Advance Data Science - Course Curriculum

  1. What is Artificial Intelligence, Machine Learning and Data Science
  2. Why is it era of Artificial Intelligence
  3. Business intelligence v/s Data Science
  4. Introduction to Python programming language
  5. Introduction to Machine learning
  1. Statistics
  2. Probability
  3. Linear Algebra
  4. Calculus
  1. Basics
  2. Control Flow and Iterations
  3. In-built Data Structures
  4. Functions
  5. Exception handling
  6. File handling
  7. Classes in Python
  8. Numpy
  9. Matplotlib
  10. Pandas
  1. Introduction
  2. Types of data and extraction
  3. Raw & Processed data
  4. ED Analysis
  5. Types of Machine learning :-
    1. Supervised
      1. Regression
      2. Classification
    2. Unsupervised
      1. Clustering
    3. Linear Regression
    4. Cost Function and Optimization(Gradient Descent)
    5. Logistic Regression
    6. KNN
    7. Decision Trees
    8. Model Selection
      1. Over Fitting & Under Fitting
      2. Regularization: Ridge and Lasso
      3. Feature Engineering
      4. Cross Validation
      5. Normalization & Standardization
      6. Hyper Parameter Tuning
      7. Accuracy Metrics ( Confusion matrix, F1 score, ..)
    9. Support Vector Machine (SVM)
    10. Gradient Boosting
    11. Extreme Gradient Boosting & XG boost
  1. Introduction
  2. Artificial Neural Networks
  3. Introduction to KERAS
  4. MNIST Dataset
  5. Convolution Neural Networks(CNN)
  6. Introduction to Tensorflow & Pytorch
  7. RNN (Recurrent Neural Networks) and LSTMs
  1. OpenCV
  2. Convolution Operation and Feature Extraction
  3. Pooling and types of pooling
  4. Feature Visualization and CNN layers
  5. CNN architecture (AlexNet, Inception, ResNet, LeNet)
  6. YOLO Object Detection
  7. Image captioning using CNN & RNN
  8. Motion
  9. Robot Localization
  10. State Transformation
  11. Vehicle Motion
  12. Autoencoders
  13. GAN (Generative Adversarial Network)
  14. Project – Custom Object Detection model

Projects

Smart doorbell camera

Face recognition model for both still images and video streams is built using python, OpenCV and deep learning model. This model helps to detect the facial pattern and to identify that person based on the model trained. This can be deployed on Jetson board to build a smart doorbell camera system.

Speech Recognition

Speech recognition model is used to recognize the speech and convert it to desired form. The speech is recognized and is converted to digital form which can be used as input to build a model. Speech to speech, speech to text models are developed using CNN algorithm, python as tool. The applications of speech recognition are Apple Siri, Amazon’s Alexa, Google translator, etc.

Object Detection

Object detection is an emerging technology where instances of various objects are detected, to build this model, computer vision and image processing concepts are used. Object detection is proving to be revolutionary in the development of Self driving cars. The picture classification can also be done using this model.

OTHER DOMAIN PROJECTS

HEALTH CARE

E-COMMERCE

TELECOM

FINANCE

AUTOMOBILE

MANAGEMENT

WHAT'S UNIQUE

PRESENTATIONS

Netzwerk academy focuses on preparing students not only in the subject but in their skill development also. Any topic which is covered on a particular day, the student has to explain it to their group mates. Doing so the concepts will be cleared and slowly they will overcome the fear of speaking and will be eventually trained for interviews.

ASSIGNMENTS

Every student gets a fixed number of assignments which are spread evenly in all topics. By completing the assignments they gain an in-depth knowledge of the subjects and side by side there Github library gets built. Every time they give an interview, the very next thing after their resume is the Github link to their library.

PRACTICAL

We at Netzwerk Academy focus on the practical knowledge more than theoretical knowledge. Netzwerk Academy is the only institute in India which provides Practical Implementation at offline workshops. Whatever the students learn during the sessions, they get a chance to apply that knowledge at out Artificial Intelligence Labs.

CERTIFICATION

100% placement guarantee from Netzwerk Academy
There are specific milestones to complete for availing this. After completing them students get assessed by the trainers. The last mock interview will be held by companies itself.
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MENTORS

Abhishek Taneja

Mathematics
Psychological Sessions

Vinay Kalmodkar

Core Python
Machine Learning
Technical Aspects

Prashantkumar Kulkarni

Deep Learning
Machine Learning
Applications of Deep Learning

Dr. Nileshchandre K Pikle

Machine Learning

COMPANIES WORKING ON AI

CERTIFICATION​

PLACEMENT ASSISTANCE

  • 100% placement on completion of certification
  • Campus placement assistance in offline workshop
  • Dedicated team will be providing job application links in your Talent pool portal.
  • Employment portal optimization will be taught to fetch you the interviews

FEES

Advance Data Science – Rs.42160+GST

  • Pay 15% registration fees, in the beginning
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