block, Object, CDN)
  • Emergent Trends and Practices in cloud computing

Networking and Operating System Fundamentals

The Networking Components and Operating Systems Fundamentals course provides a comprehensive understanding of networking technologies and operating systems used in cloud computing environments. Students will explore the key networking components, protocols, and architectures involved in cloud computing, as well as gain practical knowledge of operating system concepts and their implementation in cloud environments. The course aims to equip students with the necessary skills to design, configure, and manage networking components and operating systems within cloud infrastructures.

  • Analysis of Cloud Microservices Model and Cloud Components
  • Concepts (Storage, Network Virtualization, Operating System, Autoscaling, Cloud-based Delivery Model)
  • Develop architecture for your multi-Cloud networks
  • Extend native Cloud networking constructs
  • Firewall Network architecture
  • Scale application services
  • Use transit networking services to integrate Cloud VPCs and on-premise resources
  • Implement high-performance solutions
  • Gain visibility, global monitoring, and efficiently troubleshoot your Cloud Network

Cloud I: Design, Plan, Architect and Configure 3-tier Architecture Solutions (AWS)

This course provides students with a comprehensive understanding of Infrastructure as Code (IaC) principles and Python programming for designing serverless and tiered application architecture. Students will learn how to automate the provisioning, configuration, and management of cloud infrastructure using IaC tools and techniques. They will also gain proficiency in using Python for scripting and integrating with serverless cloud services to build scalable and resilient tiered applications. This course will cover Terraform (IaC), Python, and source control versioning methodologies to provision cloud resources via automated pipelines.

  • Describe terminology and concepts related to AWS services 
  • Understanding of AWS security concepts
  • Differentiating across a variety of AWS computing services, such as Amazon EC2, AWS Lambda, and Amazon ECS
  • Cloud Migration and Deployment
  • Identify the database and storage options provided by AWS, such as Amazon RDS, Amazon DynamoDB, and Amazon S3.
  • Identify AWS architecting basic practices
  • Efficient design and deployment of the AWS System
  • Cost-evaluation and cost-control mechanisms
  • Elastic Load Balancing on multiple EC2 instances
  • Data ingress and egress on AWS
  • Identifying relevant and suitable uses of AWS architecture
  • Lift and shift mechanism of AWS on-premises applications
  • Finding the right solutions based on computational, database, and security needs

Cloud I: Implement, Deploy, Ensure Successful Operations of a 3-tier Web Application (AWS)

This course provides students with practical knowledge and skills in implementing, deploying, and ensuring the successful operations of a 3-tier web application in the cloud environment via Terraform and CI/CD Pipeline. This course focuses on utilizing cloud services and technologies to build scalable, reliable, and secure web applications. Through a combination of theory, hands-on labs, and real-world scenarios, students will learn how to architect, deploy, and manage the infrastructure required to run a 3-tier web application.

  • Manage and provision the AWS solution infrastructure
  • Build and implement CI/CD pipelines for a service
  • Design for security and compliance
  • Analyze and optimize technical and business processes
  • Manage implementations of AWS Cloud architecture
  • Monitor and Log in with AWS CloudWatch
  • Ensure solution and operations reliability
  • AWS Core Services (Network, Compute, Storage, Big Data, Databases, Security, Operations)

Hands-on Capstone Project on Cloud I (AWS)

Students engage in a hands-on, industry-modeled project focused on cloud-based systems within the AWS environment. This real-world simulation equips students with practical experience in assessing, evaluating, and validating the robustness and performance of cloud-based projects.

  • Real-time, industry-simulated project
  • End to End Work Flow
  • Team Interaction 
  • Practical Implementation of all the above concepts

Cloud II: Design, Plan, Architect and Configure 3-tier Architecture Solutions (Azure)

This course focuses on designing, planning, architecting, and configuring 3-tier architecture solutions using Kubernetes in the cloud environment. This advanced-level course builds upon the fundamentals of cloud computing and introduces students to the power and flexibility of containerization and orchestration with Kubernetes. Students will learn how to leverage Kubernetes to design and deploy highly scalable, resilient, and efficient 3-tier architecture solutions.

