Machine Learning & AI Hybrid Program

ML and AI are transforming industries because of their ability to perform roles that traditionally required human intervention. These are not just limited to repetitive low-skill jobs but also extend to knowledge industries.

 

Course Location:

  • 18
  • 40 Hours
  • Certification
Available on: Classroom + Online
  • 50+ Batches conducted in Dubai, Riyadh, Jeddah, Dammam, Singapore & India
  • 1000+ Data Science participants from multinational companies across the world
  • 29% CAGR of Data science & Analytics professional services in the Middle East and the Asia Pacific by 2020
Getting Started

With Machine Learning & AI

  • Live Online
Machine-Learning-And-AI-Hybrid-Programme
  • $499
  • $549
  • 9% OFF
18
  • 40 Hours
  • Certification
The global Machine Learning industry, growing at a CAGR of 42% and is estimated to be worth almost $9 billion by the end of 2022.
McKinsey & Company has predicted that by 2030, 70% of businesses will use AI.

Key Highlights

  • Learning with real-world business problems
  • A thoughtful mix of self-paced and live online sessions
  • One-to-one mentorship from industry experts
  • Leverage our community of AI enthusiasts and experts to solve your business problems

Enter your details

What will you get

  • 22 hours of self-paced video-based learning
  • 12 hours live online sessions over 3 months
  • 6-month access to Learning Environment for Analytics Professional (LEAP)

What will you learn

  • Basics of Python & Python for Machine Learning & AI
  • Predictive Modeling: ANN, NLP, & Computer Vision
  • Machine Learning Algorithms like kNN, SVM, & Decision Trees & Random Forest

What skills you will build

Statistics Data preparation Data Visualization Regression Techniques Python programming Data exploration Forecasting
  • Introduction to Python: This module gives a gentle introduction to Python. It also introduces basic features of Anaconda and helps with installation
  • Data types: This module covers the most common built-in data types e.g. dictionaries, lists, etc
  • Variables: This module introduces variables and how to handle them in Python
  • Conditional Statements: In order to write useful programs, we almost always need the ability to check conditions and change the behavior of the program accordingly. Conditional statements give us this ability This module introduces conditional statements like if-else
  • Loops: Introduction to loops, different types of loops, and how to iterate over values in loops — all these topics are covered in this module
  • Functions: This module will enable students to automate a sequence of steps using functions
  • An object-oriented state of mind: This module introduces the fundamentals of object-oriented programming (OOP) in Python and how to work with classes, objects, etc.
  • Our first series of the program: This is an interesting module as it gets the learner started to code on how to download a webpage and how to handle the errors that occur while executing a program.
  • Files: This module will enable students to handle different types of files like CSV etc. using Python.
  • Database: This module starts with an interesting example of implementing a Bank ATM through code then walks through the database management system and how you can put it to use.
  • Introduction to Python Libraries: This module will enable the student to perform data analysis in python by taking them through the most important libraries like Pandas and NumPy
  •  
  • This module takes the learner through the overview of Machine Learning program and provides a brief introduction to the course.
  • Classification Problems: The different algorithms that can be used for classification problems are being covered in this module, for e.g. Naive Bayes, KNN, SVM, ANN, etc. It covers a case study of survival prediction in titanic case study covering different algorithms for classification problems.
  • Clustering: The module describes clustering and its methods. But it mainly focuses on k-Means clustering and walks through a data clustering algorithm-DBSCAN.
  • Association Rule Mining: This module gives an introduction of Association Rule learning and how it is being used in many industries especially e-commerce.
  • Dimensionality Reduction: Machine learning problems often involve tens of thousands of features, this makes the computation really slow. This module will introduce the dimensionality reduction technique that will enable students to overcome the above-mentioned problem.
  • Regression as a form of supervised learning: The module walks the learner through an example of demand forecasting through linear and logistic regression. Also, it explains the tradeoff that a learner needs to keep in mind while training the dataset in supervised learning. It also covers an interesting Melbourne pricing case study.
  • Decision Trees: This module explains the decision tree using a case study on Titanic.
  • Random Forests: The module explains random forests. How they are different from Decision Trees? Describing Bagging and Bootstrap sampling and cross-validating random forest and decision trees in the Titanic case study.
  • Problems of overfitting: This module covers the problems of overfitting and techniques for resolution.
  • Natural Language Processing: This module will make use of our basic Machine Learning knowledge put to use. It will explain Natural Language Process starting with a rule-based approach.  It will also cover the case study of auto summarization text using Natural Language Toolkit, web scraping news article through different algorithms.
  • Sentiment Analysis: The module explains what is Sentiment Analysis and why it is important. You will learn about the different approaches to Sentiment Analysis and define sentiment lexicons to develop features to use.
  • Recommendation Systems: While you surf Netflix or you are shopping on Amazon, you must have noticed an amazing feature showing you some recommended picks which may turn out to be of your use. Now how do they know what to recommend to whom? This is called as Recommendation Systems. This module will cover the challenges and intricacies behind these systems and implement a movie recommendation system case study.
  • Recommendation Techniques: Collaborative Filtering, Content-Based Filtering, Latent Factor Collaborative Filtering.

