Machine Learning & AI

Description

AI is a technique, code or algorithm that enables machines to develop, demonstrate and mimic human cognitive behavior or intelligence and hence the name “Artificial Intelligence”. Some of the most successful applications of AI around us can be seen in Robotics, Computer Vision, Virtual Reality, Speech Recognition, Automation, Gaming, and so on…
Artificial Intelligence is constantly pushing the boundaries of what machines are capable of. The main purpose of training real-time smart machines is to use their speed and capability. Most importantly machines can think and perform tasks like humans. Through this course, students will be able to design and develop an advanced AI System.

What you will learn?

Artificial Intelligence
Machine/Deep Learning
Python Programming
NumPy, Pandas, Matplotlib, Seaborn
Computer Vision
Natural Language Processing
Scikit-learn, Keras, Tensorflow, PyTorch

₹ 12,500/-

with 18% GST

₹ 14,750/-

Course Insights

Course Content

Beginner (Week 1-2)
Intermediate (Week 3-4)
Advanced (Week 5-6)

Introduction (2.5 Hours)

Introduction with AI & Machine Learning
Data Science vs Data Engineering vs Data Analysis vs AI
Use of Data in the world of AI
Connecting with Upflairs Community
Basic Linux/Windows Commands
Setting Up GITHUB & Google Colab/Kaggle

Python Overview (5+2.5 Hours)

Command Line & Script based Python Programming
Python Quicker: Keywords, Data Types, Operators
Conditional/Looping/Error Handling in Python
Comprehensions
Python User Defined Functions
Python Generators
Lambda Expressions
Python Modules: Usage and Installation
Understanding the OOP of Python
GUI Development with Python

Data in Python (1 Hour)

Types of DATA?
Numpy Arrays: Creating, Accessing, Manipulating
Array Attributes; Data Operations
The file handling in python
Dealing with Excel/Json/CSV/txt files
Exercise

Image Processing (4 Hours)

About Digital Images & Processing
Concept of Computer Vision in AI
Working on Digital Images (skimage, opencv, pillow, imutils)
Use of Matplotlib library for Images & Graphs
Changing Color-spaces, Geometric Transformations
Image Thresholding, Filtering, Morphology

Computer Vision & Image Processing (2.5 Hours)

UnderstanLive Image Capturing
Color Feature Detection in Images
Image Feature Detection, Extraction and Matching

Mini Project (2.5 Hours)

"Moving Object Detector”
“My Selfie Machine”
“Detecting People and Vehicles violating Covid Protocol”

Capstone Project (2.5 Hours)

“Real Time Face Recognition based Music Player”

Natural Language Processing (2.5 Hours)

What is NLP? Linguistic to Natural Language!
NLTK in Python for Text Processing
Text to Speech and Speech to Text Modules in Python
Morphological Analysis; Syntactic Analysis
Generating Word Clouds
SMTP with Python; Reading and Sending Mail from Python

Chatbot (2.5 Hours)

What is Chatbot
How to create query-response pairs
Use of Regular Expressions
Interacting with Web-based Services
API Integration
Introduction with Flask
Deploying AI Applications over Web/Cloud

Capstone Project (2.5 Hours)

“Web Chatbot App”

Pandas (5 Hour)

Pandas: The Series and DataFrame
Creating, Accessing, Manipulating Pandas Data
Series and DataFrame Attributes & Basic Functions
Arithmetic and Statistical Methods; Sort, Search, Count
Data Grouping, Missing Data Handling
Merging & Joining of Data
File Handling with Pandas

Mini project (2.5 Hours)

“Movie Recommendation System”

Data Visualization (2.5 Hours)

Data is Beautiful…!!!
Visualization Libraries in Python
MATPLOTLIB PYPLOT: line, scatter, pie, box, area etc
Decorating the plots using Matplotlib (labels, colors, markers, legend, grids, figure sizes etc)
The Subplots and axes in matplotlib; Showing Images
Pandas Visualization: Basic Plots
bar, barh, hist, box, kde, density, area, scatter, hexbin, pie plots
Plotting with Missing Data
Easy and advanced Data Visualization from Seaborn
Categorical, Distributive, Regression, Matrix, Grid Plots
Exercise

Mini Project (2.5 Hours)

“Descriptive Analytic Model of Treadmill Users”

Introduction with Machine Learning (2.5 Hours)

Understanding the concept of Machine Learning
The Flow of Machine Learning
Types of Learning and their sub-categories
Linear Regression: The Line Equation; Fitting Data in Model
Performance Evaluation of Model
Exercise

Mini Project (1.5 Hours)

“Real-estate Price Predictor Model”

Machine Learning - Regression (2.5 Hours)

Polynomial Regression: The Non-linearity in Data
Performance Evaluation of Regression Model
Exercise

ML - Naive Bayes (0.5 Hours)

The Bayes Theorem
Naïve Bayes Algorithm for Machine Learning

Mini Project (2 Hours)

"Email Spam Detection App"

Web Scrapping (2.5 Hours)

What are web servers and how HTML look-like?
Scrapping Live Website
Exercise

Capstone Project (2.5 Hours)

“Customer Review Segmentation on Flipkart/Amazon”

Supervised ML – Classification (5 Hours)

