Find the Program Option that Works For You
Full-time and part-time and flexible pathway options available remotely.
Full-time Intensive Bootcamps
Study in a highly structured intensive bootcamp. Attendance is required and projects have deadlines.
9-12 months
Mon – Fri meetings START DATES
21 Jan 2025 • 25 Mar 2025
Apply now
Part-time Intensive Bootcamps
Study part-time in a highly structured intensive bootcamp. Attendance is required and projects have deadlines.
15-24 months
Tues/Thurs meetings START DATES
21 Jan 2025 • 25 Mar 2025
Apply now
Part-time Professional Flex​
Study on a part-time basis with somewhat flexible options on course meetings.
No project deadlines.
Up to 24 months
Saturday meetings START DATES
21 Jan 2025 • 25 Mar 2025
Apply now
Join a specific cohort Virtual meetings 1-3x per day, Learn in a community 100% hands-on learning Accountability & motivation.
Stack courses back to back OR take breaks between courses Duration estimates are based on back-to-back courses
Set Yourself on a Path for Top Machine Learning Jobs
Companies are pretty clear about what they want in their candidates.
You should be asking the question, “How does our curriculum align with the job description of companies I want to work for one day?”

Here’s a list of companies or types or companies looking for candidates with the specific skill set and experience that aligns with this program’s curriculum:
Healthcare providers • Insurance industry • Tech
Financial industry • Consulting • Automotive
DISH Network L.L.C.
Englewood, CO Machine Learning Engineer Minimum skills, experience and requirements
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Foot Locker Corporate Services, Inc. Tampa, FL Mach Minimum skills, experience and requirements
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JP Morgan Chase Bank, N.A. New York, NY Machine Learning Engineer Minimum skills, experience and requirements
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  • Lorem ipsum dolor sit amet, consectetuer adipiscing elit, sed diam nibh euismod tincidunt ut laoreet dolore magna aliquam erat volutpat.
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  • Lorem ipsum dolor sit amet, consectetuer adipiscing elit, sed diam nibh euismod tincidunt ut laoreet dolore magna aliquam erat volutpat.
Languages and Tools
Languages and tools covered throughout the full stack developer program.
image_fx_ (84)
Machine Learning Engineer
Pathway Courses
Courses and programs that make up the Full Stack Pathway include:
This course focuses on software engineering principles, as well as strong fundamentals in data structures and algorithms.

Learners will cover fundamental computer programming concepts including arrays, strings, algorithms, pointers, hash data structures, and software architecture.

This course gives you a solid foundation in computer programming fundamentals!
Apply now
This intermediate level course is designed to equip learners with practical skills and knowledge to advance their careers in data science.

Learners will achieve intermediate competency in Python, understand frameworks and database design, and grasp basic design patterns, all while honing their debugging skills in Jupyter Notebooks.
Apply now
Complete end-to-end data science projects, focusing on applied regression and prediction models. Work with traffic models for data integration, pre-processing, model training, evaluation, and comparison analysis. Understand SMOTE, ADASYN, and GANs. Understand the impact and implications of fraud detection models on a business.
Apply now
Learners select an area of specialty for data science: finance, ecommerce, medtech, biotech, etc. They then specialize in this area by completing two projects, one of which is a capstone project of choice.


This is definitely not an introductory track. Minimum requirements are strictly enforced!
Apply now
How Learning Works What you will be doing throughout the program.
Projects
We train to standards set by Silicon Valley for full stack developers. This means the level is much higher than that of bootcamps, and higher than that of CS or data science degrees. Your specialty is being an elite developer at a world-renown level.
Excercises
Each week, participants will have 1-5 coding exercises to complete. These are accessed through our software and your code is auto-graded to ensure it is up to speed and functioning. This is part of the learning process. We have over 800 exercises in our library with thousands of test cases!
Role Play
We train to standards set by Silicon Valley for full stack developers. This means the level is much higher than that of bootcamps, and higher than that of CS or data science degrees. Your specialty is being an elite developer at a world-renown level.
Gamification
We train to standards set by Silicon Valley for full stack developers. This means the level is much higher than that of bootcamps, and higher than that of CS or data science degrees. Your specialty is being an elite developer at a world-renown level.
What Sets Us Apart
Silicon Valley Standards
We train to standards set by Silicon Valley for full stack developers. This means the level is much higher than that of bootcamps, and higher than that of CS or data science degrees. Your specialty is being an elite developer at a world-renown level.
Technical Skills & Knowledge
Thanks to the depth and breadth of our program curriculum, you acquire a level of technical skills and knowledge that learners in other programs or bootcamps simply never acquire.
Depth of Technical Portfolio
Learners develop a technical portfolio that has depth and shows the extent of their technical skills and ability to handle databases, deployments, and development. Neither bootcamps nor CS degrees offer this.
Strong Back-end Skills
The vast majority of bootcamps don’t cover data structures or algorithms. CS degrees don’t cover hands-on application of theory or actually developing software architecture. We cover both and your strong back-end skills and experience with databases, data structures, and algorithms will set you apart from other candidates.
Why pay more, study less, and then spend 6-12 months trying to find a job (at a bootcamp or CS degree), when you could pay less, study more, and give yourself a much higher chance of gaining employment at (or before graduation)?

