Learn how to boost deep learning algorithms on various processor platforms and custom accelerators; and how to make them more secure and reliable.
Learn Python, NumPy, Pandas, scikit-learn, Regression, Clustering, Classification, SVM, Random Forests, Decision Trees, Dimensionality Reduction, TensorFlow 2, Keras, Convolutional & Recurrent Neural Networks, Autoencoders, and Reinforcement Learning
Learn Python, Artificial Neural Networks, TensorFlow 2, Convolutional & Recurrent Neural Networks, and Natural Language Processing
Learn Open CV, Python, Artificial Neural Networks, TensorFlow 2, Convolutional & Recurrent Neural Networks, Autoencoders and Reinforcement Learning
Learn what Artificial Intelligence (AI) is by understanding its key concepts, applications, and process.Without prior Programming Experience
Learn Python, NumPy, Scipy, Pandas, Jupyter, Scikit-learn, Regression, Clustering, Classification, Support Vector Machines, Random Forests, Decision Trees and Dimensionality Reduction
This "AI for Managers" course is designed exclusively for managers (project managers, CXO's, directors, VP's, senior managers, team leads, etc.) with our unique cloud lab access.
Deep Learning. Understanding TensorFlow, Introduction to Artificial Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Training Neural Networks, TensorFlow Across Devices, Autoencoders, Reinforcement Learning. Enroll now!
Learn Deep Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Autoencoders, and Reinforcement Learning
Boost your Data Science and Machine Learning career with a certificate from IIT Roorkee. Master in-demand technologies like Machine Learning, Artificial Intelligence, OpenAI’s ChatGPT, Stable Diffusion, Deep Learning, Python, and more with hands-on experience in our cloud labs.
Learn Python, Jupyter, Linux, NumPy, SciPy, Scikit-learn, Pandas, Linear algebra, From Industry Experts. A foundation course for Machine Learning & Data Science
Learn Python, NumPy, Pandas, scikit-learn, Regression, Clustering, Classification, SVM, Random Forests, Decision Trees, Dimensionality Reduction, TensorFlow 2, Keras, Convolutional & Recurrent Neural Networks, Autoencoders, and Reinforcement Learning, Git, Docker, Kubernetes, Ansible, Terraform, Jenkins, and Graffana.