  • Benefits of cloud computing in Azure
  • Core Microsoft Azure services
  • Core Microsoft Azure architecture components
  • Core Azure architecture components such as subscriptions, management groups, resources, and resource groups
  • Microsoft Azure management tools
  • Design Azure solutions using virtual machines, serverless computing, and microservices.
  • Design identity, governance, and monitoring solutions
  • Design data storage solutions
  • Design business continuity solutions
  • Design infrastructure solutions    

Cloud II: Implement, Deploy, Ensure Successful Operations of a 3-tier Web application (Azure)

In the middle of the program, students work on a real-time, industry-simulated project during which they put their newly acquired skills into practice through the project.

  • Azure management tools
  • Artificial Intelligence service to address different kinds of business challenges.
  • Azure IoT service for a given business scenario.
  • Azure software development process tools and services
  • Azure security solutions

Difference in Implementation between Three Major Cloud Solution Providers (AWS vs Google vs Azure)

This course delves into a comparative analysis of three prominent cloud service providers—Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). Participants will explore the distinct features, services, and infrastructure offered by each provider, enabling a comprehensive understanding of their differences and suitability for diverse business needs.

  • Cloud Provider Selection
  • Different service providers
  • Comparing features in service providers    

Capstone Project on Cloud Computing (Azure/GCP)

By the end of the program, participants engage in a hands-on, industry-modeled project focused on cloud-based systems within the Azure/ GCP environment. This real-world simulation equips students with practical experience in assessing, evaluating, and validating the robustness and performance of cloud-based projects.

  • Real-time, industry-simulated project
  • End to End Workflow
  • Team Interaction 
  • Practical Implementation of all the above concepts


Security I: Security +

This Security+ course is designed to equip participants with the essential knowledge and skills required to excel in the field of cybersecurity. Delve into the foundational principles of information security, threat assessment, risk management, cryptography, network security, and much more. This course provides a solid foundation for individuals aspiring to pursue careers as cybersecurity professionals or enhance their expertise in the field. 

  • Foundational cybersecurity skills (Network security, threat detection, risk management)
  • Understanding and preparing to identify and respond to security incidents.

Security II: Cloud Security

The Cloud security course with an AWS focus is designed to prepare cybersecurity professionals to secure cloud environments specifically within the Amazon Web Services (AWS) platform. This comprehensive training program covers the key domains of cloud security as outlined by (ISC)² while emphasizing practical applications and best practices within the AWS ecosystem. 

  • Implementing security for cloud applications by encryption, access controls.
  • Challenges of cloud-based systems, safeguarding against unauthorized access and data breaches

Capstone Project on Security

Conclude your learning journey with a capstone project focused on applying security measures in a cloud computing context.

  • Real-time, industry-simulated project
  • End to End Workflow
  • Team Interaction 
  • Practical Implementation of all the above concepts

Full Stack Java Developer

Software Methodologies

This introductory course is designed to provide students with a comprehensive understanding of various software development methodologies, frameworks, and best practices. In today’s rapidly evolving technology landscape, it is crucial for software professionals to adopt effective methodologies to ensure the successful development, maintenance, and delivery of software projects. This course explores both traditional and modern software development approaches, enabling students to make informed decisions and adapt to the needs of diverse software projects.

  • Knowledge of Software Methodologies
  • Traditional Software Development Methodologies  
  • Agile Software Development  
  • Software Development Process Management
  • Team Collaboration and Communication 
  • Software Methodology Selection and Implementation 

Introduction to Programming

This course is designed for students who have little to no prior experience in programming. This course serves as a foundation for understanding the core concepts and principles of computer programming. It introduces students to problem-solving techniques, algorithm development, and coding using a beginner-friendly programming language. By the end of the course, students will have the skills and knowledge to write basic programs and will be well-prepared for more advanced programming courses.

