Artificial Intelligence Specialist Certificate
12
Mar

Artificial Intelligence Specialist Certificate

1.Learning Methodology

  • Instructor-Led Classroom Training (ILT).

 

2.Prerequisites:

  • Deep Learning Specialist Certificate

 

3.Training Program Description:

  • This program will teach you all the tools needed to succeed in your journey into the world of AI.
  • Make sure to set aside adequate time on your calendar for focused work. In order to succeed, this program will teach you how to become a better Artificial Intelligence or Machine Learning Engineer by teaching you classical AI algorithms applied to common problem types. You will complete projects and exercises incorporating search, optimization, planning, and probabilistic graphical models that have been used in Artificial Intelligence applications for automation, logistics, operations research, and more. These concepts form the foundation for many of the most exciting advances in AI in recent years. Each project you build will be an opportunity to demonstrate what you’ve learned in your lessons and become part of a career portfolio that will demonstrate your mastery of these skills to potential employers.

Program Duration: 5 weeks

 

4.Projects

  • This program is comprised of many career-oriented projects. Each project you build will be an opportunity to demonstrate what you’ve learned in the lessons. Your completed projects will become part of a career portfolio that will demonstrate to potential employers that you have skills in data analysis and feature engineering, machine learning algorithms, and training and evaluating models.
  • One of our main goals at EAII is to help you create a job-ready portfolio of completed projects. Building a project is one of the best ways to test the skills you’ve acquired and to demonstrate your newfound abilities to future employers or colleagues. Throughout this program, you’ll have the opportunity to prove your skills by building the following projects
  • Building a project is one of the best ways both to test the skills you’ve acquired and to demonstrate your newfound abilities to future employers. Throughout this program, you’ll have the opportunity to prove your skills by building the following projects:

 

  • Project 1: Generate Faces
  • Project 2: Teach a Quadcopter to Fly
  • Project 3: Build a Forward Planning Agent
  • Project 4: Build an Adversarial Game Playing Agent
  • project 5: Part of Speech Tagging
  • Capstone project

 

Curriculum

I-Artificial Intelligence Professional Topics

  • Intro to Artificial Intelligence
    • Intro to Artificial Intelligence
    • Setting Up your Environment with Anaconda
  • Constraint Satisfaction Problems
    • Solving Sudoku With AI
    • Constraint Satisfaction Problems
    • Advanced Topics in CSP
  • Classical Search
    • Introduction
    • Uninformed Search
    • Informed Search
    • Advanced Topics: Search
    • Exercise: Search ➔ Implement informed & uninformed search for Pacman
  • Optimization Problems
    • Introduction
    • Hill Climbing
    • Simulated Annealing
    • Genetic Algorithms
    • Additional Optimization
    • Exercise: Optimization Problems Topics
  • Automated Planning
    • Symbolic Logic & Reasoning
    • Introduction to Automated Planning
    • Classical Planning
    • Advanced Topics in Planning
  • Adversarial Search
    • Search in Multi-Agent Domains
    • Optimizing Minimax Search
    • Extending Minimax Search
    • Advanced Adversarial Search Topics
  • Probabilistic Models & Pattern Recognition
    • Search in Multi-Agent Domains
    • Optimizing Minimax Search
    • Extending Minimax Search
    • Advanced Adversarial Search Topics

 

Course Content

Total learning: 7 lessons Time: 5 weeks

    Contact information:

    +1 (408) 641-4068
    .




    info@epsilonaii.org
    .



    919 North Market Street, Suite 950, Wilmington, Delaware, USA, 19810