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AI Specialization

This Artificial Intelligence online program is created to help students learn Python Programming and its application to Data Science, Machine Learning, Deep Learning and Text Analytics. This is followed by hands-on experience in solving problems using Deep Learning to get a real-time experience of Data Science projects.

LEARN

  • Essentials of Python Programming and Introduction to Libraries
  • Data Exploration with Statistics
  • Data Visualization
  • Machine Learning Techniques
  • Deep Learning
  • Text Analytics
  • Projects

COURSE DURATION

200 hours

SESSION TIMINGS

Weekday – 1.5 hours
Weekends – 6 hours

DEMO VIDEO

COURSE FEATURES

Online Live Sessions

Instructed led live in-depth sessions

Certifications

Get a course completion certificate

Communications

2 way communication via text & speech

 

Free Trial Class

Get a Demo class before Registeration for assured learning

Industry Projects

Multiple domains specific projects & discussions

 

Small Batch Size

15-20 students per batch for 1-to-1 interactions

Cloud Based Lab

Cloud-based online lab for hands-on training

 

Placement Assistance

Assistance in resume building & placement

CURRICULUM

Statistics Fundamentals

Descriptive and Inferential statistics concepts and implementation using real-world data will also be covered. It will end with a case study implementation of EDA.

 

  • Descriptive Statistics
  • Inferential Statistics

Python Programming

Python is a critical tool for Data Science. In this module participants learn Python programming from basic to advanced level using Jupyter notebooks. Here, participants create, subset and manipulate various data structures. Specific libraries like NumPy, Pandas and Matplotlib that are popular for Data Analysis are covered in depth.

  • ESSENTIALS OF PYTHON PROGRAMMING
  • BASIC DATA STRUCTURES AND FUNCTIONS IN PYTHON
  • INTRODUCTION TO
    -Numpy Library
    -Pandas Library
    -Matplotlib and Seaborn Library
  • DATA EXPLORATION USING STATISTICS

Machine Learning using SciKit Learn (Python)

Machine Learning algorithms are the backbone of Predictive Modelling. This is where the Crux of Data Science lies. The end objective of solving a data science problem is finding the patterns in the data and represent that in the form of a Data model. The algorithms taught in our course cover almost all of the problems data scientists solve on a regular basis.

  • The Machine Learning Landscape
  • Supervised Machine Learning
  • UnSupervised Machine Learning

Deep Learning

In this module, participants will learn the foundations of Deep Learning and understand how to build neural networks. The implementation of the same will be done using Python, TensorFlow and Keras.

  • Deep Learning Fundamentals
  • Working with Keras
  • Training Deep Neural Networks
  • Deep Computer Vision Using
  • Convolutional Neural Networks
  • Pretrained Models for Transfer
  • Learning
  • Classification and Localization
  • Object Detection

Text Analytics

Natural Language Basics

  • Introduction to Natural Language processing
  • Processing and Understanding Text
  • Text Classification
  • Text Similarity and Clustering
  • Semantic and Sentiment Analysis

Data Visualization using Tableau

Tableau is one of the most popular Data Visualization tools used by Data Science and Business Intelligence professionals. In fact, it has been the market leader in reporting tools for almost 10 years (Source: Gartner magic quadrant). Once the predictive analysis of data is done, data scientists generally use Tableau to send out the reports to business which can then take decisions accordingly.

  • Intro To Data Visualization and Tableau
  • Data Connections – Joins and Vizql
  • Building Basic Charts, Chart Types And Mapping
  • Aggregation, Parameter
  • Statistical Analysis Using Tableau – Regression and Box Plots
  • Table Calculation, Calculated Fields
  • Dashboarding
  • Integration Of Python with Tableau

R Programming [Recorded]

R is one of the most commom languages used in Data Science.
Learn

  • Fundamentals of R Programming – Working with RStudio
  • Data structures & data types in R
  • Functions
  • Control Structures
  • Data handling in R – Importing and Exporting Data
  • Cleaning and Manipulating Data

Case Studies

  • Work on multiple Case Studies of Machine Learning and Deep Learning.

    Projects

    • Work on the Capstone Project. Choose from a set of projects and work on at least a couple of projects under the guidance of the mentors to create a portfolio for business.
    • Projects include problems that would be solved using Traditional Machine Learning models and Deep Learning algorithms (AI Project)

      TEACHING METHODOLOGY

      • Online Classes [Get the services of best trainers from Anywhere]
      • LIVE instructor-led training throughout the training duration
      • Entirely Hands-On driven session
      • Practical Inputs from real-time scenarios
      • Problems and Case Study driven training
      • Machine Learning algorithms are taught using at least 2 Case Studies for every algorithm

      INSTRUCTOR PROFILE

      Kushagra, (IIT Delhi – 8+ years experience in Analytics & data science), has a keen interest in Problem Solving, Deriving insights & Improving the efficiency of processes with new age technologies.

