Explore Catalogue

Learn Python programming from very basics to intermediate level with 20+ practical projects. This course Is for beginners as well as intermediate Python developers who want to create real-world applications / projects using python programming language.   Projects:  Screenshot application  Screenshot application with GUI interface  Password generator  Email sender application  COVID-19 updater / notifier bot  OCR - image to text  Chrome automation  Text to speech  Speech to text   Webcam application  Screen recorder  Face detection  Weather application  URL shortener  Internet speed test And many more....

Arbaz Khan

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 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

An intelligent virtual assistant (IVA) or intelligent personal assistant (IPA) is a software agent that can perform tasks or services for an individual based on commands or questions. In this course, you will learn how you can make an AI assistant using Python. It can automate tasks with just one voice command and uses different technologies to add unique features.

Arbaz Khan

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 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

If you are a hobbyist, a teacher, a student or an engineer with a basic understanding of electronics and want to learn or teach physical computation with Microbit, this is the course for you. After this course, you will be confident enough to write code in MicroPython for any compatible hardware. You will also develop an in-depth understanding of the Micro:bit and learn to interface a variety of sensors and peripherals with the Micro:bit. As a part of this course, we will build from ground up, a Weather Station using the Micro:bit with an LCD panel and a BMP180 Sensor. We will also implement a Remote Home Automation Project using a relay module.

Venkatesh Varadachari

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

An intelligent virtual assistant (IVA) or intelligent personal assistant (IPA) is a software agent that can perform tasks or services for an individual based on commands or questions. In this course, you will learn how you can make an advanced AI assistant using Python. It can automate tasks with just one voice command and uses different technologies to add unique features such as:  Send Emails  Google Search  Wikipedia Search  Play Songs  Weather Updates  News Updates  And many more....

Arbaz Khan

Senior Software Engineer