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  • Understand Artificial Intelligence in detail
  • Work on Data Science with python
  • Deep dive into Machine Learning
  • Understand Deep Learning with Keras and TensorFlow

About the Course:

The “Deep Dive into Artificial Intelligence - The Master Program” course is an intermediate level course, curated exclusively for both beginners and professionals.

The course covers the basics as well as the advanced level concepts. The course contains content based videos along with practical demonstrations, that performs and explains each step required to complete the task.

 

Learning Objectives:

By the end of the course, you will be able to learn about:

  • Introduction to Artificial Intelligence

  • Fundamentals of Machine Learning and Deep Learning

  • Machine Learning Workflow

  • Performance Metrics

  • Overview of Data Science

  • Overview of Data Analytics

  • Statistical Analysis and Business

  • Python Environment Setup and Essentials

  • Mathematical Computing with Python

  • Scientific Computing with Python

  • Data Manipulation with Pandas

  • Machine Learning with Scikit-Learn

  • Natural Language Processing with Scikit Learn

  • Data Visualization in Python using matplotlib

  • Web Scraping with BeautifulSoup

  • Python Integration with Hadoop MapReduce and Spark

  • Introduction to AI and Machine Learning

  • Data Preprocessing

  • Supervised Learning

  • Feature Engineering

  • Supervised Learning Classification

  • Unsupervised Learning

  • Time Series Modeling

  • Ensemble Learning

  • Recommender Systems

  • Text Mining

  • Introduction to TensorFlow

  • Convolutional Network

  • Recurrent Neural Network

  • Restricted Boltzmann Machine (RBM)

  • Autoencoders

...and much more! There are separate sections for Artificial Intelligence, Data Science with Python, Machine Learning, and Deep Learning with Keras and TensorFlow which lets you scale up these techniques.

 

Don't worry if you've never used Python before; the course covers the topics from the basics. You should be able to pick it up fast if you have experience with programming.

 

This course will teach you the fundamental methods employed by data scientists in the actual world of business, which is ideal if you are a programmer wishing to transition into a fascinating new career path. What are you waiting for? These are things that any successful technologist must be aware of. Enroll now!

  • No prerequisites are required, as the course covers the concepts from the scratch. However, basic knowledge of Python would help.
  • Candidates who are willing to learn AI in detail
  • IT professional willing to upskill themselves in Data Science, ML, or AI
  • Freshers/ Beginners who are willing to make a career in Data Science, ML, or AI
  • Python developers willing to upskill themselves
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  • Section 1 : Lesson 1:Artificial Intelligence 4 Lectures 00:00:04

    • Lecture 1 :
    • Introduction to Artificial Intelligence Preview
    • Lecture 2 :
    • Demo: Introduction to Artificial Intelligence
    • Lecture 3 :
    • Demo: Model Evaluation
    • Lecture 4 :
    • Demo: Perceptron
  • Section 2 : Lesson 2:Data Science With Python 17 Lectures 01:18:11

    • Lecture 1 :
    • Overview of Data Science
    • Lecture 2 :
    • Overview of Data Analytics
    • Lecture 3 :
    • Demo: Overview of Data Analytics
    • Lecture 4 :
    • Statistical Analysis and Business
    • Lecture 5 :
    • Demo: Statistical Analysis and Business
    • Lecture 6 :
    • Python Environment Setup and Essentials
    • Lecture 7 :
    • Mathematical Computing with Python
    • Lecture 8 :
    • Demo: Mathematical Computing with Python
    • Lecture 9 :
    • Scientific Computing with Python
    • Lecture 10 :
    • Demo: Scientific Computing with Python
    • Lecture 11 :
    • Data Manipulation with Pandas
    • Lecture 12 :
    • Demo: Data Manipulation with Pandas
    • Lecture 13 :
    • Machine Learning with Scikit-Learn
    • Lecture 14 :
    • Natural Language Procssing with Scikit Learn
    • Lecture 15 :
    • Data Visualization in Python using Matplotlib
    • Lecture 16 :
    • Web Scraping with BeautifulSoup
    • Lecture 17 :
    • Python Integration with Hadoop MapReduce and Spark
  • Section 3 : Lesson 3:Machine Learning 14 Lectures 01:03:55

