AI Essential Bundle
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AI Essential Bundle

Upskill to Accelerate in 2022!

AI Essential Bundle

Upskill to Accelerate in 2022!

Amp Up your Artificial Intelligence Skills for futuristic 2022.

Language: English

Buy this Course Bundle @

Price: ₹2022 only   Flat 67% OFF

Amp Up your Artificial Intelligence Skills for futuristic 2022.

  Language: English

Buy this Course Bundle @

Price: ₹2022 only

Flat 67% OFF

*Limited time offer

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About this Course Bundle

About this Course Bundle

22’s to turn the recruitment odds in your favor! Learn to create a powerful ML model for data analysis, predictive analytics & more. Throughout the course, you will get familiarized with incorporating Deep Learning models using Python Libraries such as Keras & PyTorch. 

100% online and Self-paced learning

Full lifetime access

Dedicated Forum Support 

Courses you get in this Bundle:
Machine Learning

1 Module

Keras for Beginners

3 Modules

Deep Learning using Pytorch

3 Modules

Unlike other courses, GUVI believes in hands-on project learning & frequent assessment for every course, so you will learn to program by building & hosting real-time applications on cloud.

*Limited time offer

*Limited time offer

What will you achieve?
  • Understand the key computational concepts of Python/w Machine Learning.
  • You will discover the definition of AI, its applications, use cases and understand terms like machine learning, neural network, CNN, RNN, deep learning & more. 
  • Installation of Anaconda & Jupyter Notebook IDE, you will learn how to use Keras .
  • Run various ML algorithms for supervised-unsupervised learning. 
  • Understand the concepts of Databases & Data Warehouse
  • Basic foundational knowledge of Python: Work with the list, tuples, Python pip, lambada, PythonSQL, JSON & more. 
  • Run various ML algorithms for supervised-unsupervised learning. 
  • Basic foundational knowledge of Python: Work with the list, tuples, Python pip, lambada, PythonSQL, JSON & more. 

*Limited time offer

*Limited time offer

Prerequisites

Prerequisites

  • Basic understanding of Python.
  • A will to learn. 
Who is the course for?

Who is the course for?

  • Anyone interested in AI, Machine Learning & Deep Learning.
  • Students who want to get started with Python & its applications, especially Data Science. 

The average salary for a Artificial Intelligence Engineer is ₹2,000K / yr in India.

What you will learn from this course bundle ?
Machine Learning Syllabus:
Machine Learning

About Machine Learning Course
Installation of Anaconda
What is Machine Learning
Types of Machine Learning, Supervised Learning and Regression
Types of ML,Logistic Regression and Unsupervised Learning
SVM -What is SVM and How do they work
SVM-Loading and Examining our dataset
SVM-Building and Tweaking our SVM Classification mode
What is Decision Tree?
Building the Decision Tree : Decision Tree Learning
Building a Decision Tree - Information Gain a Gini Impurity
Decision Tree Lab:Building our First Decision Tree
Decision Tree Lab:Viewing and Tweaking our Decision Tree
What is Overfitting
Random Forest Lab
Teamwork
Avoiding Overfitted Models

