Explore Catalogue

This comprehensive course explores the integration of Flexible Manufacturing Systems (FMS) with Lean Manufacturing principles, emphasizing how a lean transformation paves the way for robotics and automation. Geared toward professionals in manufacturing and engineering, the course dives into the principles and applications of FMS, Lean tools, and their seamless integration with robotics and automation for improved adaptability, efficiency, and waste reduction.

Mustafa Bayülgen

Senior Software Engineer

This course unravels the intricacies of LangChain, a versatile framework for creating applications with language models. As AI and natural language processing become more integral to technological advancements, mastering LangChain is essential for modern developers. This course navigates through the basics of LangChain, its background and context, practical uses in today's tech landscape, and future prospects. Real-world examples illuminate how LangChain empowers developers to craft innovative, AI-driven applications.

Reza Moradinezhad

Senior Software Engineer

In a fast-paced world, managing personal productivity is crucial. This course introduces beginners to the world of virtual assistants and chatbots and how they can be harnessed to enhance personal productivity. Learn how to use these AI-driven tools effectively to streamline tasks, manage time, and boost overall efficiency.  By the end of this course, you will have not only gained a comprehensive understanding of the fundamental concepts behind virtual assistants and chatbots but also developed the practical skills to use this transformative technology effectively. With this knowledge and hands-on experience, you'll be well on your way to becoming proficient in, yet another groundbreaking innovation powered by AI.  Moreover, you will be equipped to apply these skills in various practical scenarios, such as automating email responses, scheduling appointments, setting reminders, and even developing your own custom chatbots for specific tasks or industries. This course will empower you to take charge of your productivity and make the most of AI-driven personal assistants.

Arkadi Avanesyan

Senior Software Engineer

This course provides a foundation to assess, and apply, a series of Generative Artificial Intelligence (AI) tools, such as: ChatGPT, Bing Chat, Google Bard, Midjourney, Runway, and Eleven Labs.   This learning opportunity offers a hands-on experience through the process of ideating, creating, and finalizing a mock advertising campaign using the combined strengths of these AI tools.  By the end of the course, Learners will be aware of, and leverage the capabilities of leading Generative AI tools, as demonstrated in the creation of a holistic advertising campaign, showcasing the seamless integration and enhanced capabilities of these tools in content creation.

Jordan Wilson

Senior Software Engineer

In this course, you will be introduced to the DataFrame and the Series, the two primary containers of data within pandas. You will learn the components of these objects and a few basic operations and also know what methods of subset selection you should avoid.   You will begin performing calculations on your data. You will begin by learning how to operate on a single column of data, a pandas Series and learn the difference between methods that aggregate (return a single value) and those that do not. After learning how to operate on a single column of data, you'll learn how to operate on multiple columns at the same time by calling methods on a DataFrame. You'll learn how to change the direction of the operations from vertical to horizontal.  You'll also learn about the categorical data type, which is unique to pandas and has the ability to save a tremendous amount of memory. Up to this point in the course, all operations were applied to the entire dataset. You will learn how to apply operations to independent groups within your data instead of the whole. You will also learn how to display the results of grouping in a more human-readable way with pivot tables.  Grouping data can be tricky in pandas and potentially be one of the slowest performing operations. You will learn best practices on how to optimize performance along with the newest syntax available.

Theodore Petrou

Senior Software Engineer

This course offers a comprehensive introduction to Matlab and Simulink, focusing on their foundational aspects and practical applications. It's tailored for individuals seeking to enhance their skills in these powerful tools for engineering, science, and research.  The course is designed to transition from basic concepts to specific applications, emphasizing real-world relevance and skill-building. It will cover Matlab's programming environment and Simulink's modeling capabilities, aiming to equip participants with practical skills for their academic or professional endeavors.

Karlis Zars

Senior Software Engineer

This course will cover foundational concepts of Excel programming and the Visual Basic for Applications (VBA) tool designed to enhance productivity and automate manual tasks. By mastering these tools, participants can save valuable time and focus on higher-level activities such as analysis and strategic decision-making.   Through simplified explanations and practical examples, this course will help to navigate through the Excel interface and the VBA editor, record and write your macros. We will cover advanced data manipulation and analytics through real-life examples and write advanced macros necessary for such tasks.

Arkadi Avanesyan

Senior Software Engineer

The Data Science & Machine Learning Developer Certification program provides a comprehensive set of knowledge and skills in data science, machine learning, and deep learning.  This immersive training curriculum covers all the key technologies, techniques, principles and practices you need to play a key role on your data science development team, and to distinguish yourself professionally. Beginning with foundational principles and concepts used in data science and machine learning, this program moves progressively and rapidly to cover the foundational components at the core of machine learning. The program builds on the foundations and quickly moves into deep learning, along the way teaching you via lectures and interactive online labs.The training uses open-source tools — along with your developing judgment and intuition — to address actual business needs and real-world challenges. This program also covers the significant development of deep learning methods that enable state-of-the-art performance for many tasks, including image classification, time series (such as audio) classification and natural language processing. In this program, delegates gain hands-on deep learning experience. Delegates will learn by hands-on labs working tools including Python, Scikit-Learn, Keras, and Tensorflow. This is module#3

Timothy Fox

Senior Software Engineer

The course examines different approaches to a data analysis project, with a framework for organizing an analytical effort. Popular tools for data analysis, such as R and Python, are introduced to carry out analysis. The course covers how to obtain and manipulate the raw data for use, as well as the basic exploratory analysis and common data analytical techniques such as regression, simulation, estimation and forecasting. It includes several graphing and visualization tools to understand the data and to present findings and results. Overall goal of this class is to introduce participants to the discipline of data analysis/ data mining, a science of understanding and analyzing data. The class is designed to provide participants with the tools they need for solving real world problems using statistics and a better understanding of data analysis techniques. By the end of the course, you will learn a working framework to approach any data analysis project. You will be able to use R (or Python) to complete a large data analysis project, including a write-up with findings, insights and visuals. All tools used are open sourced. In this program, you will learn the practical expertise regarding data analysis. You will understand how it is the process of transforming data into useful information to support decision making. It is the foundation for data mining, business intelligence, and predictive analytics. This course presents the tools, techniques and common practices used in the industry, including how to obtain, manipulate, explore, model, simulate and present data. It will help you build the essential technical skills to perform as data analyst or data scientist, and to continue other course studies in the certificate program. This is module#10

Pramod Gupta

Senior Software Engineer

This course offers skills and a toolkit for transforming complex data into strategic marketing insights. It covers the essentials of marketing analytics, including data collection and analysis to identify patterns, and teaches predictive modeling for forecasting market trends and customer behavior. Furthermore, you'll gain skills in crafting visual dashboards to present your findings compellingly. With an emphasis on practical application through real-world examples, this course will be useful for marketing specialists, data analysts, and everybody who is thrilled to learn marketing analytics from the beginning.

Anton Voroniuk

Senior Software Engineer