Machine Learning & AI Bootcamp

Advance your career with a certification in Machine Learning, Deep Learning, and Artificial Intelligence. Build the expertise to solve real-world business problems from scratch using Machine Learning and AI techniques with Python.

Course Location:

  • 23 Aug
  • 2 Months
  • Certification
  • Dubai
Available on: Classroom + Online
  • 15+ Batches conducted in Dubai for Data Science and Machine Learning.
  • 200+ Participants trained from multi-national companies across the world
  • $13T The potential reach of the AI market by 2030
Getting Started

With Machine Learning & AI

  • Classroom + Online
Machine-Learning-And-AI-Bootcamp
23 Aug
  • 2 Months
  • 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

  • Mix of in-person and live online sessions supported by self-paced content
  • 2 months of Post-Bootcamp Program with live online sessions
  • One-to-one mentorship from industry experts
  • Become a part of our Machine Learning & AI community
  • Hands-on training with 3 real-life case studies with 3 Capstone projects

Enter your details

What will you get

  • 30 Hours of Bootcamp (classroom training) in your city
  • 2 live online sessions for Q&A, case studies, assignments and capstone projects
  • One-to-one session on mentorship and career design with industry experts

What will you learn

  • Basics of Python for Machine Learning & AI
  • AI techniques like Artificial Neural Networks, Natural Language Processing, and Computer Vision
  • Machine Learning Algorithms like kNN, Support Vector Machines, Decision Trees & Random Forest

What skills you will build

Data exploration Python programming Forecasting Data Visualization Classification Regression Machine Learning Artificial Intelligence
  • What is Machine Learning?
  • Machine Learning in action
  • Applications and industry case studies
  • Understanding of statistical and Machine Learning techniques
  • Comparison of popular Machine Learning tools
  • A glimpse on career opportunities
  • Fundamentals: Python overview. Installation. Packages and walkthrough. Operators, Data Types, Conditional Statements.
  • Control Flow Basics: For loops. While loops. Nested loops. The disadvantage of loops. Alternatives to loops.
  • Functions: Understand the structure of functions. Build your own function. Usage of parameters and default values. Anonymous functions.
  • NumPy: Scientific computing with Python. Importance of NumPy. Array Creation. Data Types. Unitary Operations. Shape Manipulation. Reshape, Transpose, - Ravel Array Indexing. Boolean Indexing. Broadcasting. Universal Functions. Matrix Multiplication. Statistical Methods. Stacking. Splitting Copies and Views.
  • Pandas: Pandas Data Structures - Series and Data Frame. Basic functions on Data Frame. Indexing and Selecting Data. Group By: Split-Apply-Combine. Handling Missing Data. Merging Multiple Datasets. Data Analysis Scenarios. Data Manipulation / Data Cleaning with different types of data inputs like CSV, JSON, etc.
  • Time series forecasting: Converting Series to Time Series Handling Invalid Data. Epoch/Date-Time Index. Indexing. Time / Date Components. Period and Period Index. Handling Time Zones. Parsing and Manipulating Dates.
  • Regression: Simple Linear Regression. Multiple Regression. Logistic Regression. Naive Bayes, Understanding of kNN concepts.
  • Data Visualization: Matplotlib Package. Simple Plot with X and Y Axis. Line styles and Color. Multiple Lines on Same Plot Controlling Line Properties. Adding Labels, Gridlines, Annotations X and Y Ticks and Rotations. Splines. Legends. Working with Multiple Figures and Axes Share X and Y Axis. Adding Subplots. Creating Different Types of Plots Line Graphs - Bar Plots, Histograms, Box Plot, Stacked Plot, Scatter Plot, Pie Chart.
  • Introduction to Machine Learning: How do machines learn? Choosing a Machine Learning algorithm. Using R for Machine Learning.
  • Decision Trees and Random Forest: Understanding decision trees. Understanding classification rules. Understanding Random Forest. Modeling using Random Forest.
  • Classification using Nearest Neighbours: Understanding classification using nearest neighbors. The kNN algorithm - Calculating distance, Choosing an appropriate k, Preparing data for use with kNN.
  • Neural Networks: Understanding neural networks. Activation functions. Network topology. Training neural networks with backpropagation.
  • Text Mining and Sentiment Analysis: Concepts and components of text mining. Text mining tasks and approaches. Access twitter data. Build a frequent term network. Topic Modeling. Analysis of followers and retweets. Understand sentiment analysis and its key concepts. Sentiment polarity. Opinion summarization. Feature extraction.