Deep Learning and Computer Vision: This module provides a brief overview of some of the most significant deep learning techniques used in computer vision problem such as handwriting recognition, face detection, etc. It also covers a case study of handwritten digit recognition from the MNIST database.

 

  • A Case Study to implement a Bank ATM
  • A Case Study on Survival Prediction
  • A Case Study for Auto summarization of Text
  • A Case Study to build Movie Recommendation System
  • A Case Study for Spam Detection
  • A Case Study to build Hand-Digit Recognition System
  • A Case Study for Twitter Sentiment Analysis
  • A Case Study to build Melbourne House Pricing Prediction System
  • A Case Study to build a Database of Stock Movement
  • Students who are looking to jumpstart a promising career
  • Professionals who are looking for a career in analytics
  • Company owners who are looking to improve business with analytics
  • Enthusiasts with a genuine interest in analytics and a desire to level up your knowledge

The participant should know at least the basics of computer programming. The participant should be familiar with statistical and algorithmic aspects.

    • Register for the program
    • Login to Learning Management System and access the course
    • Complete the self-paced sessions
    • Attend live online sessions on the scheduled dates
    • Work on the Case Studies
    • Get the Program Completion Certificate
  • Students who are looking to jumpstart a promising career
  • Professionals who are looking for a career in analytics
  • Company owners who are looking to improve business with analytics
  • Enthusiasts with a genuine interest in analytics and a desire to level up your knowledge
  • The most unsupervised algorithms from Bagging, Boosting and Random Forest along with regression to KNN and decision tree techniques.
  • Efficient use of Panda and NumPy for process the input data into the user data. You can accomplish the data mining tasks, etc.
  • Building Neural Networks to represent the most advanced reinforcement learning.
  • Tactfully using the technology to get accurate result on building the UI of an application using for data visualization and other big data models and a lot more.

 

Yes, you will be eligible to get the Program Completion Certificate once you complete all the sessions (self-paced and live-online both).

 

If you miss any session, you can attend the missed session next batch (all the live online sessions are repeated every month).

 

All the instructors at Clevered are industry practitioners from with a minimum of 10-12 years of rich experience along with an extensive training experience across multiple geographies.

 

  • Crisp Curriculum: Curriculum which involves both a theoretical and practical approach.
  • Expert Mentorship: Learn under the supervision of experts about implementing your intelligence in the most tactful way. 
  • 24x7 Access to Modules: Access the Learning Management System anytime and anywhere.
  • Doubt Clearing Sessions: Get your queries resolved during dedicated doubt clearing sessions
  • Hands-on Sessions: A chance to apply the techniques learned during the session through practice sets. 

Call us at +91-8588863954 or send an email to info@clevered.com. We will be glad to assist you.

