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DevOps
What you'll learn
In this course, you will learn the fundamentals of DevOps, including continuous integration (CI), continuous deployment (CD), automation, containerization (Docker, Kubernetes), infrastructure as code (Terraform, Ansible), monitoring, and cloud computing. You will gain hands-on experience in automating workflows, managing deployments, and optimizing software development lifecycles.
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CyberSecurity
What you'll learn
Hands-on Learning – Gain practical experience in ethical hacking, network security, and incident response.
Industry-Relevant Skills – Learn cybersecurity frameworks, encryption techniques, and secure coding practices.
Career Opportunities – Open doors to roles like Cybersecurity Analyst, Ethical Hacker, and Security Engineer.
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Software Development
What you'll learn
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Python
What you'll learn
This course makes learning Python easy for absolute beginners. It provides hands-on practice with real-world exercises. No prior coding experience is needed to get started. You will build a strong foundation in programming concepts. Learning Python opens doors to better career opportunities. The course teaches automation to improve efficiency in daily tasks. It enhances problem-solving skills through coding exercises. Flexible learning allows you to progress at your own pace. Python’s applications in web development and data analysis make it a valuable skill. By the end of the course, you will gain confidence to build your own projects.
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SupaBase
What you'll learn
Understand the fundamentals of Supabase and how it compares to Firebase.
Set up a Supabase project and connect it to web and mobile applications.
Work with PostgreSQL as the database for storing structured data.
Perform CRUD (Create, Read, Update, Delete) operations with Supabase.
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IOT and Embedding Systems
What you'll learn
Understand the fundamentals of IoT (Internet of Things) and Embedded Systems.
Learn how to design and develop IoT devices and integrate them with the cloud.
Gain practical knowledge of sensors, actuators, and communication protocols used in IoT.
Explore the basics of embedded programming for microcontrollers (e.g., Arduino, Raspberry Pi).
Work with cloud platforms (AWS IoT, Azure IoT, Google Cloud) for device management and data storage.
Build and deploy practical IoT projects involving sensors, actuators, and real-time systems.
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Data Analytics
What you'll learn
Understand the fundamentals of data analytics and the different types (Descriptive, Diagnostic, Predictive, Prescriptive).
Learn the complete data analytics process, including data collection, cleaning, analysis, and visualization.
Master data visualization tools like Tableau, Power BI, and Python libraries (Matplotlib, Seaborn).
Understand advanced analytics techniques such as time series analysis, cluster analysis, and natural language processing (NLP).
Apply data analytics skills to real-world business problems and case studies.
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Java
What you'll learn
In this course, you will learn core and advanced Java programming, covering object-oriented programming (OOP), data structures, multithreading, exception handling, file handling, JDBC, and frameworks like Spring & Hibernate. You will also work on real-world projects, build APIs, and develop web applications using Java.
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Azure
What you'll learn
In this course, you will learn how to design, deploy, and manage cloud-based applications using Microsoft Azure. You will gain expertise in Azure Virtual Machines, Networking, Storage, Databases, Identity Management, Security, DevOps, AI, and Kubernetes. You will also explore CI/CD pipelines, monitoring, and automation to optimize cloud performance.
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Artificial Intelligence (AI) and Machine Learning (ML)
What you'll learn
You will learn the fundamentals of Artificial Intelligence (AI) and Machine Learning (ML), including key concepts, algorithms, and practical applications. The course covers supervised and unsupervised learning, deep learning techniques, neural networks, and AI deployment. By the end, you will be able to build, train, and deploy AI/ML models using Python and popular frameworks like TensorFlow and Scikit-learn.
