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Udacity

[UDACITY] ARTIFICIAL INTELLIGENCE AI FOR TRADING V1.0.0 Download


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1,812

Complete real-world projects designed by industry experts, covering topics from asset management to trading signal generation. Master AI algorithms for trading, and build your career-ready portfolio.

  • 6 months

  • Study 5-10 hrs / week

CO – CREATED WITH

WHY ENROLL

Become career-ready faster

  • INDUSTRY SIZE & DEMAND

    In India, algo-trading is expected to cross 25% mark of the total equity cash market trade volume by 2020.

  • JOB OPPORTUNITIES

    Quants in India get up to 4-5 openings on an average to apply in a week, which varies from domestic trading companies to large MNCs

  • RANKED #08 CNBC

    Udacity ranked as the most disruptive learning company in the world for 2 years in a row by CNBC

  • GLOBAL COMMUNITY

    Join a global community of quant traders and get a worldwide view of trading startegies with Worldquant

     

WHAT YOU LEARN

Study cutting edge Content

Prerequisites and Requirements

In order to succeed in this Nanodegree program, we strongly recommend that you have following prerequisites.
You should have some experience programming with Python, and be familiar with statistics, linear algebra, and calculus.Python programming knowledge

  • Basic data structures
  • Basic Numpy

Intermediate statistical knowledge

  • Mean, median, mode
  • Variance, standard deviation
  • Random variables, independence
  • Distributions, normal distribution
  • T-test, p-value, statistical significance

Intermediate calculus and linear algebra knowledge

  • Integrals and derivatives
  • Linear combination, linear independence
  • Matrix operations
  • Eigenvectors, eigenvalues

New to Python programming? Check out our free Intro to Data Analysis course.

New to Python programming? Check out our free Programming Foundations with Pythoncourse.

Need to refresh your statistical and algebra knowledge? Check out our free statistics and linear algebra courses:

  • Intro to Statistics free course
  • Linear algebra refresher free course

TERM 1 : BASIC

TERM 2 : ADVANCED

AI Algorithms in Trading

Term fee includes

COURSE CONTENT

Best in-class content by industry leaders in the form of bite-size videos and quizzes.

COURSE SYLLABUS
  • Sentiment Analysis with Natural Language Processing

    Learn the fundamentals of text processing, and analyze corporate filings to generate sentiment-based trading signals.

  • Advanced Natural Language Processing with Deep Learning

    Learn to apply deep learning in quantitative analysis and use recurrent neural networks and long short-term memory to generate trading signals.

  • Simulating Trades with Historical Data

    Learn to refine trading signals by running rigorous back tests. Track your P&L while your algorithm buys and sells.

  • Combining Multiple Signals

    Learn advanced techniques to select and combine the factors you’ve generated from both traditional and alternative data.

PROJECTS

Industry relevant projects + unlimited project reviews by our global reviewers

PROJECT 1
  • Sentiment Analysis using NLP

PROJECT 2
  • Deep Neural Network with News Data

PROJECT 3

PROJECT 4
  • Combine Signals for Enhanced Alpha

SERVICES

We guide and support you throughout your learning journey through these services.

Knowledge

Study Groups
  • collaborate with fellow students & mentors

Project reviews & feedback
  • actionable feedback from expert project reviewers

Your Nanodegree journey

  • ENROLL IN TERM II

    to enroll, write to india@udacity.com, if you have completed Term 1

  • BRUSH UP ON PRE-REQUISITES

    while you wait for classroom to open, brush up on pre-requisites

  • CLASSROOM OPENS

    to know, write to india@udacity.com, if you have completed Term 1

    In case you feel unsure about the program, we offer a full refund on cancelling within 7 days of classroom opening.

  • SUBMIT PROJECTS

    submit all projects within 3 months

  • COMPLETE TERM 2

    finish requirements for graduation

  • NANODEGREE CERTIFICATE

    You are eligible to take part in our career fest Propel.

     

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Categories
Udacity

[UDACITY] ROBOTICS SOFTWARE ENGINEER V1.0.0 Download


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1,149

Build five hands-on projects to acquire core robotics software engineering skills: ROS, Gazebo, Localization, Mapping, SLAM, Navigation, and Path Planning.

