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Advanced Certification in AI+ML

Know more about this course

Contact Number: +91 9910043510  Email Address: prutor.ai@gmail.com

About

Machine Learning (ML) and Artificial Intelligence (AI) are transforming the workplace. It refers to the process of developing self-learning algorithms by way of simple data input. The goal of machine learning is to increase accuracy. It does this by optimizing the execution of a job from knowledge gained by operating through linked datasets. Any addition to the accuracy of a particular use offers up a world of advantages, especially with industry.

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Why Join Our AI + ML Course

AI + ML - LEARNING PATH

Live Classes Over Zoom

Learn from the best faculty around the world without moving from home!

Test & Evaluation

  • During the program, the participants will have to take all the assignments given to them for better learning.
  • At the end of the program, a final assessment will be conducted.

Certification

  • All successful participants will be provided with a certificate of completion.
  • Students who do not complete the course / leave it midway will not be awarded any certificate.

Target Audience

  • Anyone looking to start a pick up highly paid freelancing skills
  • Website owners who are struggling to get traffic and sales
  • Pre-launch business owners who don't know where to get started

Rs. 45,000 + 18% GST Rs. 75,000 + 18% GST

The offer is valid for only a few days!

Enroll and Pay Now

Pre-recorded Lectures

Get complete flexibility in learning

Test & Evaluation

  • During the program, the participants will have to take all the assignments given to them for better learning.
  • At the end of the program, a final assessment will be conducted.

Certification

  • All successful participants will be provided with a certificate of completion.
  • Students who do not complete the course / leave it midway will not be awarded any certificate.

Target Audience

  • Anyone looking to start a pick up highly paid freelancing skills
  • Website owners who are struggling to get traffic and sales
  • Pre-launch business owners who don't know where to get started

Rs. 30,000 + 18% GST Rs. 56,000 + 18% GST

The offer is valid for only a few days!

Enroll and Pay Now
  • This field is for validation purposes and should be left unchanged.

Course Curriculum

  • Welcome to Machine Learning
    • Introduction To Machine Learning
    • History and Evolution
    • Artificial Intelligence Evolution
    • Find out where Machine Learning is applied in Technology and Science.
  • Different Forms of Machine Learning
    • Statistics, Data Mining, Data Analytics, Data Science
  • Machine Learning Categories
    • Supervised Learning
    • Unsupervised Learning
    • Reinforcement Learning
  • Machine Learning Python Packages
    • Data Analysis Packages
    • NumPy
    • SciPy
    • Matplotlib
    • Pandas
    • Slkearn
  • Supervised Learning
    • Regression
    • Classification
    • Generalization, Overfitting, and Underfitting
  • Classification
    • Classification
  • Regression
    • Understand how continuous supervised learning is different from discrete learning.
    • Code a Linear Regression in Python with scikit-learn.
    • Understand different error metrics such as SSE, and R Squared in the context of Linear Regressions.
  • Supervised Machine Learning Algorithms
    • k-Nearest Neighbor
    • Linear models
    • Naive Bayes Classifiers
    • Decision trees
    • Support Vector Machines
  • Unsupervised Learning and Preprocessing
    • Challenges in unsupervised learning
    • Preprocessing and Scaling
    • Applying data transformations
    • Scaling training and test data the same way
  • Dimensionality Reduction, Feature Extraction, and Manifold Learning
    • Principal Component Analysis (PCA)
  • Introduction to Deep Learning
    • A revolution in Artificial Intelligence
    • Limitations of Machine Learning
    • What is Deep Learning?
    • Advantage of Deep Learning over Machine learning
  • Introduction To Neural Networks with TensorFlow
    • How Deep Learning Works?
    • Activation Functions
    • Training a Perceptron
    • TensorFlow code-basics
    • Tensorflow data types
    • CPU vs GPU vs TPU
    • Tensorflow methods
    • Introduction to Neural Networks
    • Neural Network Architecture
    • Linear Regression example revisited
    • The Neuron
    • Neural Network Layers
    • The MNIST Dataset
    • Coding MNIST NN
  • Deep dive into Neural Networks with TensorFlow
    • Understand the limitations of a Single Perceptron
    • Deepening the network
    • Images and Pixels
    • How humans recognize images
    • Convolutional Neural Networks
    • ConvNet Architecture
    • Overfitting and Regularization
    • Max Pooling and ReLU activations
    • Dropout
    • Strides and Zero Padding
    • Coding Deep ConvNets demo
    • Debugging Neural Networks
    • Visualizing NN using Tensorflow
    • Tensorboard
  • Convolutional Neural Networks (CNN)
    • Introduction to CNNs
    • CNNs Application
    • The architecture of a CNN
  • Keras API
    • How to compose Models in Keras
    • Sequential Composition
    • Functional Composition
    • Predefined Neural Network Layers

After Completing this Course Projects You can Build

Predictive modelling on credit card fraud detection by logistic regression

Predictive modelling on credit card fraud detection by logistic regression

Build and train a model that can classify an input data as a temperature change or not

Build and train a model that can classify an input data as a temperature change or not

Build and train a model to predict rating on Netflix dataset

Build and train a model to predict rating on Netflix dataset

Predict a company will be bankrupt or not

Predict a company will be bankrupt or not

Predict to which subreddit each post belong

Predict to which subreddit each post belong

Technologies Covered

Skills Covered

Placement Assistance Process

01

Resume design, content and correction post certification.

02

Multiple job opportunities sent on email

03

CVs sent to chosen company and shortlisting done

04

Test/Interviews Scheduled

Career Transition Stories

Sample Certificate

Know more about this course

Contact Number: +91 9910043510  Email Address: prutor.ai@gmail.com