
Learn Selenium WebDriver with Python for automated testing, covering locators, actions, waits, and advanced topics like PyTest and Page Object Model.

Learn to build, train, and deploy neural networks using Keras API. Covers data preprocessing, CNNs, transfer learning, and model deployment techniques for both front-end and back-end applications.

Learn to create, search, and manage Elasticsearch indices using Python, covering bulk operations and API usage for efficient data handling and retrieval.

Learn Redis with Python: setup, data structures, pipelines, transactions, security, and server management for efficient database operations.

Learn to analyze Twitter data using Python, NLTK, and machine learning techniques for sentiment analysis and user influence ranking.

Learn Python-based image and video analysis using OpenCV, covering topics from basic operations to advanced techniques like object detection and feature matching.

Learn computer vision and OpenCV in C++, covering installation, image processing, object detection, depth estimation, and GPU acceleration. Gain practical skills for real-world applications.

Learn to build diverse computer vision projects using OpenCV and Python, from air canvas to augmented reality, with step-by-step explanations and code implementations.

In this tutorial series, we would be working on hands-on projects using OpenCV and Python.

Learn to deploy neural networks for object detection, depth estimation, and point cloud creation using OpenCV DNN module with Python and C++. Explore GPU acceleration and custom YOLOv5 models.

Learn computer vision techniques with Python and OpenCV, from face detection to emotion recognition, creating filters, and building interactive projects like virtual mouse and games.

Learn face detection, recognition, and object detection using OpenCV and Python. Develop practical skills in computer vision, including gesture recognition and virtual mouse creation.

We are going to open Image/Video Webcam in OpenCV and then work on corner and edge detections along with histogram equalization.

Learn practical OpenCV projects in Python: face detection, motion tracking, image filters, computer vision games, and more. Hands-on experience with real-world applications.

With this course, you would build the OpenCV library on the Nvidia TX2 Jetson kit and L4T R21, process images and create some facial detection programs using python

Comprehensive tutorial series on YOLOv4 object detection, covering installation, implementation, and applications in computer vision using OpenCV and Python.

Learn to program OpenCV on Raspberry Pi: installation, image processing, video capture, edge detection, color manipulation, and more. Hands-on tutorials in C++ and Python for practical computer vision skills.

Learn practical computer vision techniques with OpenCV, including face detection, cursor control, object recognition, and image processing in Python.

Learn Neo4j for data science: connect to databases, use Python drivers, write Cypher queries, import data, perform graph analytics, and compare with SQL databases.

In this course, Priyanka Vergadia will teach how to design chatbots, powered with Natural Language Understanding (NLU) and Dialogflow.

Comprehensive DialogFlow chatbot for COVID-19 information, featuring real-time statistics, email reports, news updates, and conversation logging using Python, Flask, MongoDB, and RapidAPI.