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82% Off Deep Learning A-Z™ 2023: Neural Networks, AI & ChatGPT Bonus | Udemy Review & Coupon

82% Off Deep Learning A-Z™ 2023: Neural Networks, AI & ChatGPT Bonus | Udemy Review & Coupon

Learn to create Deep Learning Algorithms in Python from two experts in Machine Learning & Data Science. Templates included.

This course covers:

This course, Deep Learning A-Z™ 2023: Neural Networks, AI & ChatGPT Bonus, provides comprehensive coverage on the fundamentals of deep learning and artificial intelligence. It is composed of 22 hours of on-demand video, 30 articles, 5 downloadable resources, and a certificate of completion for those who complete the course. The course can be accessed both via mobile devices and TV to allow for maximum flexibility.

What you'll learn

Deep Learning A-Z™ 2023: Neural Networks, AI & ChatGPT Bonus provides an extensive overview of the latest advancements in Deep Learning and Artificial Intelligence technology. 

In this course, learners gain a comprehensive understanding of Artificial Neural Networks, including the intuition behind their development and application to advanced problem-solving scenarios.

Learners learn how to apply Artificial Neural Networks in practice through hands-on projects, coding exercises, and practical implementation scenarios. Additionally, learners expand upon their knowledge by learning about Convolutional Neural Networks and Recurrent Neural Networks, as well as their applications to computer vision and natural language processing tasks.

The course also covers the development of Software 2.0 with ChatGPT for autonomous conversation systems that can ask questions, answer simple queries from customers or visitors, facilitate data collection from users on complex topics like seismic imaging or engineering simulations. Utilizing a combination of proprietary algorithms such as NLU (Natural Language Understanding), NLG (Natural Language Generation), Transfer Learning and a Proprietary Formulation., ChatGPT will enable AI models to understand context in conversations for long periods of times and respond more accurately which enables businesses to automate customer support tasks while still delivering great customer service experience at scale. With ChatGPT, businesses can implement AI-powered voice and text chatbots to automate customer support tasks while still delivering great customer service experience at scale.

At the end of this course, you will be able to:

• Understand the fundamentals of Deep Learning and Artificial Neural Networks.

• Implement Deep Learning algorithms using Python and TensorFlow.

• Train and deploy Machine Learning models for a variety of tasks.

• Utilize Convolutional Neural Networks to solve computer vision tasks.

• Apply Recurrent Neural Networks to natural language processing tasks.

• Use ChatGPT to create autonomous conversation systems that can ask questions, answer simple queries from customers or visitors, and facilitate data collection from users on complex topics.

About Instructor

Kirill Eremenko

Kirill Eremenko is a highly experienced and renowned data science consultant with a diverse background in industries such as finance, retail, and transport. Having received invaluable training from leading analytics mentors at Deloitte Australia, Kirill has gone on to share his expertise with thousands of aspiring data scientists through his courses on Udemy.

What sets Kirill apart is his unique ability to combine his real-life experience with his academic background in Physics and Mathematics, resulting in a comprehensive and professional coaching approach to the field of Data Science. His teaching style is characterized by intuitive explanations, ensuring that even the most complex topics are easily understood.

With a deep passion for Data Science, Kirill is committed to sharing his extensive knowledge and enthusiasm with his students. Whether you are a beginner or an experienced professional, Kirill's courses offer a valuable opportunity to learn and grow in the field of Data Science. Prepare to be inspired and gain the skills necessary to excel in this exciting and rapidly expanding industry.

Hadelin de Ponteves

Hadelin de Ponteves is a renowned online entrepreneur who has made significant contributions to the world of new technology education. With more than 30 top-rated e-courses under his belt, he has successfully imparted knowledge on various cutting-edge topics like Artificial Intelligence, Machine Learning, Deep Learning, Blockchain, and Cryptocurrencies.

Driven by a passion for democratizing education, Hadelin aims to make his expertise accessible to as many people as possible. His ultimate goal is to help individuals from all walks of life gain a deep understanding of these emerging technologies and harness their potential.

