Artificial Intelligence Nanodegree v2.0.0

Nanodegree key: nd898

Version: 2.0.0

Locale: en-us

Become an expert in the core concepts of artificial intelligence and learn how to apply them to real-life problems.

Content

Part 01 : Foundations of AI

Module 01: Introduction to the Nanodegree
- Lesson 01: Welcome to Artificial Intelligence
  Welcome to Term 1 of the Artificial Intelligence Nanodegree program!
- Lesson 02: Introduction to AI
  An introduction to basic AI concepts with real world examples.
- Lesson 03: Applying AI to Sudoku
  In this lesson, you'll get taste of the power of Artificial Intelligence by developing an algorithm to solve every Sudoku puzzle. Enjoy the fun of building your first AI agent and get coding!
- Lesson 04: Setting up with Anaconda
  Get your environment set up using Anaconda, an extremely popular way to manage your environments and packages in python.
- Lesson 05: Solving Sudoku with AI
  Project Description - Solve a Sudoku with AI
  
  Project Rubric - Solve a Sudoku with AI
  - Concept 01: Project Introduction
Module 02: Career Services
- Lesson 01: Jobs in AI
  Learn about common jobs in artificial intelligence, and get tips on how to stay active in the community.
- Lesson 02: Optimize Your GitHub Profile
  Other professionals are collaborating on GitHub and growing their network. Submit your profile to ensure your profile is on par with leaders in your field.
  
  Project Description - Optimize Your GitHub Profile
  
  Project Rubric - Optimize Your GitHub Profile
- Lesson 03: Strengthen Your Online Presence Using LinkedIn
  Find your next job or connect with industry peers on LinkedIn. Ensure your profile attracts relevant leads that will grow your professional network.
  
  Project Description - Improve Your LinkedIn Profile
  
  Project Rubric - Improve Your LinkedIn Profile
Module 03: Search and Optimization
- Lesson 01: Introduction to Game Playing
  In this lesson, you'll learn about how to build a Game Playing AI Agent. You'll focus on an agent that wins in the board game Isolation! You'll learn some of the seminal techniques in AI Game Playing including Adversarial Search and Minimax Trees.
- Lesson 02: Advanced Game Playing
  In this lesson, you'll build a Game-Playing agent that defeats opponents in Isolation. Along the way, you'll learn about advanced Game-Playing techniques such as Iterative Deepening, Alpha-Beta Pruning, and Expectimax.
- Lesson 03: Build an Adversarial Search Agent
  Project Description - Build a Game-Playing Agent
  
  Project Rubric - Build a Game-Playing Agent
  - Concept 01: Project Introduction
- Lesson 04: Search
  In this lesson, you'll learn how to implement some of the seminal search algorithms that are a cornerstone of AI including Breadth-First Search, Depth-First Search, and finally A Star Search. You'll then put your skills to the test by teaching Pac-Man to navigate his world and complete complex tasks such as finding the fastest path through the map while maximizing points scored.
- Lesson 05: Simulated Annealing
  In this lesson, you'll learn how to explore spaces and avoid local optima by using Simulated Annealing. In the process, you'll solve the famous n-Queens problem using this advanced AI technique!
- Lesson 06: Constraint Satisfaction
  In this lesson we'll return to one of the main techniques we used to solve Sudoku - constraint propagation. We'll see how to use known constraints to solve a wide variety of problems including Map Coloring problems, and simple puzzles.
Module 04: Logic, Reasoning, and Planning
- Lesson 01: Logic and Reasoning
  In this lesson you'll learn to build intelligent systems that can reason using logic! This is in many ways one of the foundational pieces of intelligence - the ability to arrive at new conclusions from a given set of facts.
- Lesson 02: Planning
  Explore how we can use logic and search to plan out complex itineraries. Many of these planning approaches are the same ones used to power Self-Driving Cars!
- Lesson 03: Create a Domain-Independent Planner
  Project Description - Implement a Planning Search
  
  Project Rubric - Implement a Planning Search
  - Concept 01: Project Introduction
Module 05: Probabilistic Models