Course Advisor

14+ years of experience in building analytical solutions & digital strategy for large organizations. Rich experience in conducting analytics training for over 5000 hours in the last 3 years. Conducted classroom training and online training in India & abroad. Tie-ups with several organizations & institutions for analytics training. He has helped over 30 global organizations transform their business using customer, marketing, workforce & operational analytics across retail, banks, NGOs, DTH, Telecom & CPG. He has been instrumental in managing & growing multi-million dollars analytics projects in retail, HR, marketing & customer loyalty.

Expertise

Leadership Data Science Machine Learning
None

Jaydeep Chakraborty

Certificates

Post the successful completion of the program, you become eligible for two certificates from Clevered:

You will receive the Program Completion Certification post successful completion of all of the self-paced and live online sessions.

Machine-Learning-And-AI-Hybrid-Programme-Certificate

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Success Stories

Data Science Enlightenment! It was a 3 days boot camp session which made data science to make real business sense. Well organized with preparation material and strong study after program. Jaydeep delivers a unique learning experience, making attendees to forget breaks. Amazing presentation of a scientific subject not only for professionals, but for students as well.

GEORGIOS KARAKYRIAKOS

SENIOR MANAGER B2B CREDIT
Qatar
GEORGIOSKARAKYRIAKOS

The training was really good, the instructor took a lot of interest in delivering training with passion and was interested in making us learn which is rare. He made training sessions very interactive so that we could ask questions and clear our doubts completely. Nevertheless, attending this training proves to be the done thing from a career perspective. It gives an exquisite turn to my career. Thanks a lot!

Aarushi Nudurupati

Data Analyst at KPMG
Dubai
aayushi

The trainer elaborated every essential topic of Data Science with R and offered mentorship for industry based projects which are now helping me in handling projects in my organization. I am really happy to explore the statistics in Data Science with R and learned to implement the skill tactfully at the workplace.

Gigi Babu

Senior Integration & Digital Specialist at Mashreq Bank
Dubai
ss-gigi-babu

I wanted to utilize agile methods in all of my internal work, sought the opportunity to align practical knowledge with industry knowledge to enable my role and learn from expert information. Program offered by Clevered was instrumental in helping me do the same. The content and application to access the course material were fantastic! The present format was clear and simple to follow along with time to go back and dig deeper into content.

Robert Bullock

Delivery Head for IT Services at Standard Chartered Bank
Singapore
RobertBullock

The Data Science course is taught with extraordinary passion. The course is very informative and provides you all the knowledge needed to get started with Data Science and R. Moreover, the limelight of the training is project based practice sets which give a live experience of dealing with real-time situations. This training proves to be a milestone in anyone’s career! Superb Job!

Mohammad Riyaz Ahsan

Solution Delivery Manager at Emirates Airline
Dubai
Muhhad_Riyaz

I attended Data science Bootcamp in Qatar. Thanks to this course, I learned the fundamentals of Data science and R programming language. The course is rich in content, and Jaydeep delivery makes it fun and easy to understand. Most importantly, this course opened my appetite to dig in more and expand my knowledge in this promising and growing field.

Mohamed Amine Essoufi

Market research Consultant at Nielsen Consultancy
Qatar
MohamedAmineEssoufi

Success Stories

  • GEORGIOSKARAKYRIAKOS

    Data Science Enlightenment! It was a 3 days boot camp session which made data science to make real business sense. Well organized with preparation material and strong study after program. Jaydeep delivers a unique learning experience, making attendees to forget breaks. Amazing presentation of a scientific subject not only for professionals, but for students as well.

    GEORGIOS KARAKYRIAKOS

    SENIOR MANAGER B2B CREDIT
    Qatar
  • Aarushi nadurpati

    The training was really good, the instructor took a lot of interest in delivering training with passion and was interested in making us learn which is rare. He made training sessions very interactive so that we could ask questions and clear our doubts completely. Nevertheless, attending this training proves to be the done thing from a career perspective. It gives an exquisite turn to my career. Thanks a lot!

    Aarushi Nudurupati

    Data Analyst at KPMG
    Dubai