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Browse every course on Skillama. To enroll, log in or create a free account — then request access from Explore.
.NET Programming
Learn .NET programming with C# from fundamentals to application development. This course covers data types, operators, control statements, object-oriented programming, exception handling, collections, LINQ, database connectivity, ASP.NET Core, and REST APIs. Gain practical skills to build, debug, and develop modern .NET applications using Visual Studio.
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Advanced Python
Covers oops and Static Analysis
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Apache Spark & Scala
Apache Spark with Scala for Beginners focuses on the essential concepts of big data processing with Apache Spark. It explains Spark's execution model, distributed computing principles, RDDs, DataFrames, and Spark SQL while demonstrating how to develop efficient and scalable data processing applications using Scala.
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C Programming
C is a middle-level programming language, meaning it combines the features of both high-level and low-level programming. It provides direct access to memory while also supporting structured programming, making it suitable for developing both system software and application software.
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C++ Programming
C++ Programming is a practical course designed to teach the fundamentals of C++ and object-orientated programming. Learners will explore variables, data types, operators, loops, functions, arrays, pointers, classes, objects, inheritance, polymorphism, file handling, and STL through hands-on examples and coding exercises.
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Data Analyst
The Data Analyst is designed to provide learners with practical skills to collect, clean, analyze, and visualize data for effective decision-making. The course covers essential tools and technologies such as Excel, SQL, Python, Power BI, and data visualization. Learners will work with real-world datasets, perform data cleaning and exploratory data analysis, create interactive dashboards, and generate meaningful business insights. The course also includes hands-on exercises and projects to prepare learners for data analyst roles and real-world industry requirements.
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Data science with AI
Learn Data Science and Artificial Intelligence to analyze data, discover meaningful insights, make informed decisions, and build intelligent systems. The course covers Python, SQL, Machine Learning, Data Visualization, Big Data, AWS, and Deep Learning, providing practical skills for real-world applications.
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Deep Learning
Deep Learning is an advanced field of Artificial Intelligence that enables computers to learn from large volumes of data by using multi-layered neural networks. It is capable of identifying intricate patterns and making accurate predictions with minimal human intervention. Deep Learning is widely used in applications such as computer vision, language translation, voice assistants, recommendation systems, and medical diagnosis. Its ability to continuously improve with more data makes it one of the most powerful technologies in modern AI.
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Generative AI (Gen AI)
This Generative AI Training Program is designed to provide learners with a strong foundation in Generative Artificial Intelligence (GenAI) and its real-world applications. The course covers the fundamentals of AI, Machine Learning, Large Language Models (LLMs), Prompt Engineering, Text and Image Generation, Retrieval-Augmented Generation (RAG), AI APIs, AI Agents, Fine-tuning, Responsible AI, and enterprise GenAI applications.
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GOLANG
The Go (Golang) Programming course is designed for beginners who want to build a strong foundation in modern software development. Participants will learn Go programming fundamentals, object-oriented concepts, concurrency using Goroutines, REST API development, and cloud-native application basics through hands-on coding exercises and real-world projects. This course prepares learners for backend development, microservices, and cloud engineering roles.
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Java Programming
**Java Programming** is a versatile, object-oriented programming language widely used for developing desktop, web, mobile, and enterprise applications. It follows the **"Write Once, Run Anywhere (WORA)"**principle, allowing Java programs to run on any platform with a Java Virtual Machine (JVM). Java offers robust features such as platform independence, automatic memory management, strong security, and multithreading support. Its rich standard libraries simplify application development and improve productivity. Due to its reliability, scalability, and extensive ecosystem, Java remains one of the most popular programming languages in the software industry.
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Machine Learning
Machine Learning teaches computers to learn from data, identify patterns, and make predictions or decisions automatically.
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Power BI
The Power BI course is designed for beginners who want to develop data visualization and business intelligence skills. Participants will learn how to connect, clean, transform, and analyze data, create interactive dashboards and reports, and use Power Query, DAX, and data modeling techniques. Through hands-on projects and real-world business scenarios, learners will gain practical experience to make data-driven decisions and build professional reporting solutions.
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PySpark
PySpark is the Python API for Apache Spark, an open-source framework used for processing and analyzing large-scale datasets efficiently. It enables distributed computing by processing data across multiple machines, making it suitable for big data applications. PySpark provides fast in-memory processing, fault tolerance, and supports structured and unstructured data. It also includes libraries for SQL, machine learning, and real-time data streaming. Due to its scalability and performance, PySpark is widely used in data engineering, ETL processes, big data analytics, and machine learning.
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Python Course
A beginner-friendly introduction to Python programming.
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Python Testing
Learn Python Testing from basics to automation with hands-on practical sessions, real-time projects, PyTest framework, and interview preparation. Perfect for beginners and aspiring QA professionals
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Scala
Scala Programming is a hands-on course designed to introduce learners to the fundamentals of Scala, a powerful language used in Big Data, Apache Spark, and enterprise application development. Participants will learn core programming concepts, object-oriented and functional programming, collections, and real-world coding practices through practical exercises and projects, building a strong foundation for Data Engineering and modern software development.
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SQL
This SQL Training Program is designed to provide learners with a comprehensive understanding of Structured Query Language (SQL), the standard language used for managing and manipulating relational databases. The course covers database fundamentals, data retrieval, data manipulation, joins, subqueries, database objects, stored procedures, transactions, and advanced SQL concepts.
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