  • SKILL COVERED

    C++ROSLocalizationMappingSLAMNavigationPath Planning

    + MORE

  • CLASSROOM OPENS

    30 January 2019

    DURATION

    4 MonthsWe recommend 10 hrs / week

Why Take This Nanodegree Program?

In this program, you’ll learn core robotics skills necessary for success in the field: Localization, Mapping, Simultaneous Localization and Mapping (SLAM), Path Planning, and Navigation. You’ll implement these algorithms with C++, Robot Operating System (ROS), and the Gazebo simulator, and complete five hands-on projects to showcase your skills to hiring managers.

Why Take This Nanodegree Program?

Job openings for robotics software engineers grew over 50% from 2017 to 2018

Learn Core Robotics Skills

Learn Core Robotics Skills

Learn Core Robotics Skills

Learn probabilistic robotics algorithms such as Localization, Mapping, Simultaneous Localization and Mapping (SLAM), Path Planning, and Navigation, and implement them using C++, the Robot Operating System (ROS), and Gazebo.

Build Five Hands-On Projects

Build Five Hands-On Projects

Build five interactive projects using C++ and ROS, and use them to demonstrate your skills in probabilistic robotics algorithms to recruiters and hiring managers.

Beneficial and Supportive Project Review

Beneficial and Supportive Project Review

Beneficial and Supportive Project Review

Advance quickly and successfully through the curriculum with the support of qualified reviewers whose detailed feedback will ensure you learn skills the right way.

Career Support

Career Support

Our experts will review your LinkedIn and GitHub profiles, and help prepare you for successful interviews for robotics jobs.

Advance your Career

This program was built in collaboration with robotics engineers to ensure you learn the skills necessary for success in the field. Demand for skilled robotics engineers is skyrocketing, but it’s important to understand and learn what it really takes to be a qualified robotics software engineer. This program prioritizes mastering job-ready skills with a hands-on approach.

Hiring Partners

Robotics software engineers are in high demand. Create your professional portfolio with Udacity and open up a world of career opportunities. Our hiring partners are eager to meet you.

Succeed with Recruiters

Work with experienced career professionals for tailored advice on how to improve your job search and impress recruiters, including feedback on your LinkedIn, GitHub, and professional brand.

Build a Great Network

65,000+ highly-skilled grads make up your new career community. Ready to collaborate, share referrals, or hire your own team? The Udacity Alumni Network is here for you!

Learn with the best

Sebastian Thrun

Sebastian Thrun

UDACITY, PRESIDENT

As the founder and president of Udacity, Sebastian’s mission is to democratize education. He is also the founder of Google X, where he led projects including the Self-Driving Car, Google Glass and more.

David Silver

David Silver

SCHOOL LEAD

David Silver leads the School of Autonomous Systems at Udacity. Before Udacity, David was a research engineer on the autonomous vehicle team at Ford. He has an MBA from Stanford, and a BSE in computer science from Princeton.

Karim Chamaa

Karim Chamaa

COURSE DEVELOPER

Karim started his early career as a Mechanical Engineer. He earned his M.S. in Mechatronics and Robotics Engineering from NYU. His specialties include Kinematics, Control, and Electronics.

Julia Chernushevich

Julia Chernushevich

COURSE DEVELOPER

Julia is an instructor of Mechatronics Engineering at the University of Waterloo. Her previous work experiences include designing electric vehicles for underground mines and leading a prestigious STEM enrichment program for gifted high-school students.

SKILLS COVERED

  • C++
  • ROS
  • Localization
  • Mapping
  • SLAM
  • Navigation
  • Path Planning

What You Will Learn

SYLLABUS

Robotics Software Engineer Nanodegree Program

Begin your exploration into the world of robotics software engineering with a practical, system-focused approach to programming robots using the ROS framework and C++. In addition, learn and apply robotics software engineering algorithms such as localization, mapping, and navigation.

SEE FEWER DETAILS

4 months to complete

PREREQUISITE KNOWLEDGE

To optimize your chances of success in the Robotics Software Engineer Nanodegree program, we’ve created a list of prerequisites and recommendations to prepare you for the program curriculum.See detailed requirements.

  • Introduction To Robotics

    Learn the essential elements of robotics, meet your instructors, and get familiar with the tools that will help you succeed in this program.

