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This course is designed to take you from **beginner to advanced level** in **manual software testing**. You will learn **how to test applications, find and report bugs, and work with developers to improve software quality**.

By the end of this course, you will:

1.  Understand how software testing works
2.  Write and execute test cases
3. Find and report bugs using tools like JIRA
4. Test applications on different browsers and devices
5. Prepare for a career in software testing

This course is perfect for **beginners with no experience** and those looking to start a career in **Quality Assurance (QA)**.

What is Software Testing?
How Software is Developed (SDLC & STLC)Types of Testing – Functional & Non-Functional
Writing Test Cases – The Basics
Introduction to Exploratory Testing

Introduction to Manual QA (Beginner Level)

How to Execute Test Cases & Record Results Regression Testing – What It Is & Why It Matters 
How to Report Bugs Clearly Using JIRA for Bug Tracking 
Testing Websites & Mobile Apps

MODULE 2 – Running Tests & Reporting Bugs (Intermediate Level)

Testing on Different Browsers – Chrome, Firefox, Safari, Edge Mobile Testing – iOS vs. Android 
Understanding Agile Teams – How QA Works with Developers 
Test Planning & Managing Tests 
Finding Critical Bugs Before Release

MODULE 3 – Advanced Manual Testing (Advanced Level)

 Build a QA Portfolio (Test Cases, Bug Reports, Test Plans) 
Prepare for QA Job Interviews – Common Questions & Answers 
Resume Writing & LinkedIn Optimization 
How to Apply for QA Jobs & Start Your Career

MODULE 4 – Job Preparation

Quality Assurance

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Orion Product Management 

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Dive into the core essentials with our premier 3-months Cohort program, designed to equip you with the practical skills you need to succeed in Product Management. This comprehensive course covers everything from what product management is all about to agile methodologies and data-driven decision-making, ensuring you're ready for the workforce.

You'll learn about product lifecycle management, how to use product management tools, and how to work cross-functionally with teams such as engineering, design etc. By the end of the program, you will be prepared to pursue roles such as Product Manager, Associate Product Manager, or Product Owner.

Product Management is a rapidly growing field, with strong demand for skilled professionals, excellent salary packages, and vast opportunities for career growth.



Foundations of Product Management

Building Products & Exploring AI in Product Management 

Scrum Events, Product Market fit, Competitive analysis, Product Strategy and Metrics.

Product Management

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Orion Cloud Computing - AWS

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This Azure Essentials Cloud Computing Cohort program is designed to provide you with robust knowledge of Cloud Computing as you begin your journey into Cloud Engineering. You will gain practical skills through our hands-on projects which are necessary to work in the industry as a Cloud Engineer.

What You'll Learn:

· Cloud Computing Fundamentals

· Azure Components and Services

· Identity & Security Services

· Azure Well-Architected Framework

· Azure Management & Governance Services

· Monitor & Maintain Azure Environments

This training is for aspiring Cloud Engineers who are looking to pursue a career in Cloud Engineering or those looking to enhance their current skills in Cloud Development and Administration.

Build a strong foundation in cloud computing, exploring key concepts, management tools, and the benefits of adopting cloud services for modern IT environmen

Fundamental Cloud Concepts

Dive into Azure's core services, including compute, networking, storage, identity and access management, databases, middleware, and AI/ML services. You will learn how to design and implement them as versatile cloud solutions. Understand how to secure Azure environments with robust identity management, access controls, and security frameworks.

Core Azure Components and Services

Learn best practices for creating scalable, cost-effective, and resilient cloud architectures using the Azure Well-Architected Framework and Landing Zone methodologies.

Architecting in Azure 

Gain insights into Azure's billing and cost management, policy enforcement, and governance tools to ensure compliance and efficient resource utilization. Master the use of Azure's monitoring tools to ensure performance, reliability, and operational excellence in cloud environments.

Azure Management and Governance 

Azure

Orion AI and Machine Learning 

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Embark on a transformative journey into the world of Artificial Intelligence and Machine Learning with our comprehensive 5-month Cohort program. This course is meticulously designed to provide you with the foundational knowledge and advanced skills required to excel in the rapidly evolving field of AI and ML. From understanding the basics of machine learning to mastering advanced techniques and deploying real-world AI solutions, this program covers it all.