  • Algorithm Development 
  • Basics of a Programming Language 
  • Control Structures 
  • Functions and Modular Programming 
  • Data Structures (arrays & lists)
  • Problem Solving 
  • Debugging and Testing

Front End Technologies (HTML/ CSS/ JS)

The Front-End Technologies course provides students with a comprehensive understanding of the technologies, tools, and best practices used in front-end web development. Front-end development plays a critical role in creating user-friendly and visually appealing websites and web applications. This course equips students with the skills and knowledge to design and develop responsive, interactive, and accessible web interfaces. This course introduces essential front end web development languages, focusing mainly on HTML, CSS, and JavaScript. Course content explores front-end web development best practices and the purpose of responsive web design.

  • Understanding how to structure content (HTML) 
  • Styling web pages using CSS.
  • User Interface (UI) and User Experience (UX) Design
  • ability to create interactive and dynamic user interfaces using Javascript.
  • structure the visual elements of a website, ensuring proper layout and styling

Fundamentals of SQL Programming

The Fundamentals of SQL Programming course provides students with a foundation in Structured Query Language (SQL) and relational database management. SQL is a critical skill for data management and analysis in various fields, including database administration, software development, data analytics, and business intelligence. This course covers essential SQL concepts, query development, and database design principles. This course introduces participants to the fundamentals of SQL using Oracle Database technology.

  • SQL programming basics
  • Recognize the entirety of SQL theory
  • Many ways to manipulate data
  • Exploring data Warehousing Solutions
  • Working with SQL Server Tools
  • Writing SELECT statements
  • Querying multiple tables
  • Programming with SQL
  • Sorting and Filtering data
  • Grouping and Aggregating data
  • Implementing error handling and transactions.

Fundamentals of Programming (Core java)

The course serves as an introduction to the Java language and object-oriented programming (OOP) in Java. The course provides students with the skills for analyzing, designing, developing, and troubleshooting Java applications. Participants learn the syntax and the constructs of the Java programming language, the concepts behind object-oriented programming (OOP) with Java, packaging, Java documentation, exception handling, Java libraries (I/O, utility networking, JDBC, etc.).

  • Familiarity with basic Java syntax
  • Setting up the environment for code execution
  • An aptitude to analyze technical problems.
  • Executing programs in Java
  • A clear understanding of object-oriented programming (OOP)
  • Making a mini project using Java

Advanced Java programming

This course introduces students to these popular and extensively used aspects of the Java Enterprise Edition platform. The course teaches the design, development and deployment of web applications using these core Java technologies. Using a hands-on workshop approach, students learn the fundamentals of Java server-side web development and understand those issues and approaches associated with these technologies.

  • Advanced Object-Oriented Concepts
  • Direct mapping of objects to the database
  • Multithreading and Concurrency
  • Java Server Pages & Java Servlets
  • Building MVC Application

Java Persistence API with Framework Hibernate

This course introduces Hibernate, a popular open-source object/relational mapping (ORM) tool that helps Java developer’s store and access persistent objects. Topics covered include Hibernate configuration, the Hibernate mapping file, inheritance, collections, associations, and the Hibernate Query Language (HQL).

  • Use of MVC framework for making web applications
  • Knowledge on Mapping Associations  
  • Hibernate Query Language 
  • Object-Relational Mapping (ORM)
  • Adding features like transaction management to the application

Spring Framework for Enterprise Applications

This course introduces the Spring Framework, the leading full-stack framework for Java EE applications. Topics covered include the spring container, dependency injection, data validation, aspect-oriented programming, the JDBC Template, and the Hibernate Template. A Web application is also presented to illustrate the use of the Spring Web MVC framework. 

  • Understanding the HTTP protocol
  • Spring Framework
  • Spring Web MVC 
  • Creating HTTP servlets
  • Creating views with Java Server Pages
  • Understanding data modelling approaches and web application layering


At the end of the program, students complete a real-time, industrially simulated java development project.

