Curated learning path for AI in Research & Academia. Build practical skills through expert-selected courses.
Basic algebra and statistics helpful but not required
Any programming experience; Python preferred
AI-ENABLED SYSTEMATIC LITERATURE REVIEWS
AdvancedNeuro-Symbolic AI - The Alan Turing Institute
IntermediatePyTorch: Deep Learning Through Object Detection
AdvancedComprehensive AI & Machine Learning Bootcamp
BeginnerPyTorch for Deep Learning Bootcamp
BeginnerComplete Machine Learning and Deep Learning With H2O in R
AdvancedAI Productivity & Prompt Engineering Masterclass
AdvancedAI Guide: ChatGPT & Generative AI and Prompt Engineering
BeginnerPyTorch Tutorial - Neural Networks & Deep Learning in Python
AdvancedPractical Neural Networks & Deep Learning In R
AdvancedMachine learning with python [Data Science]
BeginnerAI-ENABLED SYSTEMATIC LITERATURE REVIEWS
AdvancedNeuro-Symbolic AI - The Alan Turing Institute
IntermediatePyTorch: Deep Learning Through Object Detection
AdvancedComprehensive AI & Machine Learning Bootcamp
BeginnerPyTorch for Deep Learning Bootcamp
BeginnerComplete Machine Learning and Deep Learning With H2O in R
AdvancedAI Productivity & Prompt Engineering Masterclass
AdvancedAI Guide: ChatGPT & Generative AI and Prompt Engineering
BeginnerPyTorch Tutorial - Neural Networks & Deep Learning in Python
AdvancedPractical Neural Networks & Deep Learning In R
AdvancedMachine learning with python [Data Science]
BeginnerFollow these courses in order to complete the learning path. Click on any course to enroll.
A master class to provide participants with advanced expertise in executing systematic literature reviews (SL Rs) by harnessing state-of-the-art AI tools and methodologies.
This online learning platform offers free courses and resources on data science and AI topics. The Neuro-Symbolic AI interest group aims to identify the foundations of this field, explore methods for integrating learning and reasoning, and identify applications in areas like robotics and commonsense reasoning.
Empower Your Deep Learning Journey: Become a Self-Sufficient DL Programmer with the Ability to Read and Implement Research Papers Note: These prerequisites will ensure a solid foundation for understanding and implementing the concepts covered in the course.Basic proficiency in Python Basic PyTorch skills Familiarity with Num Py for efficient data manipulation In this course, you will:Learn PyTorch thoroughly, including dataset objects, data loaders, transfer learning, and different gradient modes.Acquire the ability to represent data effectively for solving complex problems.Gain hands-on experience in coding custom loss functions.Develop proficiency in training large models.Join us to unlock the full potential of PyTorch and gain the practical skills necessary to excel in deep learning.Take the Next Leap in Deep Learning: Enroll Now!Don't miss out on this opportunity to elevate your skills in PyTorch and master the art of deep learning. Join our course today and:Unlock the full potential of PyTorch.Unleash the power of PyTorch and Num Py to solve complex data representation problems with a practical example.Develop essential skills for solving complex problems.Gain hands-on experience with custom loss functions.Train and optimize large-scale models.Elevate your skills, conquer challenges, and revolutionize your data expertise today!
Led by GP, a distinguished AI researcher with 11 Pub Med publications and a rich academic background from Cornell, UCSF, NIH, and Amherst College, this course spans the essentials of web development to the frontiers of AI technology. Dive into a learning experience with LIVE HELP available Monday to Friday, 9-5, plus additional online support.Our curriculum is in constant evolution, tailored to your feedback and the dynamic landscape of machine learning and AI. This isn't just another bootcamp; it's a bridge from foundational HTML to pioneering in Python 3, Machine Learning, TensorFlow, and beyond into Artificial Intelligence and Recurrent Neural Networks.Designed for rapid learning, we break down complex concepts into manageable steps. Starting from HTML and CSS to Bootstrap and Java Script, and advancing through Python 3 to data science, machine learning, and AI, we cover ground rapidly but solidly.Expect to delve into:Frontend web technologies: HTML, CSS, Bootstrap, Java Script, j Query Python programming essentials and advanced concepts Data Science, including Machine Learning and AI with TensorFlow Practical applications with projects in sentiment analysis, regression, clustering, and neural networks An exploration of both traditional statistics and machine learning techniques With over 170 lectures and 30+ hours of video content, this course is your most comprehensive guide to becoming a proficient Python developer and an AI specialist. You'll get lifetime access to all materials, including lecture Notebooks.This course is perfect for beginners with no prior programming experience, bootcamp graduates looking to tackle real-world projects, and intermediate Python programmers eager to master AI programming. With a 30-day money-back guarantee, there's no risk in taking the leap. Transform your career with the skills to thrive in the era of AI.
