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Artificial Intelligence & Machine Learning Flex Bootcamp

This is a 24-week online program and students are expected to spend 15 to 25 hours a week to master the material. Attend courses, do hands-on labs and apply your learning to successfully complete project that address Artificial Intelligence and Machine Learning topics. Throughout the program, you will interact with experts who will guide you through the bootcamp, answer questions, and help with labs and projects. The bootcamp will end with a capstone project where you will apply your learnings to real-life AI/ML Challenges

Self-Paced

Learning Style

BootCamp

Learning Style

Intermediate

Difficulty

Varies

Course Duration

Certificate

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This is a 24-week online program and students are expected to spend 15 to 25 hours a week to master the material. Attend courses, do hands-on labs and apply your learning to successfully complete project that address Artificial Intelligence and Machine Learning topics. Throughout the program, you will interact with experts who will guide you through the bootcamp, answer questions, and help with labs and projects. The bootcamp will end with a capstone project where you will apply your learnings to real-life AI/ML Challenges

Course Information

About this Bootcamp:

The Artificial Intelligence & Machine Learning (AI/ML) bootcamp is an immersive and accelerated training program with a focus on creating the next generation of AI/ML professionals. You will attend courses, do hands on labs and apply your learning to successfully complete projects that address different AI/ML topics. Throughout the program you will interact with experts who will guide you through the bootcamp, answer questions, and help with labs and project. The bootcamp will end with few capstone project where you will apply your learnings to real life AI/ML challenges. This is a 24 weeks program and students are expected to spend 15 to 25 hours a week to master the material. Graduates of this program will learn critical skills for different AI/ML careers and will have access to career services throughout the program.

Bootcamp Objectives:

This bootcamp covers following Artificial Intelligence and Machine Learning areas:

  • Python & Its Libraries
    • General Introduction to the Python Language
    • How to display data (histograms, scatter plots, line plots etc.)
    • Matrix multiplication, Numpy functions, mathematics
    • Pandas
  • Machine Learning
    • Overview: AI and Machine Learning
    •  Linear Regression
    •  Gradient Descent
    •  Genetic Algorithms
    •  Advanced Genetic Algorithms
  • Models & Tests
    • Data Pre-Processing and Feature Engineering
    • Logistic Regression
    • Decision Trees
    • Demo: Building a Complete Model
  • Machine Learning Models
    • Regression Trees and Random Forests
    • Support Vector Machines
    • Ensemble Methods and Hyper-Parameter Search
    • Unsupervised Learning: Clustering
  • Neural Networks
    • Neural Networks
    • Deep Neural Networks and Backpropagation
    • Modularity of Neural Networks
    • Gradient-based Learning
    • Demo: Building a Neural Network in Tensorflow
    • Convolutional Neural Networks
    • Recurrent Neural Networks
    • Autoencoders
    • Generative Adversarial Networks
  • Natural Language Processor
    •  Introduction to NLP
    •  N-Grams
    •  NLTK
    •  Neural Networks in NLP 1
    •  Neural Networks in NLP 2
    •  RNNS in NLP
  • AWS/SQL
    • Databases
    • Cloud Computing
  • Azure AI Solution
    • Introducing Azure Cognitive Services
    • Creating Bots
    • Enhancing Bots with QnA Maker
    • Learn How to Create Language Understanding Functionality with LUIS
    • Enhancing Your Bots with LUIS
    • Integrate Cognitive Services with Bots and Agents

Certifications You Can Be Ready For:

This bootcamp will cover the material needed for following certifications:

  • AI-100

During the bootcamp, you will work with your Career Counselor and Mentor to develop specific certification exams that you should take and additional activities you need to do to pass those certifications. We don't anticipate our students to take these exams during the bootcamp

Jobs Roles:

Graduates of the bootcamp will learn critical skills needed for following careers:

  • Computer Scientist / Researcher
  • Data Engineer
  • Data Scientist
  • Business Intelligence Analyst
  • Business Intelligence Analyst
  • Business Intelligence Manager
  • Data Scientist
  • Data Engineer

Audience:

  • You are looking for a career in Artificial Intelligence and Machine Learning.
  • You’re a full-time student but hungry to learn more and expand your skill set.
  • You need to have at least an associate degree and commitment to work 15 to 25 hours a week over next 6 months to earn these skills

Prerequisites:

  • To ensure your success in this bootcamp , you should have experience with basic computer user skills, be able to complete tasks in a Microsoft® Windows® environment, should understand programming and how to browse, and access information on the Internet, and have basic knowledge of computing concepts.

 

Outline

More Information

More Information
Subjects Data Science
Lab Access No
Learning Style Self-Paced Learning
Learning Type BootCamp
Difficulty Intermediate
Course Duration Varies
Language English

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