Logistic Regression: Concept & Need
Performance Evaluation of Classifications Models
Support Vector Machines (SVM)
Kernel Nearest Neighbors (KNN)
The Information Theory
Decision Trees Classifier
Random Forest Classifier
Biases versus variances
Data Overfitting & Underfitting
The Concept of Cross-validation
Exercise

Capstone Project (2.5 Hour)

“Find Potential Client for Yaatra Package”

Data Visualizaion - Plotly (2.5 Hours)

The Real-time challenges of Data Visualization
The Front End of ML - PLOTLY
Plotly Express for Quick and Fiery Interactive Graphs
Scatter, Pie, Line, Bubble, Bar, Error, Box, Histograms
Heatmaps, Distribution Plots, Maps
User Instructiveness with User Controller
Exercise

Unsupervised Machine Learning (2.5 Hours)

K-Means Clustering
Exercise – 12

Artificial Neural Network (2.5 Hour)

Concept of Deep Learning & Neural Network
What is ANN?
The basic terminology – Layers, weights, biases, activation functions, losses, optimizers, learning rate
The Concept of Forward & Backward Propagation
Using Keras Library for ANN
Building and Compiling Sequential Neural Network Model

Mini Project (2.5 Hours)

“Building Churn Prediction System for Customers”
“Handwritten Digits Classification”

Recurrent Neural Network (0.5 Hour)

What is RNN
How RNN is different from ANN
The Concept of Long-Short-Term Memory (LSTM)
LSTM based Neural Networks for Future Prediction!!

Mini Project (1 Hour)

“Stock Market Price Prediction”

Convolutional Neural Network – Keras (1.5 Hour)

The Convolution Theory – Filters, Pools, Averaging etc.
Generating Convolution Neural Network Models
Image Augmentation

Mini Project (1 Hour)

“Cat/Dog Classifier”

Capstone Project (5 Hours)

“Object Recognition System”
“Hand Gesture Recognition System”

AutoML & PyTorch (2.5 Hour)

Introduction with PyTorch
Implementation of AutoML
The Cloud AI Platforms

Capstone Project (2.5 Hour)

“Human Recognition and Analysis Model”

Customized Training

Be it schedule, duration or course material, you can entirely customize the trainings depending on the learning requirements of your workforce.

Expert Mentors

Get trained from our team of highly skilled and certified trainers, who are professionals with relevant experience and adept in providing the knowledge and skills required to be successful

360° Learning Solution

Engage your employees with our all-inclusive learning platform. Avail benefits of professional trainers, assessments & mock tests, real-time learning and more.

Learning Assessment

Get the test score and performance with our skilsl analysis tests. And get an insight of areas of strength and weakness.

Flair Stories

I really enjoyed this workshop. On the very first day of the workshop I had no idea this session was going to be mind blowing. I have learnt so many new things and in this workshop I built my very first robot. I have a lot to say, but I have to condense it here. THIS WAS THE BEST WORKSHOP I'VE EVER BEEN TO.

Vrinda Saraswat Banasthali Vidyapith

A perfect training session in which we get a hands- on experience. The more interesting part was that we have applied our basic theoretical knowledge in real life problems. Overall a wonderful session.

Abhinav kumar Jha Delhi Technological University

Overall it was a great experience, as having knowledge on recent technologies used in industry will make us industry ready for the future. I am very grateful to Upflairs for guiding me so well with technologies. Thank you.

Lalit Agarwal Poornima college of Engineering

The training was outstanding beyond remarks. We never expected to learn this much in just within 3 days. It was really an amazing session. Much motivated now to move on our python journey. Thank You Upflairs for developing within us the enthusiasm to learn more and more.

Damini Srivastava Banasthali Vidyapith

This training proved to be quite useful for me as I gained some practical knowledge about Mechatronics and through this training came to know that many great things can be made by combining Mechanical, Electronics and software components.

Bhavya Joshi Delhi Technological University

It was such a great session. The way of presenting every thought and views of the teacher was great. Thanks for such an amazing session.

Satyam Raj NIT Mizoram

We were in a spy Botix workshop and that was very good. That was my first workshop in this field and was outstanding. We enjoyed it a lot. All the staff was very cooperative and we learned many new things from that. Hope to see you again with such amazing workshops. Thanks a lot Upflairs. 😊

Anjali Banasthali Vidyapith

It was really great . This workshop made me believe that I can do anything , basically it made me aware of my capabilities. Thank you so much Upflairs.

Mansi Sharma Banasthali Vidyapith

We attended the workshop on embedded systems, which was super knowledgeable and also exciting. We got to know about sensors and microcontrollers and their practical applications along with their working. This workshop was specifically very beneficial for my third year final btech project.

Poulomi Parua Banasthali Vidyapith

Well for the session I attended, it was just amazing. I learned a lot and I'm hopefully expecting more to explore in the same domain. I would like to thank the entire team of Upflairs for being just simply outstanding and supportive. Looking forward to more opportunities. A big THANK YOU to all. It was really one of the finest workshops I ever attended.

Vaani Gupta Banasthali Vidyapith

Machine Learning & AI

Description

What you will learn?

Course Insights

Course Content

Customized Training

Expert Mentors

360° Learning Solution

Learning Assessment

Flair Stories

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