What is PyTorch and why should I learn it?PyTorch is a machine learning and deep learning framework written in Python.PyTorch enables you to craft new and use existing state-of-the-art deep learning algorithms like neural networks powering much of today’s Artificial Intelligence (AI) applications.Plus it's so hot right now, so there's lots of jobs available!PyTorch is used by companies like:Tesla to build the computer vision systems for their self-driving cars Meta to power the curation and understanding systems for their content timelines Apple to create computationally enhanced photography.Want to know what's even cooler?Much of the latest machine learning research is done and published using PyTorch code so knowing how it works means you’ll be at the cutting edge of this highly in-demand field.And you'll be learning PyTorch in good company.Graduates of Zero To Mastery are now working at Google, Tesla, Amazon, Apple, IBM, Uber, Meta, Shopify + other top tech companies at the forefront of machine learning and deep learning.This can be you.By enrolling today, you’ll also get to join our exclusive live online community classroom to learn alongside thousands of students, alumni, mentors, TAs and Instructors.Most importantly, you will be learning PyTorch from a professional machine learning engineer, with real-world experience, and who is one of the best teachers around!What will this PyTorch course be like?This PyTorch course is very hands-on and project based. You won't just be staring at your screen. We'll leave that for other PyTorch tutorials and courses.In this course you'll actually be:Running experiments Completing exercises to test your skills Building real-world deep learning models and projects to mimic real life scenarios<
YOUR COMPLETE GUIDE TO H2O: POWERFUL R PACKAGE FOR MACHINE LEARNING, & DEEP LEARNING IN R This course covers the main aspects of the H2O package for data science in R. If you take this course, you can do away with taking other courses or buying books on R based data science as you will have the keys to a very powerful R supported data science framework. In this age of big data, companies across the globe use R to sift through the avalanche of information at their disposal. By becoming proficient in machine learning, neural networks and deep learning via a powerful framework, H2O in R, you can give your company a competitive edge and boost your career to the next level!LEARN FROM AN EXPERT DATA SCIENTIST:My name is Minerva Singh and I am an Oxford University MPhil (Geography and Environment), graduate. I finished a PhD at Cambridge University, UK, where I specialized in data science models. I have +5 years of experience in analyzing real-life data from different sources using data science-related techniques and producing publications for international peer-reviewed journals.Over the course of my research, I realized almost all the R data science courses and books out there do not account for the multidimensional nature of the topic. This course will give you a robust grounding in the main aspects of practical neural networks and deep learning. Unlike other R instructors, I dig deep into the data science features of R and give you a one-of-a-kind grounding in data science... You will go all the way from carrying out data reading & cleaning to finally implementing powerful neural networks and deep learning algorithms and evaluating their performance using R.Among other things:You will be introduced to powerful R-based
"This course contains the use of artificial intelligence."The AI Productivity & Prompt Engineering Masterclass is your all-in-one solution to leveraging the power of Artificial Intelligence to transform your professional and personal life. Whether you're a student drowning in research papers, a marketer struggling with content creation, or a professional aiming to streamline your workflow, this course is designed for you. We'll demystify complex AI concepts and give you the practical skills you need to become a master of prompt engineering.You won't just learn about AI—you'll learn how to use it to your advantage. This course provides a clear, step-by-step guide to integrating AI into your daily routine. We'll cover everything from drafting professional emails and creating concise meeting summaries to organizing your to-do lists and overcoming writer's block. Discover how to create captivating social media content, find relevant hashtags, and build a strong online presence.This masterclass also explores advanced applications, including how AI is used in specialized fields like law and how to earn money by using AI for freelance work and creating digital products. Learn the secrets of personalizing ChatGPT to generate responses that are perfectly tailored to your needs, saving you countless hours.By the end of this course, you’ll not only be proficient in using AI tools but you'll also have a clear understanding of the AI landscape and the skills to adapt to future trends. Stop working harder and start working smarter. Enroll now and unlock a new level of productivity.
Your journey to AI and ChatGPT success begins here! This course will take you from a beginner to someone who knows how AI and ChatGPT and Generative AI and Prompt Engineering work, knows how to use the power of AI tools to master productivity, and feel really confident about writing effective prompts. This course is designed for those who want to learn the complete ChatGPT, Generative AI and Prompt Engineering. It covers everything to learn AI. I have been using AI tools for my work. I have gained the knowledge in AI. I decided to create this course and share my knowledge and best-kept secrets - to debunk the AI myths, set the record straight, share my experiences with ChatGPT, and all the lessons I’ve learned along the way, and of course, show you how easy it can become to boost your productivity and expand your creativity with the help of AI.You will learn how to use ChatGPT to generate content more productively, beat creative blocks, and optimize your creative process. We will also look at how to quickly research new topics, how to summarize long content formats and repurpose them, and whether it is possible to scale your business thanks to AI. This course will teach you the basics, the advanced stuff, and everything in between. Join me, and we will uncover the truth about AI, ChatGPT, and all the AI-powered tools. I hope you got excited already because, well, there’s a lot to uncover! Let’s go!
