[Udacity] Artificial Intelligence Nanodegree and Specializations v1.0.0
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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
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.
Size: 8.35 GB
https://www.udacity.com/course/ai-artificial-intelligence-nanodegree–nd898.
Thanks for this one. You guys rule!