AI Level 1: Foundations of Artificial Intelligence

4.9 (59 ratings)
|
Taken by 193 students

What’s more exciting than learning AI? This course is where you start. Learners expand their knowledge of object-oriented programming and the additional skills it takes to train computers. Projects include building programs that solve problems and puzzles.

LIMITED SPOTS: 15 INSTRUCTORS LEFT!
Private 1:1
Format
Age 14-18
Learners
Weekly
Classes
50 minutes
Per class
AI Level 1: Foundations of Artificial Intelligence

About this Course

In our AI Level 1 course, you’ll work one on one with a talented Juni Instructor to explore the foundations of artificial intelligence by building exciting projects like a Tic-Tac Toe AI and an AI puzzle solver. The course is taught in Python and is one of our most exciting real world application courses.

LIMITED SPOTS: 15 INSTRUCTORS LEFT!

Billed as

$275 / month

4 classes / month × $68.75 / class
First class free!
  • First class free!
  • Cancel anytime

1:1 classes are 50 minutes long and can be scheduled anytime Monday-Sunday from 7am to 7pm PT. To begin, select Try a Free Class to signup. Our team will then match you and set up your first class!

  • Course duration
    4-6 months
  • Lesson
    50 minutes
  1. I know what object oriented programming is.

  2. I know what objects and classes are, how they relate to each other, and how to use them.

  3. I can create a class in Python.

  4. I can define the instance variables of a class in Python.

  5. I can write a constructor for a class in Python.

  6. I can define getter and setter functions in Python, and know how to use them both.

  7. I can define other member functions in my classes in Python as necessary.

  1. I know what a graph is, and can use terminology to describe them.

  2. I know the difference between weighted and unweighted graphs.

  3. I know the difference between directed and undirected graphs.

  4. I know what a tree is, and what makes a graph a tree.

  1. I know what a search problem is.

  2. I know terminology having to do with search problems, such as initial state and goal state.

  3. I know what search problems have to do with AI.

  4. I know how search problems relate to graphs.

  1. I understand what a stack is.

  2. I know how to use a stack in Python.

  3. I know why stacks are useful in search problems.

  4. I understand what a queue is.

  5. I know how to use a queue in Python.

  6. I know why queues are useful in search problems.

  1. I understand what a graph traversal algorithm is.

  2. I understand what Depth First Search is and how to implement it in Python.

  3. I understand what Breadth First Search is and how to implement it in Python.

  4. I know the difference between the Depth and Breadth First Search algorithms.

  1. I understand game theory, and how we can model games with Python.

  2. I can create a game tree.

  3. I can use the Minimax algorithm with AI to create an adversarial game.

  1. I know what uninformed searching is, and can identify uninformed searching methods.

  2. I understand and can implement Depth Limited Search in Python.

  3. I understand and can implement Iterative Deepening Search in Python.

  4. I understand and can implement Uniform Cost Search in Python.

  1. I know what informed searching is, and can identify informed searching methods.

  2. I understand and can implement Greedy Best First Search.

  3. I understand and can implement A* Search.

Instructors will assign students roughly 60 minutes of project related homework at the end of each session. Homework is designed to complement the class experience and ensure the student continues to gain practical experience outside of the session.

Completion of Python Level 3 (or evidence of mastery of the key concepts from Python Level 3)

Who are Juni’s Instructors?

Our instructors are subject matter experts from top US universities. Instructors are highly-vetted and background checked prior to joining and undergo extensive training before ever teaching on our platform.

Upon signing up, parents are asked a series of questions that allow us to match your child with an optimal instructor based on their unique needs and interests. Factors that are considered in our matching process include Learning Style, Personality, Personal Experience, and Academic & Career Aspiration.

Headshot for Puja D
Puja D
I really like bringing a strong energy to my classes, and sharing excitement with my students about learning new topics.

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Real Reviews from Real Parents

4.9 out of 5

Trustpilot

Ray

My 3 sons ages, 10 1/2, 9 and 7 started using Juni in early June 2020 and absolutely love it. The instructors are college age kids and they relate to my boys very well. My oldest is doing both the coding and math tracks and I feel like he will be way ahead of his 5th grade class come the fall. Once the other two are old enough I will certainly be enrolling them in math as well.

Tarun Mehta

Juni has been amazing for my daughter. She is a reluctant learner when it comes to Computer Languages, but the Juni instructors have been engaging to her at a level where she feels comfortable with them and they manner in which they present the curriculum. They understood my ask that I Wanted her to start liking computer languages, and they are presenting the information in a way that is fun and relatable. I am very happy with my Juni experience and my daughter's journey with Juni so far!

Pooja

I have two boys taking classes and the Juni takes the time to match the right instructor for my children. They are patient and very consistent in their teaching. The boys are thoroughly enjoying their class and love accomplishing and learning new things!

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