      He’s good with statistical concepts and possess thorough business understanding along with practical experience in linear models (like Linear Regression, Logistic Regression, Ridge Regression, Lasso Regression),

      Tree based algorithms (like Decision trees, Bagging, Random Forest, GBM, XGBoost), clustering (like K-Means, Hierarchical),Time-series analysis (like ARMA, ARIMA, stationarity), Deep learning(CN, RNN), NLP Techniques(TFIDF, LDA, Topic Modelling) Extensive knowledge of Tools like R,Python, Spark, Tensorflow, Keras, Tableau. Trained 500+ participants in R, Machine Learning, Tableau and Python, Big Data Analytics at Dimensionless Conducted workshops and training on Data Analytics for Corporate and Colleges

      Read More

      HIMANSHU (IIT, Bombay – 10+ years experience in Data Science) A machine-learning practitioner, fascinated by the numerous application of Artificial Intelligence in the day to day life.

      I enjoy applying my quantitative skills to new large-scale, data-intensive problems.I am an avid learner keen to be the frontrunner in the field of AI. I enjoy learning new technologies at work and strive hard to acquire finesse in skills that I have honed over my career.

      Trained 500+ participants in R, Machine Learning, Tableau and Python, Big Data Analytics and Deep Learning at Dimensionless

      Conducted workshops and training on Data Analytics for Corporate and Colleges

      He possesses knowledge of a wide variety of machine learning and deep learning algorithms.

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      Pranali is a professional Data Science Trainer with more than 15 years of experience in the teaching various training programs on Databases, Programing and Machine Learning.
      Her core competency include Databases, Data Science and Big Data. She holds a Masters degree in Computer Engineering from University of Pune.

      FAQS

      Are there any pre-requisites to learn this course?

      • Yes, the participant should have a working knowledge of Python for Data Science and must have worked on Machine Learning Algorithms.

      Why Should I Learn Artificial Intelligence from Dimensionless?

      • Dimensionless Tech provides best online data science training that provides in-depth course coverage, case study based learning, entirely Hands-on driven sessions with Personalised attention for every participant. We guarantee Learning.

      What Are The Various Modes Of Training That you Offer?

      • We provide only instructor led LIVE online training sessions. We do not provide classroom trainings.

      How is your online training better than other online or classroom training?

      • In physical classrooms, students generally feel hesitant to ask questions. Unlike other online courses,  we allow you to speak in the session and clarify your doubts. The interactivity level is similar to classroom training and you get it in the comfort of your home. If you miss any class or didn’t understand some concepts, you can’t go through the class again. However, in online courses, it’s possible to do that. We share the recordings of all our classes after each class with the student. Also, there’s no hassle of long distance commuting and disrupting your schedule.

      Can I ask my doubts during the session?

      • All participants are encouraged to speak up and ask their doubts. We answer all the doubts with the same sincerity.

      Where do I get the Softwares from?

      • All the software used in this course are Freely downloadable from the Internet. The trainers help you set it up in your systems. We also provide access to our Cloud-based online lab where these are already installed.

      What is the hardware requirement for this course?

      • Any laptop with 2GB RAM and Windows 7 and above is perfectly fine for this course. For large data, the access will be given on the online lab. 

      What if I miss a session, due to some unavoidable situation?

      • We understand that while balancing your personal and professional commitments you might miss a session. Hence, all our sessions are recorded and the recordings are shared with you through our Learning Management Portal.

      How long will I have access to the Learning Management Portal?

      • You will have lifetime access to the portal and you can view the Videos, Notes, Books, Assignments as many time

      What Kind Of Projects Will I Be Working On As Part Of The Training?

      • During the training you will be solving multiple case studies from different domains. Once the LIVE training is done, you will start implementing your learnings on Real Time Datasets.  You can work on data from various domains like Retail, Manufacturing, Supply Chain, Operations, Telecom, Oil and Gas and many more. You would be working on multiple projects so that you can gain enough content and confidence to enter into the field of Data Science.

      Do You Provide Placement Assistance?

      • Yes, we provide you with real-time industry requirements on a daily basis through our connection in the industry. These requirements generally come through referral channels, hence the probability to get through increases manifold.

        The HR from the team helps you with Resume Building and Interview Preparation as well.

      Do I get a Course Completion Certificate?

      • Yes, we will be issuing a course completion certification to all individuals who successfully complete the training.

      POPULAR COURSES

      Data Science Program

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      Machine Learning Specialization

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      Deep Learning

      Duration: 60 hours