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Learn Deep Learning online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.
Duke University
This third and final course of the AI Product Management Specialization by Duke University's Pratt School of Engineering focuses on the critical human factors in developing AI-based products. The course begins with an introduction to human-centered design and the unique elements of user experience…
Great Learning
When deep neural networks train slowly or behave unpredictably, normalization choices can decide whether the model improves or stalls. This free batch normalization course explains the idea behind batch normalization, why scale matters across layers, and how the technique supports faster, more stab…
IBM
A short hands-on project: Computer Vision, Deep Learning, Python.
Welcome to this No Black Box Machine Learning Course in JavaScript. It’s a course where we code without using libraries because it’s the best way to learn all inner workings of a machine learning system and you’ll greatly improve your software development skills as well. The goal in this course is…
IBM
Training complex deep learning models with large datasets takes along time. In this course, you will learn how to use accelerated GPU hardware to overcome the scalability problem in deep learning.
Microsoft
Learn the fundamentals of deep learning with TensorFlow! This beginner friendly learning path will introduce key concepts to building machine learning models.
IBM
This course focuses on the core concepts and models of generative AI, including deep learning and large language models. It covers the concept of foundation models and the capabilities of pre-trained models and platforms for AI application development.
IBM
Artificial Intelligence (AI) is all around us, seamlessly integrated into our daily lives and work. Enroll in this course to understand key AI terminologies and applications, launch your AI career, or transform your existing one. This course covers core AI concepts, including deep learning, machine…
IBM
In this capstone project, you'll use either Keras or PyTorch to develop, train, and test a Deep Learning model. Load and preprocess data for a real problem, build the model and then validate it.
IBM
This course introduces deep learning and neural networks with the Keras library. In this course, you’ll be equipped with foundational knowledge and practical skills to build and evaluate deep learning models. You’ll begin this course by gaining foundational knowledge of neural networks, including f…
University of Pennsylvania
In this course, you will go in-depth to discover how Machine Learning is used to handle and interpret Big Data. You will get a detailed look at the various ways and methods to create algorithms to incorporate into your business with such tools as Teachable Machine and TensorFlow. You will also lear…
Google Cloud
In this course, we dive into the components and best practices of building high-performing ML systems in production environments. We cover some of the most common considerations behind building these systems, e.g. static training, dynamic training, static inference, dynamic inference, distributed T…
This comprehensive AI Engineering roadmap will walk you through the essential skills and techniques every aspiring AI Engineer should master by 2025. From fundamental mathematics and key machine learning algorithms to deep learning, AI Engineering best practices, and large language models—you’ll ge…
DeepLearning.AI
Master advanced PyTorch techniques to build high-performing, efficient deep learning models. In this course, you’ll expand your skills in hyperparameter optimization, model profiling, and workflow efficiency. You’ll experiment with learning rate schedulers, tackle overfitting, and use automated hyp…
IBM
A short hands-on project: Deep Learning, Generative AI, Python.
IBM
A short hands-on project: Computer Vision, DevOps, PyTorch.
Google Cloud
This course describes different types of computer vision use cases and then highlights different machine learning strategies for solving these use cases. The strategies vary from experimenting with pre-built ML models through pre-built ML APIs and AutoML Vision to building custom image classifiers…
NVIDIA
Artificial Intelligence, or AI, is transforming society in many ways. From speech recognition to self-driving cars, to the immense possibilities offered by generative AI. AI technology provides enterprises with the compute power, tools, and algorithms their teams need to do their life’s work. Desig…
IBM
A short hands-on project: Embeddable AI, LLM, Natural Language Processing.
IBM
A short hands-on project: Data Science, Deep Learning, Machine Learning.
