Overview
In this Artificial Intelligence programme at Udacity , you'll explore optimization algorithms, likelihood functions, minimax search, Bayesian networks, foundational AI concepts and apply them to solve real-life problems. The programme covers classical search algorithms, automated planning, and optimization problems, providing a diverse range of AI skills.
Taught by esteemed experts like Sebastian Thrun, Thad Starner, and Peter Norvig, this course offers an unparalleled opportunity to learn from the best in the field. At Udacity, we are committed to providing practical, real-world learning experiences. Our project-based approach ensures that you apply your skills to actual scenarios, gaining hands-on experience and immediate applicability.
With our top-tier services, including personalized project reviews and access to industry experts, you are set up for success. Enroll in our AI programme to gain cutting-edge skills and join a community of forward-thinking learners.
Nanodegree Skills
- Introduction to Artificial Intelligence
Constraint propagation • Constraint satisfaction problems • Search algorithms • Backtracking search • AI algorithms in Python
- Automated Planning
Optimization algorithms • First order logic • Simulated annealing • A* search algorithm • Uninformed search • Search algorithms • Hill climbing • Search implementation in Python • Informed search • Automated planning problem definition • Propositional logic • Planning algorithms • Automated planning heuristics • Planning graphs
- Adversarial Search
Minimax search • State space search • Multi-agent training
- Fundamentals of Probabilistic Graphical Models
Likelihood function • Bayesian networks • Part of speech tagging • Basic probability • Ibm watson • Viterbi algorithm • Hidden markov models • Text pre-processing • Baum-welch algorithm • Time-series analysis with ML
Get more details
Visit programme websiteProgramme Structure
Courses include:
- Artificial Intelligence
- Classical Search
- Automated Planning
- Optimization Problems
- Adversarial Search
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 2 days
Start dates & application deadlines
Language
Delivered
Campus Location
- Mountain View, United States
Disciplines
Artificial Intelligence View 240 other preparation in Artificial Intelligence in United StatesExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Prior to enrolling, you should have the following knowledge:
- Object-oriented Python
- Intermediate Python
- Object-oriented programming basics
- Basic data structures and algorithms
- Basic descriptive statistics
- Basic calculus
- Command line interface basics
- Differential calculus
- Scripting
- Linear algebra
- Basic algorithms
- Jupyter notebooks
You will also need to be able to communicate fluently and professionally in written and spoken English.
Make sure you meet all requirements
Visit programme websiteTuition Fees
-
International Applies to you
Applies to youNon-residents499 USD / full≈ 499 USD / full - Out-of-State499 USD / full≈ 499 USD / full
-
Domestic
Applies to youIn-State499 USD / full≈ 499 USD / full
Additional Details
249$ - Monthly Subscription - Unlimited access to all Udacity programs, skills and projects
Funding
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Artificial Intelligence.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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