Keras for Beginners Syllabus:
Beginner Module
  • Welcome to Keras for Beginners course
  • Course Walk Through
  • Getting Started with Colab 1 - First Taste of Colab
  • Getting started with Colab 2 - More about Colab
  • Getting Started with Colab 3 - Little beyond the basics of Colab
  • Introduction to Keras 1
  • Introduction to Keras 2
  • Introduction to Keras 3
  • Introduction to Keras 4
  • Introduction to Keras 5
Intermediate Module
  • Fully Connected Networks - 0 - Project Overview
  • Fully Connected Network - 1 - Preprocessing the Data
  • Fully Connected Network - 2 - Creating the Model
  • Fully Connected Network - 3 - Training the model
  • Fully Connected Network - 4 - Saving the Model
  • Fully Connected Network - 5 - Testing and Evalution
  • Fully Connected Network - 6 - Improving the Model Performance
  • OPTIONAL SUGGESTED STUDENT PROJECT 1 - Fully Connected Network
  • Convolutional Neural Networks - 0 - Project Overview
  • APPENDIX 1 - Basics of Convolutional Neural Networks
  • Convolutional Neural Network - 1 - Data Preprocessing
  • Convolutional Neural Network - 2A - Building the Model - Conv Layers
  • Convolutional Neural Network - 2B - Building the Model - Dense Layers
  • Convolutional Neural Network - 3A - Training the model
  • Convolutional Neural Network - 3B - Improving the Network Performance
  • Convolutional Neural Network - 3C - Improving the Network Performance
  • NLP - 0 - Project Overview
  • NLP - 1A - Text Data Processing - Built-in Dataset
  • NLP - 1B - Raw Data Processing
  • NLP - 1C - Raw Data Splitting
  • NLP - 2A - Tokenize Text Data
  • NLP - 2B - Padding
  • NLP - 3A - GloVe Word Embeddings
  • NLP - 3B - Embeddings Matrix
  • NLP - 4 - Fully Connected Network for Text Analysis
  • NLP - 5 - CNNs for Text data
  • NLP - 6 - RNNs for Text Data
  • NLP - 7 - LSTMs for Text Data
  • OPTIONAL STUDENT PROJECT EXERCISES NLP
Advanced Module
  • Transfer Learning - 0 - Project Overview
  • Transfer Learning - 1 - Project Overview - Introduction to Transfer Learning
  • Transter Learning - 2 - Project Overview - Introduction to Kaggle Datasets
  • Transfer Learning - 3A - Importing Kaggle Dataset
  • Transfer Learning - 3B - Data Preprocessing
  • Transfer Learning - 4 - Base Model
  • Transfer Learning - 5 - Keras Functional API
  • Transfer Learning - 6 - Classification Layers
  • Transfer Learning - 7 - Training with fit_generator
  • Course Wrapup - Beyond The Basics
Deep Learning using Pytorch Syllabus:
Beginner Module
  • Introduction to Google Colab and Pytorch
  • Getting started with Pytorch
  • Pytorch vs. NumPy
  • Creating matrices using Tensors
  • Applying Tensor Operations and Functions
  • Indexing, Slicing and Reshaping Tensors
  • Machine Learning vs. Artificial Intelligence vs. Deep Learning
  • Steps in Training a Deep Learning Algorithm
  • Applications of Deep Learning
  • Pytorch Implementation using Forward Propagation
Intermediate Module
  • Practical Application of Deep Learning in predicting Loan Default
  • Backward Propagation in Pytorch
  • Constructing Fully Connected Neural Networks
  • Practice Example: Fully Connected Neural Network
  • Activation Functions
  • Applying Activation Functions using Pytorch
  • Training Neural Networks
  • Loss Functions
  • Applying CE and Softmax function using Pytorch
  • Preparing Datasets in Pytorch
Advanced Module
  • Datasets and Dataloaders in Pytorch
  • Training Neural Network using CIFAR 10 dataset
  • Convolutional Neural Networks (CNN)
  • Convolutions in Pytorch
  • Pooling in CNN
  • Building CNN
  • Constructing CNN using Sequential Module
  • Overfitting in Neural Network
  • Techniques to counter overfitting
  • Final Thoughts

*Limited time offer

*Limited time offer

Our Learners
Midhun Devasia

You will be lucky to find quality courses on GUVI. I must say that I was really lucky to get courses at such a low and discounted price. I got more than 9 hours of video and around 20 more resources to gain knowledge of programming. GUVI provides a wide variety of courses both technical and non-technical. I suggest GUVI is the best choice.

Arjun Govindan

What makes GUVI different is that it provides vernacular courses which make it easy to understand & practice platforms like CodeKata, WebKata & MicroArc, all these helped me improve my practical programming skills in the front end, back end. I highly recommend it if you want to get started with something new.

Pranav Mahadeokar

I have opted for a combo-course that starts with the basics of the popular technologies and made me a pro in its domain... Codekata is very damn helpful to crack placements because it improved my efficiency in coding... we just need to be persistent and that’s all it takes. I am very happy to encounter GUVI!

*Limited time offer

Get Unlimited Access to Our Practise Platform

CodeKata

A tool-kit specifically developed to boost the coding skills and makes you ever-ready to crack interviews.

WebKata

A cloud-based module to hone your front end skills without any hassle of local environment setup.

MicroARC

MicroARC is a standardized skill assessment platform powered by Artificial Intelligence with a huge question library. 

Verified Certificate

 Verified Certificate

You can share your Course Certificates in the Certifications section of your LinkedIn profile, on printed resumes, CVs, or other documents.

  • Certificates are issued by an IIT-M incubated company-GUVI.
  • Certificates are globally recognized & they upgrade your programming profile.
  • Certificates are generated after the completion of course.
  • Certificates are sharable on your LinkedIn profile.

*Limited time offer

*Limited time offer

You can share your Course Certificates in the Certifications section of your LinkedIn profile, on printed resumes, CVs, or other documents.

Frequently Asked Question

What is the refund policy?

Customer satisfaction is our first priority. If you are not satisfied with the course, send a mail to [email protected] with the reason for refund and your feedback on the course with the subject line "ProductThinking – Refund” , within 7 days of purchasing the course. Your refund will be processed immediately. 

Will I gain access to any sort of Forum support?

Yes. You will gain complete access to our forum support to connect with our fellow aspiring users. 

Apart from these courses, will I get access to any practice platforms?

You will gain access to CodeKata which is a gamified practice platform which hosts 1000+ curated coding problems and MicroARC, which is an interactive skill assessment platform which helps you to test your skills. 

On what basis are the certificates rolled out?

The certificates are rolled out as and when you complete a course. 

Is it 100% online learning or should I come in person for any specific course?

It is a 100% online learning course package and there won’t be any necessity for you to be present in person. 

AI Essential Bundle

Upskill to Accelerate in 2022!

Upskill to Accelerate in 2022!

Amp Up your Artificial Intelligence Skills for futuristic 2022.

Language: English

Buy this Course Bundle  @

Buy this Course Bundle @

Price: ₹2022 Only

Flat 67% OFF!

Price: ₹2022 only

Flat 67% OFF

*Limited time offer

Please wait