Course Information
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Course Overview
Learn currently the most advance technology right now A.I , with combinations of C++,GEN AI ,Chat GPT and lots of things
Welcome to the era of Artificial Intelligence, where everything is rapidly evolving. In this dynamic era, it's crucial to enhance your skills by acquiring the most essential, cutting-edge knowledge that is currently in high demand in the market: Artificial Intelligence. This course takes you on a comprehensive learning journey, delving into the most advanced concepts in AI, such as
Computer Vision
Generative A.I
RNN
Variational Autoencoder
Pytorch With Python and C++
Numpy and Pandas
And lot of more things..
There are numerous cutting-edge concepts in high demand at the moment. I am formerly engaged in the Trustline security limited organization, where we harness real-world experience to create resilient AI solutions. I leverage this experience to instruct you on crafting advanced, industry-ready, robust A.I.
In this course, we embark on a journey to develop AI across various domains, including stock market analysis, human face generation, image classification, and more. This course not only reinforces your programming and mathematical fundamentals but also equips you to build AI solutions in two distinct languages: Python and C++. This proficiency in both languages is a rare and valuable asset in the deep learning space.
Furthermore, we explore best practices that enable the systematic creation of AI solutions. We delve into the theory of MLOPS (Machine Learning Operations), enhancing your capabilities and making your talents shine brightly in the competitive AI market.
We also explore how Chat GPT LLM can enhance and expedite our AI development in the realm of Data Science. This section is particularly engaging, as Chat GPT serves as a valuable assistant in addressing repetitive and logic-free tasks, making our AI journey even more exciting and efficient.
At the conclusion of this course, you will emerge as a transformed individual with the ability to innovate and create solutions that benefit society, possessing a brilliant mind ready to make a positive impact on the world
Course Content
- 24 section(s)
- 211 lecture(s)
- Section 1 Introduction
- Section 2 Google Colab Crash Course
- Section 3 Dive into Python
- Section 4 Deep Dive into Numpy
- Section 5 Deep Dive into Pandas ?
- Section 6 Pytorch Basics
- Section 7 ANN (Artificial Neural Network) Your First A.I
- Section 8 Activation Functions In-DEPTH
- Section 9 Loss Functions IN-DEPTH
- Section 10 CNN (Computer Vision) - Intuition
- Section 11 CNN Project
- Section 12 Transfer Learning
- Section 13 Regularization
- Section 14 Some Advance Topics
- Section 15 RNN Intuition
- Section 16 Stock Prediction A.I
- Section 17 Tweet Sentiment Classifications Via Torch Lightining
- Section 18 Generative A.I Era
- Section 19 Human Face Generation with VAE
- Section 20 Different ways of Model Saving And Loading
- Section 21 Libtorch : Deep Learning Beyond Python C++
- Section 22 MLOPS:Practices for a great A.I Model
- Section 23 Chat GPT:Your's Helping Hand in Data Science
- Section 24 Outro
What You’ll Learn
- A Great Understanding in Artificial intelligence and deep learning
- A Great understanding of using these AI libraries like NUMPY and PANDAS
- A Visionary mind to innovate in future
- How to create A Neural network from scratch and export into C++
- A Basic solid understanding of Both Python and C++ (Libtorch)
- A literature Overview of MLOPS (Machine Learning Operations) For effectively creating AI Models
- A Great Understanding Of Pytorch and Pytorch Lightning that is very RARE
- Able to understand and teach Computer how to see AKA Computer Vision
- Natural Language Processing : Creating Tweet Sentiment A.I Model
- A Solid Understanding of Maths behind A.I and Lots of Advance Concept
- Different Ways to Export Your Hard Trained A.I Models
- How to Effectively Use Chat GPT throughout your Future Data Science Journey
- Basic Understanding of how to use CMAKE
Skills covered in this course
Reviews
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MMadhav Pratap Singh
Deep Dive into Deep Learning course provides a comprehensive journey through neural networks, convolutional networks, and recurrent networks. The course excels in clarity, breaking down complex concepts with practical examples. Instructor expertise is evident, fostering a deep understanding of the subject matter. Overall, an insightful and engaging course for those seeking an in-depth exploration of deep learning concepts and applications."
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AAnmol Deep Singh
Good valuable course
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VVishu Vishnoi
The course provides a solid foundation in deep learning, and the hands-on exercises are both challenging and rewarding. The instructors are knowledgeable, and their passion for the subject matter shines through in their teaching. The support from the community and instructors has been invaluable, creating a collaborative learning environment.
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OOm Chaudhary
I really appreciate the depth you have covered with each point. At first, I did not expect this course to be this detailed and easy to understand. I would definitely suggest this course to my friend.