Artificial Intelligence
AI equips you with powerful tools and techniques to tackle complex problems and find innovative solutions.
This five-day course is designed for software developers who want to explore the applications of generative artificial intelligence (AI) in software development.
Generative AI refers to a category of artificial intelligence models designed to generate new data similar to the data they were trained on. These models can create content across various domains, including text, images, music, and even code.
By the end of this course, participants will have gained a deep understanding of how generative AI can revolutionize software testing and test automation practices, enabling them to harness the power of AI to enhance the quality, efficiency, and reliability of their software products.
This one-day course is designed for managers and decision- makers who want to gain a high-level understanding of generative artificial intelligence (AI) techniques and their applications.
This course is tailored for senior engineers seeking an in-depth understanding of generative artificial intelligence (AI) techniques and algorithms.
This course is designed for junior engineers who want to learn about generative artificial intelligence (AI) techniques and algorithms. Participants will gain a fundamental understanding of generative models and how they can be applied to generate new data samples, images, text, and other types of content. The course includes hands-on labs to provide practical experience in building and training generative AI models.
This bootcamp is designed to provide participants with a comprehensive understanding of Python for various applications in data science, machine learning (ML), artificial intelligence (AI), and deep learning (DL). Participants will learn essential Python programming skills and explore libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, and Keras to analyze data, build ML models, and develop AI applications.
By combining PySpark with machine learning, data scientists and engineers can build scalable ML models that process and analyze large datasets efficiently, enabling more robust and powerful data-driven applications.
Data Analysis
Data analysis is essential across various fields such as business, healthcare, social sciences, finance, and more, as it enables organizations to make data-driven decisions, understand market trends, optimize operations, and improve outcomes.
To provide an in-depth understanding of Power BI and Excel for data analysis, visualization, and reporting purposes.
In this course, the candidate will learn how to program in R and how to use R for effective data analysis and other statistical inference. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language.
In this course, you will learn how clinical data are generated and the format of this data. You will learn Statistics, SQL, Python, Machine Learning methods with clinical cases.
By analyzing data using Python, organizations can make more informed decisions based on insights derived from their data. The outcome of implementing data science with Python is typically improved business performance, increased efficiency, and a deeper understanding of data-driven insights.
To enhance the Excel skills of management and finance professionals for improved data analysis, reporting, and decision-making.
Gain a solid understanding of healthcare analytics principles and how they can be applied in healthcare organizations.
To provide comprehensive training on data warehousing concepts and business intelligence tools for improved decision-making and data analysis.
Big Data Analytics
Big Data Analytics transforms vast amounts of raw data into meaningful insights, empowering organizations to make informed decisions, optimize operations, and innovate in their respective fields.
Databricks PySpark refers to the use of Apache Spark within the Databricks platform, utilizing PySpark, which is the Python API for Spark. Databricks is a unified analytics platform that provides an integrated environment for data engineering, data science, and machine learning. It is built on top of Apache Spark and designed to make working with big data and AI easier and more efficient.
This bootcamp is designed for data engineers seeking advanced skills in building and managing data pipelines using Databricks. Participants will learn how to leverage Databricks’ Unified Analytics Platform to perform data engineering tasks efficiently, including data ingestion, transformation, orchestration, and optimization.
IT Automation
IT Automation is the use of software and systems to create repeatable instructions and processes to replace or reduce human interaction with IT systems.
Use of Ansible to automate the configuration management process, GIT for version control and Terraform to automate the infrastructure provisioning.
You will develop practical skills in Linux, AWS, Git, Terraform, Terraform Cloud, Ansible, Prometheus, and monitoring, enabling you to effectively collaborate between development and operations teams, automate infrastructure, and enhance software delivery processes.
Build, test, and deploy Docker applications with Kubernetes while learning production-style development workflows.
This bootcamp is designed for participants looking to enhance their automation skills by combining Python programming with Ansible orchestration.
Software Development
Software development is a dynamic and complex process that involves a combination of technical skills, methodologies, tools, and best practices to create high-quality software solutions tailored to meet specific needs and solve real-world problems.
To provide a comprehensive understanding of Java programming concepts and development practices for beginners and intermediate learners.
Python Programming Essentials is an essential starting point for anyone looking to learn programming and gain proficiency in one of the most popular and widely-used programming languages in the world.
GitHub Copilot is an AI coding assistant that helps you write code faster and with less effort, allowing you to focus more energy on problem-solving and collaboration.
Scala Play Framework Programming refers to the development of web applications using the Scala programming language and the Play Framework. The Play Framework is a modern web application framework written in Scala (but also supporting Java) that follows the Model-View-Controller (MVC) architectural pattern. It provides developers with tools and libraries to build scalable, reactive, and efficient web applications.
This course outline provides a comprehensive curriculum covering fundamental to advanced Python concepts, practical applications, and real-world project work, enabling participants to develop proficiency in Python programming within a span of five intensive days.
This bootcamp is designed for participants looking to enhance their automation skills by combining Python programming with Ansible orchestration.
Python for Beginners is a learning pathway or resource designed to introduce newcomers to the Python programming language. It typically covers the fundamental concepts, syntax, and principles of Python in a beginner-friendly manner, enabling individuals with little or no prior programming experience to start learning and writing code in Python.
Software QA Testing
Software QA testing plays a crucial role in ensuring the reliability, functionality, and usability of software products, ultimately contributing to the success of projects and the satisfaction of stakeholders.
QA Orientation + Performance & Security refers to a comprehensive approach to Quality Assurance (QA) that encompasses not only the traditional aspects of QA, such as functionality and reliability, but also focuses on performance and security aspects of software.
Python for Automation Testing refers to the use of the Python programming language and its related libraries and frameworks to automate the testing of software applications. Python is widely used in the field of software testing due to its simplicity, readability, extensive library support, and ease of integration with testing tools and frameworks.
Database Administration
Effective database administration is essential for organizations to leverage their data assets effectively, drive business insights, and maintain a competitive edge in today's data-driven world.
Python for Beginners is a learning pathway or resource designed to introduce newcomers to the Python programming language. It typically covers the fundamental concepts, syntax, and principles of Python in a beginner-friendly manner, enabling individuals with little or no prior programming experience to start learning and writing code in Python.
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