Master the Latest and Hottest of Deep Learning Frameworks (PyTorch) for Python Data ScienceTHIS IS A COMPLETE NEURAL NETWORKS & DEEP LEARNING TRAINING WITH PyTorch IN PYTHON!It is a full 5-Hour+ PyTorch Boot Camp that will help you learn basic machine learning, neural networks and deep learning using one of the most important Python Deep Learning frameworks- PyTorch. HERE IS WHY YOU SHOULD ENROLL IN THIS COURSE:This course is your complete guide to practical machine & deep learning using the PyTorch framework in Python.. This means, this course covers the important aspects of PyTorch and if you take this course, you can do away with taking other courses or buying books on PyTorch. In this age of big data, companies across the globe use Python to sift through the avalanche of information at their disposal and advent of frameworks such as PyTorch is revolutionizing Deep Learning... By gaining proficiency in PyTorch, you can give your company a competitive edge and boost your career to the next level.THIS IS MY PROMISE TO YOU: COMPLETE THIS ONE COURSE & BECOME A PRO IN PRACTICAL PyTorch BASED DATA SCIENCE!But first things first. My name is Minerva Singh and I am an Oxford University MPhil (Geography and Environment) graduate. I recently finished a PhD at Cambridge University (Tropical Ecology and Conservation). I have several years of experience in analyzing real life data from different sources using data science related techniques and producing publications for international peer reviewed journals. Over the course of my research I realized almost all the Python data science courses
YOUR COMPLETE GUIDE TO PRACTICAL NEURAL NETWORKS & DEEP LEARNING IN R: This course covers the main aspects of neural networks and deep learning. If you take this course, you can do away with taking other courses or buying books on R based data science. In this age of big data, companies across the globe use R to sift through the avalanche of information at their disposal. By becoming proficient in neural networks and deep learning in R, you can give your company a competitive edge and boost your career to the next level!LEARN FROM AN EXPERT DATA SCIENTIST:My name is Minerva Singh and I am an Oxford University MPhil (Geography and Environment) graduate. I recently finished a PhD at Cambridge University. I have +5 years of experience in analyzing real life data from different sources using data science related techniques and producing publications for international peer reviewed journals.Over the course of my research I realized almost all the R data science courses and books out there do not account for the multidimensional nature of the topic . This course will give you a robust grounding in the main aspects of practical neural networks and deep learning. Unlike other R instructors, I dig deep into the data science features of R and give you a one-of-a-kind grounding in data science... You will go all the way from carrying out data reading & cleaning to to finally implementing powerful neural networks and deep learning algorithms and evaluating their performance using R.Among other things:You will be introduced to powerful R-based deep learning packages such as h2o and MXNET. You will be introduced to deep neural networks (DNNs), convolution neural networks (CNNs) and recurrent neural networks (RNNs). You will learn to apply these frameworks to real life data including credit card fraud data, tumor data, images among others for c
HERE IS WHY YOU SHOULD TAKE THIS COURSE This course is complete guide to both Supervised and Unsupervised learning using Python.This means,this course covers all the main aspects of practical Data Science and if you take this course you can do away withtaking other course or buying books on python based Data science .In this age of Big data companies across the globe use python to sift through the Avalache of information at their disposal..By becoming proficient in unsupervised and supervised learning in python,you can give your company a competitive edge and boost your careeer to the next level.LEARN FROM AN EXPERT DATA SCIENCE WITH 3+ YEARS OF EXPERIENCE:My Name is Aakash Singh and I had also recently published my Research Paper in INTERNATIONAL JOURNAL IJSR on Machine Learning Dataset.This course will give you robust grounding in the main aspects of Machine Learning-Clustering and Classification.NO PRIOR PYTHON OR STATISTICS OR MACHINE LEARNING KNOWLEDGE IS REQUIRED:you will start by absorbing the most valuable python Data science basics and techniques.I use easy to understand hands on methods to simplify and address even the most difficult conceptsin python.My course will help you to implement the methods using real data obtained from different sources.After using this course you will easily use package like numpy,pandas,and mathplotlib to work with real data in python..We will go through lab section on jupyter notebook terminal .we will go through lots of real life examples for icreasing practical side knowledge of the programming and we should not neglect theory section als,which is essential for this course,by the end of this course you will be able to code in python language and feel confident with machine learning and you will also be able to create your own program amd implement were you want.Most
Explore related content to expand your skills beyond this learning path.
Enroll in this path to track your progress and stay motivated.