  • Real-time, industry-simulated project
  • End to End Workflow
  • Team Interaction 
  • Practical Implementation of all the above concepts

Web App Developer

Fundamentals of Programming (TypeScript & JS)

The course will offer participants a deep understanding of fundamental programming principles and how to apply them in real-world scenarios. By exploring variables, data types, control structures, and functions in TypeScript and JavaScript, students will develop a strong foundation for building robust applications. Practical exercises and projects will reinforce learning, empowering participants to confidently write clean, efficient code and tackle programming challenges with confidence. This course sets the stage for continued growth in software development, providing a solid framework for future learning and specialization in the field 

  • Basic Programming Constructs
  • Object-Oriented Programming (OOP) Principles
  • Functional Programming Concepts
  • Asynchronous Programming
  • DOM Manipulation and Browser Interaction
  • TypeScript Typing and Strong Typing Concepts
  • Error Handling and Debugging

Building Dynamic Front-End Web Application Platforms (Angular JS)

AngularJS, is a robust JavaScript framework maintained by Google, revolutionizes front-end web development by enabling the creation of dynamic and interactive single-page applications (SPAs). This course is designed as an in-depth exploration of AngularJS, focusing on empowering developers to craft powerful, scalable, and responsive front-end web applications. 

  • Component-Based Architecture
  • Single Page Application (SPA) Development
  • Services and HTTP Module
  • Routing and Navigation
  • Form Handling and Validation
  • Testing with Angular
  • Dependency Injection (DI)

Backend development for building web applications (NodeJS)

This course is a deep dive into Node.js, the powerful runtime environment for server-side applications. Designed for both beginners and intermediate developers, this course aims to equip you with a thorough understanding of Node.js and its application in creating scalable and efficient web applications. Throughout this course, you will explore the core concepts, best practices, and practical implementations of Node.js to build robust backend systems. 

  • Server-Side Development
  • Package Management with npm
  • Asynchronous JavaScript and Node.js 
  • Database Integration with Node.js 
  • Node.js Modules and NPM 
  • Building RESTful APIs with Express.js 


At the end of the program, students complete a real-time, industrially simulated web development project.

  • Real-time, industry-simulated project
  • End to End Workflow
  • Team Interaction 
  • Practical Implementation of all the above concepts

Software Testing

Introduction to Software Testing and Quality Assurance

The course will introduce students to the fundamentals of testing, why testing is needed and its limitations. It provides an overview of objectives and purpose of testing and some of the psychological factors that testers must consider in their work. At the end of the course, students will have knowledge of principles behind testing and the process that testers follow in industry.

  • Familiarity with the basic concepts of testing
  • Test design techniques and test management
  • Black-box and white-box testing techniques

Automated Testing for Enterprise Applications (Selenium)

The course serves as an introduction to Selenium, an open-source and portable software testing framework for web applications. By using the fundamentals of java taught in the previous course the students write scripts that are used to perform automated testing of applications on different browsers and operating systems by using the basics of automation and its related frameworks. 

  • Proficiency in Test Automation
  • Understanding of Web Testing Concepts
  • Scripting and Programming Skills
  • Test Frameworks and Best Practices
  • Debugging and Troubleshooting Skills
  • Adaptability and Agility in Testing

Supporting Tools for Software Testing (Jira)

This course provides comprehensive guidance and hands-on experience in utilizing Jira as a pivotal tool for software testing and quality assurance processes. Jira, a widely used project management and issue tracking platform, offers robust functionalities that can streamline testing workflows, enhance collaboration, and ensure product quality. Throughout this course, participants will delve into the core features of Jira specifically tailored to support software testing endeavors.

  • Issue and Project Management
  • Test Case Management
  • Collaboration and Communication
  • Integration with Testing and Development Tools
  • Reporting and Analytics


At the end of the program, students work on an industrially simulated, testing project involving functional testing, non-functional testing, unit testing, integration testing, in addition to automated and manual system testing. 

  • Real-time, industry-simulated project
  • End to End Workflow
  • Team Interaction 
  • Practical Implementation of all the above concepts