AI & Robotic
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100 ChatGPT Prompts that you can use in your business
"100 ChatGPT Prompts that You Can Use in Your Business" provides a comprehensive list of versatile prompts designed to help entrepreneurs streamline tasks across various business areas, including marketing, customer service, product development, and more. These prompts are useful for generating ideas, creating content, improving communication, and enhancing overall business efficiency.
12 Real World CaseStudies for Machine Learning
Master Machine Learning by getting your hands dirty on Real Life Case studies. Be A Kaggle and Industry Grand master
20+ End-To-End Machine Learning Projects & Deployment 2021
Learn How To Deploy Machine Learning models on Flask, Heroku, AWS, Google Cloud, Microsoft Azure, Streamlit. Beginner To Advanced
A Beginner’s Guide to Deep Learning
An accessible introduction to deep learning, covering fundamental concepts, algorithms, and practical applications in the field.
A Visual Introduction to Algorithms
This is an excellent course for an introduction to algorithms designed for early learners who can benefit from and learn algorithms using visual tools.
Advanced Computer Vision and Deep Learning
Explore advanced topics in computer vision and deep learning techniques for complex image analysis tasks.
Advanced Deep Learning with Keras
Learn how to develop deep learning models with Keras.
Advanced NLP with spaCy
Learn how to use spaCy to build advanced natural language understanding systems, using both rule-based and machine learning approaches.
Advanced RAG Techniques: Choosing the Right Approach
The course explains advanced RAG concepts, showcasing their implementation through LangChain for enhanced practical learning and application.
Adversarial Search
Study adversarial search techniques in AI for developing competitive agents in games and strategic decision-making.
AI edge engineer
The interplay between AI, cloud, and edge is a rapidly evolving domain. Currently, many IoT solutions are based on basic telemetry. The telemetry function captures data from edge devices and stores it in a data store. Our approach extends beyond basic telemetry. We aim to model problems in the real world through machine learning and deep learning algorithms and implement the model through AI and Cloud on to edge devices. The model is trained in the cloud and deployed on the edge device. The deployment to the edge provides a feedback loop to improve the business process (digital transformation).
AI Ethics
Explore AI ethics focusing on principles, fairness, bias reduction, and trust in AI design.