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[Udacity] Artificial Intelligence Nanodegree and Specializations v1.0.0

CAREER-READY NANODEGREE–nd898–nd889 Artificial Intelligence Learn essential Artificial Intelligence concepts from AI experts like Peter Norvig and Sebastian Thrun, including search, optimization, planning, pattern recognition, and more. 1 Term 3 Months Study 12 hrs / week WHY ENROLL Become career-ready faster INDUSTRY SIZE & DEMAND AI technogies will significantly grow with a compound annual growth rate

CAREER-READY NANODEGREE–nd898–nd889

Artificial Intelligence

Learn essential Artificial Intelligence concepts from AI experts like Peter Norvig and Sebastian Thrun, including search, optimization, planning, pattern recognition, and more.

  • 1 Term
  • 3 Months
  • Study 12 hrs / week

WHY ENROLL

Become career-ready faster

  • INDUSTRY SIZE & DEMAND

    AI technogies will significantly grow with a compound annual growth rate (CAGR) of 56.8%.

  • JOB OPPORTUNITIES

    The number of jobs in artificial intelligence may see a jump of 50-60%, as per NITI Aayog.

  • 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 Deep Learning Engineers who have learned with Udacity

Our Hiring Partners in Artificial Intelligence

  • Conde Nast
  • Map My India

WHAT YOU LEARN

Study cutting edge Content

Prerequisites and Requirements

Basic knowledge of linear algebra and calculus

  • The ability to apply basic probability and statistics.
  • Programming experience in Python.
  • Experience implementing computer science algorithms and object-oriented programming.
  • The ability to run programs and interpret output from a command line terminal or shell.
  • You will also need access to a Windows, macOS, or Linux computer with Python 3.4 or later installed, and admin permissions to install new programs.

Term fee includes

COURSE CONTENT

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

COURSE SYLLABUS
  • Constraint Satisfaction Problems

    Use constraint propagation and search to build an agent that reasons like a human would to efficiently solve any Sudoku puzzle.

  • Search, Optimization, and Planning

    Build agents that can reason to achieve their goals using search and symbolic logic—like the NASA Mars rovers.

  • Adversarial Search

    Extend classical search to adversarial domains, to build agents that make good decisions without any human intervention—such as the DeepMind AlphaGo agent.

  • Fundamentals of Probabilistic Graphical Models

    Model real-world uncertainty through probability to perform pattern recognition.

PROJECTS

Industry relevant projects + unlimited project reviews by our global reviewers

PROJECT 1
  • Build a Sudoku Solver

PROJECT 2
  • Build a Forward Planning Agent

PROJECT 3
  • Build an Adversarial Game Playing Agent

PROJECT 4
  • Part of Speech Tagging

SERVICES

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

Knowledge
  • Search-based Q&A forum

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

  • ENROLL IN NANODEGREE PROGRAM

    enroll by 19 Feb 2019

  • BRUSH UP ON PRE-REQUISITES

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

  • CLASSROOM OPENS

    classroom will open on 20 Feb 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 NANODEGREE PROGRAM

    finish requirements for graduation

  • GRADUATE

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

INSTRUCTORS

Learn from top Industry Experts

  • Peter Norvig

    RESEARCH DIRECTOR, GOOGLE

    Peter Norvig is a Director of Research at Google and is co-author of Artificial Intelligence: A Modern Approach, the leading textbook in the field.

  • Sebastian Thrun

    FOUNDER, UDACITY

    Sebastian Thrun is a scientist, educator, inventor, and entrepreneur. Prior to founding Udacity, he launched Google’s self-driving car project.

  • Thad Starner

    PROFESSOR OF COMPUTER SCIENCE, GEORGIA TECH

    Thad Starner is the director of the Contextual Computing Group (CCG) at Georgia Tech and is also the longest-serving Technical Lead/Manager on Google’s Glass project.

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