Case study on Loan Default

We all know that banks make money by lending. There are cases where the borrower defaults on loan i.e. they do not repay the loan. There is an enormous pressure on banks to recover the dues and bring Non Performing Assets under control. It would be really helpful for the bank if they know up front, who will default on the loan.  

In this case study, you will help CNN Amro, a leading bank in south-east Asia to build a system that can predict loan defaulters in advance.

 

Case Study on customer analytics

In the present era of cut-throat competition, the customer expects personalized services. Also, not all customers are the same, customers can vary basis several parameters like demographics, price sensitivity, etc. These parameters should be considered while designing marketing campaigns.

In this case study, you will help KT insurance to segment customers, who have bought vehicle insurance, basis features like demographics, vehicle details, driving experience, etc. 

 

Sentiment analysis on Twitter

Sentiment analysis helps allows us to gain an overview of the wider public opinion behind certain topics of interest. The applications of sentiment analysis are broad and powerful. The ability to extract insights from Twitter data is a practice that is being widely adopted by companies around the world.

In this case study, you will perform sentiment analysis on live twitter data based on your area of interest

Diagnose breast cancer

Breast cancer is the most commonly occurring cancer in women and the second most common cancer overall. There were over 2 million new cases in 2018.

Humanity internationals, an advanced breast cancer research institute has collected medical records of patients suffering from breast cancer. Using the data it wants to build a breast cancer prediction system that can diagnose breast cancer at an early stage. 

 

Telecom Churn

Churn is a very common problem in the telecom industry. Customers have an option to choose from a variety of plans from multiple Telecommunication service providers (TSP). Any point of time, they believe the other TSP is providing better services and plans than their existing TSP, they prefer to opt for the other TSP.  

In this case study, you will help Botaphone, a leading TSP of United Arab Emirates in designing a churn prediction system that provides lists of potential churners.

Human Face Detector

FCICT bank has several ATMs installed at various location. Currently, it is facing several security issues at many of its locations. To solve the problem, it wants to detect how many individuals are present near the ATM machine. To help FCICT bank, you have to buildp a face detection and counter system that can detect the faces and also can count the number of faces so as to help FCICT to know the number of people near the ATM machine.

In this case study, you will built a face detector and counter system for FCICT  bank

  • Business professionals who want to leverage Machine Learning and AI in their industry/ functional area
  • IT professionals who want to build skills in Machine Learning and AI for career growth
  • Entry-level professionals or students who want to build their career in Data Science, Machine Learning and AI
  • Academicians who want to get started with Machine Learning and AI
  • You should be a graduate or equivalent
  • Basic knowledge of MS Excel
  • Very basic knowledge of computer programming
  • Starter Pack

    Prepare yourself for the classroom sessions with STARTER PACK which includes online videos, exercises, and quizzes.

     

    In-person Training

    Attend 3-day Bootcamp (30 hours) in your city. Learn and apply AI techniques. Learn to build AI solutions.

     

    Refresher Pack

    Continue learning with REFRESHER PACK which includes a one-to-one session on mentorship and career design along with 2 live online sessions for Capstone projects, assignments, exercises and quizzes spread over 2 months.

Yes, you will be eligible to get two certificates - Certificate of Participation and Project Completion Certificate.

 

If you miss any session, you can choose either of the two options:

  • View the recorded session of the class available in your Learning Management System.
  • You can attend the missed session, in the next batch.

Our program instructors have a rich experience of more than 10 years in Data Science, Analytics Consulting, Machine Learning & AI and Risk Analytics projects across industries and geographies. They come from reputed organizations like Accenture Management Consulting, BCG, Bain & Company, Barclays, Standard Chartered etc. with education in premium institutes like IITs with more than 1000+ hours of experience in analytics training sessions across the world.

  • Crisp Curriculum: Curriculum which involves both a theoretical and practical approach
  • Expert Mentorship: Learn under the supervision of experts about implementing your intelligence in a 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

You can call us at +91 8588863954 OR email us at info@clevered.com. We shall be glad to assist you.

 

Locations and Schedule

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 certificate of participation post successful completion of the classroom sessions.

You will receive this certificate post attending the 3-day Bootcamp and completing 80% of the e-learning modules and assignments followed by project submission.

Machine-Learning-AI-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