Book Online Tickets for CellStrat Prime AI Course (Self Paced), New Delhi. PROGRAM DESCRIPTION
This 12 weeks/ 100 Hrs. online video based ML/DL program (with coding assignments and projects) will help you master the concepts of Machine Learning and Deep Learning.
 
JOIN THE COURSE ANYTIME and COMPLETE THE COURSE AT YOU

CellStrat Prime AI Course (Self Paced)

 

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About The Event

PROGRAM DESCRIPTION

This 12 weeks/ 100 Hrs. online video based ML/DL program (with coding assignments and projects) will help you master the concepts of Machine Learning and Deep Learning.

 

JOIN THE COURSE ANYTIME and COMPLETE THE COURSE AT YOUR OWN PACE.

 

DURATION: 12 Weeks/ 100 Hours

Self-paced program :-

  • 3 videos of 2.5 hrs. each provided per week along with tutorials and exercises. Candidates review the videos (self paced) for theory and code demos.
  • The candidate will be provided coding assignments and solution key every week.

Total course duration :- 100 hours (60 hours instructor-videos + 40 hours of self-practice on coding tutorials)

 

PREREQUISITES

  • Candidate must have some programming knowledge/experience in any language
  • Maths / Statistics background expected until Senior School at least

 

BENEFITS

1) Self-paced online video based coaching.

JOIN THE COURSE ANYTIME and COMPLETE THE COURSE AT YOUR OWN PACE. You can take upto 3 MONTHS to finish this course.

2) Prepare for lucrative career in Artificial Intelligence and Machine Learning, the hottest career option of this decade.

3) Join the CellStrat’s Disrupt4.0 community, and get connected to the global AI community.

4) Includes Membership to CellStrat Prime - CellStrat's Premium Webinar Channel for AI and ML content

5) This Course Content is produced by CellStrat AI Lab and their world-class AI Researchers - one of the world's most advanced AI research groups in the world working on the cutting-edge of Computer Vision, NLP and Predictive Analytics.

 

Mode of training : Self-paced video based training with online videos on Machine Learning modules.

 

TARGET AUDIENCE

  • Professionals who want to work in Artificial Intelligence or Machine Learning
  • IT professionals looking for a career switch into the field of Artificial Intelligence
  • Graduates looking to build a career in Machine Learning
  • Students who wish to learn Machine Learning
  • Experienced professionals who would like to harness artificial intelligence and machine learning in their fields to drive business growth

 

TOPICS COVERED

MACHINE LEARNING 

  • Introduction to Artificial Intelligence and Machine Learning
  • Maths Review
  • Types of learning
    • Lab demo : Predict house purchases
  • Data Preparation
    • Lab demo : Demonstrate data cleaning and data sufficiency
  • Dimensionality ReductionBayesian Learning
    • Lab demo : Convert a 3D dataset into 2D
  • Regression
    • Lab demo : Predict insurance premiums, Demo DT regression
  • Classification
    • Lab demo : Predict lifestyle disease
  • Decision Trees
    • Lab demo : Classify plant species
  • Forms of Unsupervised Learning
    • Lab demo : Create clusters using k-means
  • Capstone Projects
    • Check creditworthiness of bank customers
    • Predict house prices using various ML techniques

 

DEEP LEARNING

  • Introduction to Deep Learning
  • Introduction to TensorFlow
    • Code demo : TF Computation Graph, Model Save/Restore, TensorBoard
  • Perceptrons
    • Code demo : Classify IRIS flower dataset
  • How to train Artificial Neural Networks (ANN)
    • Code demo : Predict diabetes occurence
  • Multi-layer ANNs
    • Code demo : Check Credit Profile of Banking customers
    • Code demo : MNIST Classifier with Keras and TF.Layers
    • Code demo : Demonstrate various activation functions
  • Gradient Descent and Backpropagation
    • Code demo : Demonstrate gradient descent learning
  • Optimization and Regularization
    • Code demo : Demonstrate NN optimization techniques
    • Code demo : Demonstrate l1 / l2 regularizer, dropout
  • Convolutional Neural Networks (CNNs)
    • Code demo : Train a classifier to detect house vs boat images
  • Recurrent Neural Networks (RNNs)
    • Code demo : Detect sentiment in news articles
  • Capstone Projects
    • Predict sale of a banking deposit product using DNN
    • Train a model to detect Phishing URLs
    • Image Classification on CIFAR dataset

 

INCLUDES

  • Prior recorded videos (concept lectures+code demos) by data scientist
  • Programming demos
  • Hands-on programming assignments
  • Capstone Project
  • Quizzes and Assessment
  • "Certificate of Attendance" once Capstone Projects are completed and Online Quiz score of minimum 80% is achieved
  • Includes membership to CellStrat Prime for 3 months - a premium webinar channel for AI ML content.
  • Content produced by "CellStrat AI Lab" - one of the world's most advanced AI research groups in the world working on the cutting-edge of Computer Vision, NLP and Predictive Analytics.

 

REQUIRED

– Candidate must have a personal desktop or laptop with minimum Intel i5 processor or above (preferred Intel i7) or equivalent AMD processor with minimum 4 GB RAM.

Note :- Instructions on how to install Python and other relevant libraries on your laptop / desktop will be provided at the start of training.

 

COURSE CONTACT

Vivek Singhal (AI Data Scientist, CellStrat)

LinkedIn : https://www.linkedin.com/in/viveksinghal1


Still in dilemma, would you like to get a preview of our earlier sessions? if yes, then visit CellStrat Youtube Channel 

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