  • Gazebo World

    Learn how to simulate your first robotic environment with Gazebo, the most common simulation engine used by Roboticists around the world.

    BUILD MY WORLD

  • ROS Essentials

    Discover how ROS provides a flexible and unified software environment for developing robots in a modular and reusable manner. Learn how to manage existing ROS packages within a project, and how to write ROS Nodes of your own in C++.

    GO CHASE IT!

  • Localization

    Learn how Gaussian filters can be used to estimate noisy sensor readings, and how to estimate a robot’s position relative to a known map of the environment with Monte Carlo Localization (MCL).

    WHERE AM I?

  • Mapping and SLAM

    Learn how to create a Simultaneous Localization and Mapping (SLAM) implementation with ROS packages and C++. You’ll achieve this by combining mapping algorithms with what you learned in the localization lessons.

    MAP MY WORLD

  • Path Planning and Navigation

    Learn different Path Planning and Navigation algorithms. Then, combine SLAM and Navigation into a home service robot that can autonomously transport objects in your home!

    HOME SERVICE ROBOT

NEED TO PREPARE?

We recommend the Intro to Self-Driving Cars Nanodegree program. This program will teach you the skills you need to be successful in the Robotics Software Engineer Nanodegree program, including C++, linear algebra, calculus, and statistics.

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Categories
Udacity

[UDACITY] MACHINE LEARNING ENGINEER NANODEGREE V1.0.0


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2,445

CAREER-READY NANODEGREE–nd009t

[UDACITY] MACHINE LEARNING ENGINEER NANODEGREE V1.0.0 Free Download

In this program you will master Supervised, Unsupervised, Reinforcement, and Deep Learning fundamentals. You will also complete a capstone project in your chosen domain.

  • 2 Terms
  • 6 Months
  • Study 5-10 hrs / week

CO – CREATED WITH

  • kaggle
  • amazon webservices

WHY ENROLL

Become career-ready faster

INDUSTRY SIZE & DEMAND
Machine Learning Market will be worth 8.81 Billion USD by 2022; growing at a CAGR of 44%.

JOB OPPORTUNITIES
Machine Learning Engineer is one of the most in-demand jobs in the industry

RANKED #08 CNBC
Udacity ranked as the most disruptive learning company in the world for 2 years in a row by CNBC

GLOBAL COMMUNITY
Join a global community of over 50,000 ML Engineers who have learned with Udacity

Prerequisites and Requirements

Intermediate Python programming knowledge, of the sort gained through the Introduction to Programming Nanodegree, other introductory programming courses or programs, or additional real-world software development experience. Including:

  • Strings, numbers, and variables
  • Statements, operators, and expressions
  • Lists, tuples, and dictionaries
  • Conditions, loops
  • Procedures, objects, modules, and libraries
  • Troubleshooting and debugging
  • Research & documentation
  • Problem solving
  • Algorithms and data structures

Intermediate statistical knowledge, of the sort gained through any of Udacity’s introductory statistics courses (listed in our FAQ at the bottom of this page). Including:

  • Populations, samples
  • Mean, median, mode
  • Standard error
  • Variation, standard deviations
  • Normal distribution
  • Precision and accuracy
  • Hypothesis testing
  • Problem solving
  • Confidence Interval, P-values, T-test, Statistical Significance

Intermediate calculus and linear algebra mastery, addressed in the Linear Algebra Refresher Course, including:

  • Derivatives
  • Integrals
  • Series expansions
  • Matrix operations through eigenvectors and eigenvalues

WHAT YOU LEARN

Study cutting edge Content

Term 1 : Machine Learning – Basics

Term fee includes

COURSE CONTENT

Best in-class content by industry leaders in the form of bite-size videos and quizzes.

COURSE SYLLABUS

  • Machine Learning Foundations

    Explore the core concepts of Machine Learning which involve understanding the nuances in your data.

  • Supervised Learning

    Now that you have a background in model building, you will learn about supervised learning, a common class of methods for model construction.

  • Unsupervised Learning

    In this lesson, we will cover unsupervised learning and how it is suitable for different kinds of problem domains.

PROJECTS

Industry relevant projects + unlimited project reviews by our global reviewers

PROJECT 1
  • Predicting Boston Housing Prices
PROJECT 2
  • Find Donors for CharityML
PROJECT 3
  • Creating Customer Segments

SERVICES

We guide and support you throughout your learning journey through these services.

