Online Artificial Intelligence and Machine Learning Bootcamp
Learn leading-edge data and programming skills to transform industries with artificial intelligence and machine learning. Explore the 23-week Artificial Intelligence & Machine Learning Bootcamp from QuickStart.
Become an Artificial Intelligence and Machine Learning Professional in 23 Weeks
With integrations in healthcare, finance, technology, e-commerce, education, and beyond, the demand for IT professionals with artificial intelligence and machine learning competencies continues to grow, along with earning potential for individuals in the field. The Artificial Intelligence and Machine Learning Bootcamp from QuickStart offers an immersive and accelerated training platform for the next generation of technical professionals.
Artificial Intelligence and Machine Learning Bootcamp Learning Experience
VPAT 3rd Heading Level
Immersive Capstone Projects
We work with industry experts, hiring managers, and AI and machine learning professionals to curate a leading-edge curriculum. Your portfolio will demonstrate your understanding and proficiency in AI and machine learning competencies and highlight project experiences from the 23-week program.
Virtual Office Hours
Meet with industry-expert mentors throughout your bootcamp experience to identify your career interests, goals, and opportunities. Virtual office hours are also available for up to twelve months after program completion.
Career Support
QuickStart’s career services will support your career growth. Online learners will have access to resume building resources and mock interviews, as well as internship and job opportunities.
Bootcamp Courses
Through our partnerships with top technology organizations, we’re able to offer leading-edge IT training, and coursework designed for the future of the field. Each bootcamp course will prepare you with new skills and tools to pass top industry and career-relevant certifications.
VPAT Heading Level
VPAT Heading Level
Week 1-2
Insight by Industry Leaders and Introduction to Python and Python Libraries
Designed to help learners decode the mystery of artificial intelligence and its business applications, this introductory AI course provides an overview of concepts and workflows, machine learning and deep learning, and performance metrics.
Week 3-4
Introduction to Machine Learning
This practical course targets individuals who have introductory-level Python programming experience. The course will prepare students to apply efficient, well-known mining models to make sense of data using Python, one of the most popular programming languages among data scientists. Topics include data visualization, feature importance and selection, dimensionality reduction, clustering, and classification. All data sets used in this course are gathered as live-data or inspired by real-world domains that can benefit from machine learning.
Week 5-6
First Models and Tests
Explore the concepts of machine learning and understand how it’s transforming the digital world. Covering an exciting branch of artificial intelligence, this course will provide the skills you need to become a machine learning engineer and unlock the power of this emerging field.
Week 7-8
Common Machine Learning Models
This course focuses on the key mathematical concepts students will encounter in the study of machine learning and is designed to reinforce key concepts students have learned previously. While not intended as a full, foundational math curriculum, this course will serve as a refresher for students who have not recently studied math.
Week 9-10
Neural Networks 1
Designed for the future of programming, this course covers the primary disruptors in the tech industry: machine learning and Python. This course will equip students with an understanding of the scope and application of machine learning, Python, complex logic and data structures, and machine learning processing.
This deep learning course with TensorFlow certification training is developed by industry leaders and aligned with the latest best practices. You’ll master deep learning concepts and models using Keras and TensorFlow frameworks, and implement deep learning algorithms, preparing you for a career as deep learning engineer.
Week 11-12
Neural Networks 2
This course focuses on the key mathematical concepts students will encounter in the study of machine learning and is designed to reinforce key concepts students have learned previously. While not intended as a full, foundational math curriculum, this course will serve as a refresher for students who have not recently studied math.
Week 13-14
Natural Language Processing
The Natural Language Processing module covers concepts like statistical machine translation and neural models, deep semantic similarity models (DSSM), neural knowledge base embedding, deep reinforcement learning techniques, and more.
Week 15-16
AWS – SQL for Machine Learning
The course will cover the foundations of cloud computing and databases using AWS & SQL. This course will prepare students to deploy their machine learning models in a real-world context.
Week 17-19
Designing and Implementing an Azure AI Solution
This course will prepare students to create Azure AI solutions. Specifically, this course will cover how to build a customer support chatbot using artificial intelligence from the Microsoft Azure platform, including language comprehension and pre-built AI functionality in the Azure Cognitive Services.
Week 20-23
Capstone Project: Autonomous Cars
As part of this capstone project, students will design and train an artificial intelligence model to estimate the speed of a car based on dash cam footage and detect and recognize traffic signs. Students will apply course concepts and use a pretrain network to achieve project goals.
Virtual Hands-On Labs
Virtual Hands-on labs sharpen your skills and prepare you for real world scenarios.
Virtual Office Hours
On-demand bootcamps offer students up to five, 30-minute optional mentoring sessions if students need to ask questions or receive support on their capstone project.
Capstone Projects
Capstone projects will demonstrate to employers the skills and knowledge you acquired through the bootcamp.
Career Services
QuickStart’s career services assist students in their efforts in finding a role in Artificial Intelligence and Machine Learning through resume building, mock interviews, and internship and job opportunities access.
Annual Course Access
With any learning track, students have 12 months’ access to 100+ courses.
On-Demand AI & Machine Learning Bootcamp
$1,900*
Develop the artificial intelligence (AI) and machine learning (ML) skills to prepare for a dynamic career in healthcare, finance, technology, e-commerce, education and beyond.
Learn from Industry Experts
Our instructors have years of experience in information technology and AI and Machine Learning. With the support of our instructors, you will develop the framework to solve problems AI and machine learning professionals face daily.
Jeff Lund
Cybersecurity, AI & ML, and Cloud Engineering Instructor
Jeff is an experienced Senior Data Engineer with a history of working in ETL, data warehouse development, data analysis, and data visualization in various industries; financial, manufacturing, and medical fields. Lund has a diverse technical background, sound deductive reasoning, and analytical thought. His specialties also include Microsoft Power BI (DAX), dashboard development and deployment, SISS, SSAS, SSRS, and more.
QuickStart's Artificial Intelligence and Machine Learning Bootcamp prepares students for successful IT careers. We pride ourselves on helping students achieve their career goals by empowering them with applied and in-demand skills and certifications.
Portfolio
VPAT 3rd Heading Level
VPAT 4th Heading Level
Building
Real World
Projects
Virtual Office
Hours
Learn Top Artificial Intelligence and Machine Learning Skills
Study industry-aligned competencies and develop skills through virtual hands-on projects
Earn Employer-Aligned Certifications
Master the skills to pass top AI and machine learning certifications
Start Your New Career Path
Complete the program prepared for an entry-level artificial intelligence and machine learning role and equipped with career resources from QuickStart