Hadelin's dedication and expertise have resonated strongly with learners across the globe, as evidenced by the impressive number of over 1.7 million students who have already subscribed to his courses. This outstanding achievement speaks volumes about both the quality of his instructional material and his ability to effectively communicate complex concepts in an accessible manner.

Whether you are a beginner seeking to develop a basic understanding of AI and ML or a professional aiming to enhance your skillset, Hadelin's courses offer an exciting training program that caters to diverse learning needs and levels of expertise.

By enrolling in Hadelin's courses, learners are presented with an opportunity to explore deep learning, neural networks, and AI through a comprehensive curriculum that covers topics such as convolutional neural networks, natural language processing, self-organizing maps, and more. His courses are designed to equip students with the necessary knowledge and skills to leverage these technologies in real-world applications, ranging from autonomous driving to speech recognition.

With Hadelin de Ponteves as your guide, you can unlock the vast potential of AI, Machine Learning, and Deep Learning, while staying at the forefront of this rapidly evolving field. Don't miss out on the chance to learn from a true industry expert and enroll in Hadelin's highly acclaimed e-courses today.


Deep learning is an area of artificial intelligence that has been growing exponentially in recent years. It is the technology behind self-driving cars, as well as being responsible for diagnosing patients better than doctors ever could, and for beating the Go World Champion at the game where intuition plays a key role. With deep learning, machines can solve problems that would have been considered impossible in the past. This technology relies on a complex understanding of data to be able to draw connections between different data sets to identify patterns. The more complex the problem needing solution becomes, the better deep learning works and this is why it is seen as such an important advancement in AI research.

Recent increases in computing power means that deep learning can now analyse more data than ever before and machines can be taught to understand a range of problems including facial recognition, natural language processing and medical image diagnosis among many other applications. In order to further advance these capabilities, researchers are combining unsupervised learning models with supervised ones so that they become smarter over time. All these advances mean that we are slowly unraveling the mysteries of artificial intelligence and pushing it closer to becoming indistinguishable from human intellect.


In order to take advantage of the benefits of Python programming, it is important to have a base understanding of high school mathematics. Many mathematical concepts, such as algebra and calculus, are essential to programming in any language, and Python is no exception. It is recommended that anyone looking to learn Python has a working knowledge of basic equations, polynomials, and analytic methods used in mathematics.

In addition to having familiarity with mathematical concepts, it is also beneficial for students to have an elementary level understanding of Python programming. Basic knowledge about data types, functions, loops and conditionals are necessary for successful application development in the language. Furthermore, it is important for learners to understand how programming works at a fundamental level so as not to become overwhelmed when attempting more advanced tasks. Learning these fundamentals will give students the confidence they need as they hone their skills in this ever-evolving field of technology.

This course is intended for:

This course is an ideal fit for anyone interested in Deep Learning. Whether you’re a high school student looking to develop their knowledge of math before tackling the advanced topics, or you already have experience with classical algorithms like linear regression or logistic regression but want to explore deeper into the field of Deep Learning, this course is great starting point.

Additionally, those without much coding experience but eager to start applying Deep Learning techniques right away on data sets will find this course immensely helpful. With its easy-to-follow tutorials and step-by-step guidelines, non-coders can benefit from learning about and using Deep Learning in no time. College students interested in pursuing a career in Data Science may also find this course well suited for building a comprehensive understanding of the topic while allowing them to gain useful skills they can apply to their studies and future jobs. Finally, data analysts hoping to level up their expertise with an understanding of what Deep Learning brings to the table will benefit greatly from taking this course as well.


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Customer Reviews

Based on 2 reviews
Best deep learning course I've been on.

While some focused heavily on mathematics, my primary interest was from a programming standpoint. The descriptions of how all the components work were covered, but without going into deep mathematical theory. This was a good fit for me.

The course was really helpful for me.

The Intuitive lessons were designed to be accessible and engaging for beginners. The speed of lecture delivery was satisfactory. It might be beneficial to include additional practice cases or examples for learners to practice. One of the major benefits of this course was the Q&A team. They consistently provided accurate responses within a timeframe of one to two days. The experience was generally positive and would be recommended to everyone.

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