Study Groups
  • Collaborate with Fellow Students
Project reviews & feedback
  • Receive actionable feedback from expert project reviewers until you get your code right!

Your Nanodegree journey

Udacity Course Link: https://in.udacity.com/course/machine-learning-engineer-nanodegree–nd009t

Course Download Now:  For Download – Click here

Categories
Udacity

[UDACITY] ANDROID DEVELOPER NANODEGREE V7.0.0 Free Download


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4,451

[UDACITY] ANDROID DEVELOPER NANODEGREE V7.0.0

Start your career as an Android developer. Learn best practices for mobile development, build a portfolio of apps, and publish your own app to Google Play.

CO – CREATED WITH

WHY ENROLL

Become career-ready faster

  • INDUSTRY SIZE & DEMAND

    Android Device users in India are expected to go upto 800 Mn in India by 2020

  • JOB OPPORTUNITIES

    Android Developer Jobs are one of the Hottest Jobs in India with increase in internet consumption

  • RANKED #08 CNBC

    Udacity ranked as the most disruptive learning company in the world for 2 years in a row by CNBC

  • GLOBAL COMMUNITY

    Join a global community of over 20,000 Android Developers who have learned with Udacity

     

Prerequisites and Requirements

In order to succeed in this Nanodegree program, we strongly recommend that you are proficient in Java. We use Java exclusively for our example code and require you to submit your coding in Java.

If you are proficient in another object-oriented programming language like Python or C++, you should be able to complete the program successfully as long as you are comfortable learning Java throughout the Nanodegree program.

You also must have experience working with and sharing code using git and GitHub. If you lack this background, we recommend the following courses:

  • Java Programming Basics
  • How to Use Git and GitHub

If you are new to programming and want to get started developing Android apps, we recommend you check out our Android Basics Nanodegree program.

You will need to be able to communicate fluently and professionally in written and spoken English.

COURSE CONTENT

Best in-class content by industry leaders in the form of bite-size videos and quizzes.

COURSE SYLLABUS
  • Welcome to Your Nanodegree program

    Welcome! Here’s an overview of the program where you’ll create an Android app, along with some helpful resources to get you started.

  • Developing Android Apps

    Work with instructors step-by-step to build a cloud-connected Android app. Blending theory and practice, learn how to build great apps the right way.

  • Advanced Android App Development

    Make your apps more responsive, and create a total user experience with home screen widgets, third-party libraries, and more. Also, learn to deeply integrate rich media, test user interfaces, and publish to Google Play.

Your Nanodegree journey

  • ENROLL IN TERM 1

    enroll by 16 Jan 2019

  • BRUSH UP ON PRE-REQUISITES

    while you wait for classroom to open, brush up on pre-requisites

  • CLASSROOM OPENS

    classroom will open on 16 Jan 2019

    In case you feel unsure about the program, we offer a full refund on cancelling within 7 days of classroom opening.

  • SUBMIT PROJECTS

    submit all projects within 3 months

  • COMPLETE TERM 1

    finish requirements for graduation

  • ENROLL FOR TERM 2

    you will now be prepared to enroll for Term 2

INSTRUCTORS

Learn from top Industry Experts

James Williams

CURRICULUM LEAD

James Williams is the Android Curriculum Lead at Udacity, where he also creates Web development courses. He is the author of “HTML5 Game Programming,” and runs obstacle course/adventure races in his spare time.

Reto Meier

INSTRUCTOR

Reto Meier has been part of Android Developer Relations at Google since 2009, and leads Google’s Scalable Developer Advocacy team. He is the author of the “Professional Android Application Development” book series from Wrox.

Dan Galpin

INSTRUCTOR

Dan Galpin is a Developer Advocate for Android at Google, focusing on Android performance tuning, developer training, and games. He has over 10 years of experience in mobile, developing at almost every layer of the phone stack.

Jocelyn Becker

SENIOR PROGRAM MANAGER

Jocelyn Becker wrote the developer documentation for the first external Google API in 2004, and has been teaching developers to use Google APIs and technologies ever since. She has managed the creation of many of the Android courses built by Google and Udacity.