    • Lecture 1 :
    • Overview of Machine Learning
    • Lecture 2 :
    • Data Preprocessing
    • Lecture 3 :
    • Demo: Data Preprocessing
    • Lecture 4 :
    • Supervised Learning
    • Lecture 5 :
    • Demo: Regression
    • Lecture 6 :
    • Feature Engineering
    • Lecture 7 :
    • Demo: Feature Engineering
    • Lecture 8 :
    • Supervised Learning Classification
    • Lecture 9 :
    • Demo: Classification
    • Lecture 10 :
    • Unsupervised Learning
    • Lecture 11 :
    • Time Series Modeling
    • Lecture 12 :
    • Ensemble Learning
    • Lecture 13 :
    • Recommender Systems
    • Lecture 14 :
    • Text Mining
  • Section 4 : Lesson 4:Deep Learning With Keras and TensorFlow 8 Lectures 00:34:18

    • Lecture 1 :
    • Deep Learning with Keras and TensorFlow
    • Lecture 2 :
    • Demo: Introduction to Deep Learning
    • Lecture 3 :
    • Convolution Network
    • Lecture 4 :
    • Demo: Convolutional Network
    • Lecture 5 :
    • Recurrent Neural Network
    • Lecture 6 :
    • Demo: Recurrent Neural Network
    • Lecture 7 :
    • Restricted Boltzmann Machine (RBM)
    • Lecture 8 :
    • Autoencoders
  • How do i access the course after purchase?

    It's simple. When you sign up, you'll immediately have unlimited viewing of thousands of expert courses, paths to guide your learning, tools to measure your skills and hands-on resources like exercise files. There’s no limit on what you can learn and you can cancel at any time.
  • Are these video based online self-learning courses?

    Yes. All of the courses comes with online video based lectures created by certified instructors. Instructors have crafted these courses with a blend of high quality interactive videos, lectures, quizzes & real world projects to give you an indepth knowledge about the topic.
  • Can i play & pause the course as per my convenience?

    Yes absolutely & thats one of the advantage of self-paced courses. You can anytime pause or resume the course & come back & forth from one lecture to another lecture, play the videos mulitple times & so on.
  • How do i contact the instructor for any doubts or questions?

    Most of these courses have general questions & answers already covered within the course lectures. However, if you need any further help from the instructor, you can use the inbuilt Chat with Instructor option to send a message to an instructor & they will reply you within 24 hours. You can ask as many questions as you want.
  • Do i need a pc to access the course or can i do it on mobile & tablet as well?

    Brilliant question? Isn't it? You can access the courses on any device like PC, Mobile, Tablet & even on a smart tv. For mobile & a tablet you can download the Learnfly android or an iOS app. If mobile app is not available in your country, you can access the course directly by visting our website, its fully mobile friendly.
  • Do i get any certificate for the courses?

    Yes. Once you complete any course on our platform along with provided assessments by the instructor, you will be eligble to get certificate of course completion.
  • For how long can i access my course on the platform?

    You require an active subscription to access courses on our platform. If your subscription is active, you can access any course on our platform with no restrictions.
  • Is there any free trial?

    Currently, we do not offer any free trial.
  • Can i cancel anytime?

    Yes, you can cancel your subscription at any time. Your subscription will auto-renew until you cancel, but why would you want to?

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Skillcart is an e-learning company that helps learners upskill in different technology domains with its customized courses that can be used by both beginners and professionals. Skillcart provides self-paced e-learning videos for all types of technical courses. Skillcart has courses available for Artificial Intelligence, Data Science with Python, Machine Learning, Deep Learning, and many more.
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