You'll gain hands-on experience with data preprocessing, model evaluation, and advanced ML techniques such as reinforcement learning and natural language processing. By the end of the program, you will be equipped to tackle complex problems, build intelligent systems, and deploy scalable AI solutions, preparing you for roles such as Machine Learning Engineer, Data Scientist, or AI Specialist.

AI and Machine Learning are at the forefront of technological innovation, with increasing demand for skilled professionals, competitive salaries, and vast opportunities for career growth.



This module introduces the fundamental concepts of machine learning, including supervised and unsupervised learning, regression, and classification. You'll learn essential skills such as data preprocessing and regression techniques, and get hands-on experience by working on a project to predict sales success using marketing data.

 Introduction to Machine Learning

Dive deeper into machine learning with advanced concepts like cross-validation, dimensionality reduction, and ensemble methods. This module also covers reinforcement learning, recommendation systems, and anomaly detection. You'll apply these techniques to solve complex classification or regression problems and work on projects such as stock price forecasting and personalized movie recommendation systems.

 Machine Learning Techniques & Advanced Machine Learning Techniques

Explore the fascinating fields of Natural Language Processing (NLP) and Computer Vision. Learn about language modeling, text classification, and chatbots in NLP, and image classification, object detection, and generative models in Computer Vision. You'll work on projects like building a text classifier for spam detection and developing an intelligent traffic monitoring and analysis system.

NLP and Computer Vision

This module focuses on handling large datasets and optimizing machine learning models. You'll learn introduction to distributed computing, data pipelines, and cloud-based AI solutions using tools like PySpark on AWS or Google Cloud. Additionally, you'll gain skills in model deployment, real-time data streaming, and AI ethics. The module culminates in a project where you deploy a real-time prediction model using Docker and Kafka.

Big Data and Optimization 

AI and Machine Learning 

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The Data Science Track is a comprehensive 4-month cohort programme designed to provide a hands-on, practical foundation in data science. The course covers essential skills such as Python programming, data analysis, statistics, exploratory data analysis (EDA), data visualisation, and an introduction to machine learning. As a student, you will progress from basic programming concepts to implementing machine learning models and deploying these models using tools like Streamlit. The course also includes several mini projects and capstone projects that allow you to apply your skills to real-world problems.

Python Programming Basics 

Introduction to Object Oriented Programming 

Numpy and Pandas for data manipulation 

Basics of visualization in python 

Matplotlib and Seaborn for data visualization 

MODULE 1 & 2 

Descriptive Statistics 

Probability fundamentals 

Handling missing values and outliers 

Exploratory Data Analysis 

MODULE 3 & 4 

 Data distributions 

Sampling, estimations and Cental Limit Theorem 

Hypothesis testing and Statistical tests 

Data Preparation and feature engineering 

Machine learning algorithms 

Deployment on streamlit 

MODULE 5 & 6 

Data Science

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Begin your journey with foundational knowledge crucial for analyzing and interpreting data effectively.

Our goal is to gain a strong foundation in the same tools used by professional data analysts across various industries. By the end of this course, you'll have the understanding you need to work comfortably with data, extract insights, and create impactful visualizations.

- Introduction to Excel for Data Analysis
- Data Cleaning and Formatting
- Pivot Tables and Charts
- Basic Statistical Analysis in Excel

Excel for Data Analysis

- Introduction to Databases and SQL
- Writing Basic to Advanced SQL Queries
- Data Aggregation and Joins
- Working with Large Datasets

SQL for Data Analysis

- Introduction to Python and Pandas
- Data Manipulation and Cleaning
- Exploratory Data Analysis (EDA)
- Data Visualization with Matplotlib and Seaborn

Python for Data Analysis

- Introduction to Power BI Interface
- Creating Interactive Dashboards
- Data Modeling and DAX Functions
- Connecting PowerBI to MSSQL
- Storytelling with Data

School of Artificial Intelligence and Data Science

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