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Advanced Machine Learning

Live Training Led by Tech Masters!

Specialize in Deep Learning & Break into AI!

During this Interactive Live training on Advanced Machine Learning you will learn to make Algorithms in Python from our Machine Learning & Data Science experts who are highly sought after skills in tech and gets the  hands-on experience which will prepare and equip you with the in-demand skills required to become a successful AI practitioner.

You will be practicing all the applications on Python, TensorFlow & the tools which our experts will be teaching you. After finishing this specialization, you will likely find creative ways to apply it to your work & add the certification to your professional portfolio to attract future employers.


What will you learn?


You’ll understand how to build neural networks

You’ll learn how to lead machine learning projects.

  You’ll implement deep neural network for the task of image captioning.

You’ll build, train, and deploy different types of deep learning architectures.

You’ll understand the algorithms in detail.

You’ll also use Keras, Python, TensorFlow, Jupyter  & Anaconda to  develop, train,       load and test the Deep Learning models.

You’ll develop intuition about the logics making all the magic happen.



Python, Machine Learning,  Tensorflow,  Convolutional Neural Network,  Artificial Neural Network,  Python Programming, Sentiment Analysis, Computer Vision! 
View Course Outline

Our Approach for Live Classes

After establishing a reputable Physical Training Model, based on our stellar records and customer earned trust we gradually progressed to establish the same reputation in the Live Training Model. We are committed to empower you by making our trainings accessible, interactive, and well curated specifically to your objective.




20th February 2021


8 Weeks


11:00 AM – 3:30 PM




Meet the trainer of this course who is Deep Learning expert!


Mr. Albab Ahmad Khan

Deep Learning Engineer | Data Scientist

Mr. Albab has been working as Data Scientist for Telecom Sector, Government Organizations and Research Labs. He is the author of various International Conference Publications as well as Journal Publications in Data Science, Machine Learning and Biomedical Image Processing. His key expertise are in domains of Machine Learning, Deep Learning, Data Mining, Data Driven Marketing and Data Prediction.

Tools & Libraries 

Course Outline

Below is the detailed outline with weekly themes

Week 0: Foundation Week (For Non-Pythonians)

Interactive Discussions on Assignment
Types of Variables
Data Visualizations (Scatter plot, Histogram, Bar plots, Line plots, Heat maps)
Data Centricity (Mean, Modes, Median, STD, Variance, Interquantile Range).
Data Transformation (Log, Natural Log, Min Max )
Data Cleaning in Python
Visualization on Matplotlib
 Basics of Data Science Flow
Anaconda Installation
Intro to Jupyter Notebook
Intro to Python
Python Objects & Data Structure
Subsetting (Strings, Lists, Dictionaries)
Python Comparison Operators
Python Statements
Methods & Functions
Importing Data in Python
Pandas Basics in Python
Subsetting Dataframes in Pandas
Data Aggregation using Group By, Pivot, and Melt
Hands-On Assignment of Python

Week 1: Deep Learning Flow and Python

Introduction to Deep Learning
Applications of Deep Learning in Industry
Python for Deep Learning
Numpy for Deep Learning

Week 2: Credit Scoring

Basic Neural Network
Tensorflow Tutorial
Optimization with Gradient Descent
Forward & Backward Propagation
Shallow Neural Networks
Deep Neural Networks
Neural Networks Mathematics
Hyper parameter Tuning – part 1
Credit Scoring with Deep Learning

Week 3: Image Classification Multi Class

Activation Functions
Loss Functions
Bias & Variance
Image Classification with Deep Learning
Hyperparameter Tuning – part 2
Regularization (L1, L2, Dropout)
Optimization Algorithms
Batch Normalization
Deep Learning Strategy for Practical Problems
Error Analysis

Week 4: Computer Vision

Keras Tutorial
Convolution Operation
Convolutional Neural Networks & Implementation
AlexNet, Inception, VGG and CNN architectures
Transfer Learning

Week 5: Object Detection

Object Localization
Landmark Detection
Object Detection
Anchor Boxes & YOLO Algorithm
Gestures/Emotions classification with Landmarks

Week 6: Face Recognition

One Shot Learning
Detection & Recognition
Triplet Loss
Siamese Networks
Face Recognition

Week 7: Disease Prediction from ECG using RNNs & NLP

Sequenced/Temporal Data
Recurrent Neural Networks
Long Short Term Memory (LSTM)
Disease Prediction using ECG
Sentiment Classification

Week 8: Face Generation with Generative Adversarial Networks

Generative Adversarial Network
Deep Convolutional GANs
PIX2PIX & Cyclegan
Face Generation


Following is price for this extensive training on Deep Learning



Frequently Asked Questions

Who should attend the course?

Recent graduates, third year and final year students from the computer science disciplines.

Professionals from the computer science domain who want to shift the profession to Deep Learning.

Executives who want to build the initial knowledge about the impact of the Artificial Intelligence on organization growth.

Who are the Instructors?

What is the timing of the course?

Duration: 8 weeks

Class Days: Saturdays & Sundays

Timings: 11:00 AM – 03:00 PM

Can I get a job after this course?

Since our instructors are industry experts so they do train the students about practical world and also recommend the shining students in industry for relevant positions.

Will I get a certificate after this course?

Yes, you will be awarded with a course completion certificate by Dice Analytics. We also keenly conduct an annual convocation for the appreciation and recognition of our students.

How much hands-on will be performed in this course?

Since our courses are led by Industry Experts so it is made sure that content covered in course is designed with hand on knowledge of more than 70-75 % along with supporting theory.

What are the PC requirements?

For Deep Learning  Professional course, you need to have Minimum Core i3 PC, 4th Generation with 4GB RAM – 8GB RAM.

How much internet speed is required?

You will require 3GB internet speed or more for this live training session.

How this course will be helpful for Working Professionals?

This course will equip  working professionals with the best practices and actionable knowledge needed to put you and your organization at the forefront of the AI revolution and Deep Learning!

How this course will be helpful for students?

This hands-on program will prepare and equip students with the in-demand skills required to become a successful AI practitioner and start a career in the growing and lucrative field of deep learning.

Reserve your Seat

You can reserve your seat  by filling the form below!

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