Unlike others, our learning model is backed by significant learning science and the learning experience is rooted in learning by doing and in a learning community.
Our employment rates are within 2 months of graduating, not 6 or 12, and most learners gain employment before they finish the curriculum.
We’re way cheaper than other options, and offer flexible learning opportunities.

We list some of the reasons why you should consider Qwasar:
1
Train to Silicon Valley standards
2
MUCH greater depth of fundamentals, data structures, algorithms
3
Freedom and flexibility in learning – i.e. time to learn what you don’t understand
4
Hugely diverse and welcoming learning community
5
Depth and breadth of languages, technical skills, and frameworks covered
6
Extensive technical interview, resume, and profile training/resources
7
Industry-leading coding and learning management platform
8
Access to alumni network for referrals to jobs
image_fx_ (67)
Real Employer Partnerships and High Employment Rates
Qwasar works directly with employers and hiring partners who recruit from our programs. Partners include LinkedIn, Capgemini, Workday, Claris, Accenture, Crowdstrike, and more.
Many employers have reached out to us to recruit directly from our programs. Qwasar is recognized in industry for its superior programs, curriculum, and graduates, and as a result, our learners often have significantly better opportunities for recruitment into jobs, internships, and apprenticeships compared to bootcamp grads.
Learn more
image_fx_ (15)
What to Expect
At Qwasar, you are responsible for your learning, just as you would be responsible for your work in a job. Problem-based learning involves finding, trying, and building solutions. With no single source of truth and no answers provided, it’s up to you to figure out how to make your code work, when and how to ask for help, and how to successfully build software in a team.
qwasar dots 1
Qwasar Collage of Engineering • Qwasar College of Engineering • Qwasar College of Engineeringwasar Collage of Engineering • Qwasar Collage of Engineering
Attend an Information Session
Join us for a session on what learning is like at Qwasar.
Sign up to learn more about our program options and how each cohort works:
Sign up
Join an Outstanding Learning Community!
Joining Qwasar is about joining a learning community. Learning on your own is hard, watching online videos can be boring, and sharing your learning journey (and certainly lots of jokes) with others is important.

Our platform and Discord chat, as well as our program meetings, are all about building and participating in the community.

When you join our programs, you have access to: Learn more
Photo
Group debugging session
Small group sessions
Virtual coworking rooms
Sophisticated peer code review system
Coding collaboration workshops and pair programming
Our lively Discord online chat
with a tech news section and a meme section
Check Job Descriptions Our Curriculum Aligns to Employer Demands Our curriculum is based on what employers are looking for in data scientists. Other programs don’t cover the minimal level required by Tier 1 tech companies.
Hands-on experience designing and implementing data architecture, able to contribute to architecture discussions Proven experience with programming languages/tools and working with large and complex data sets (Python, PyTorch, SQL, Jupyter, TensorFlow, etc.) Experience with the data management lifecycle, i.e. collection, cleaning, storage, analysis, etc. Proven experience using data to solve business challenges (choosing data, training models, analyzing algorithm options, communicating solutions) Good at structured problem solving to efficiently debug code and to anticipate potential problems Habituated to collaborating to solve problems, pair programming, and communicating in-person and remotely
Qwasar Bootcamps CS Degree
Limited
Limited Depends by student Limited
VIDEO
Transitioning Careers? Join the Club!
Join now
Qwasar is a hive of career switchers. We have people who are or were: baristas, retail associates, medical assistants, accountants, professional musicians, biomedical researchers, teachers, finance directors, IT support professionals, network engineers, mechanical engineers, college students in non-technical fields, business analysts, writers, translators, and more.
We also have career returners and veterans in the community.
Chances are high that you’ve got transferable skills. Here’s an example we put together for people transitioning from accounting:
image_fx_ - 2024-11-19T174827.317
View Our Master’s in Computer Science
Discover our modern Master’s of Science in Computer Science degree program.
Photo
Student Experience vs. Others
How do Qwasar programs compare to other tech training options out there? Find out how we stack up.
Learn more
image_fx_ - 2024-11-19T175142.895
Explore Our Courses
From Rust to C++, full stack, AI, or data science, explore our shorter certificate courses.
PHOTO
image_fx_ - 2024-10-22T195210.834
AI/Machine Learning Pathway
Launch yourself into machine learning engineer jobs at top-tier tech companies with confidence, technical skills and a strong portfolio.
Find the Program Option that Works For You
Full-time and part-time and flexible pathway options available remotely.
Full-time Intensive Bootcamps
Study in a highly structured intensive bootcamp. Attendance is required and projects have deadlines.
9-12 months
Mon – Fri meetings
START DATES
21 Jan 2025 • 25 Mar 2025
Apply now
Part-time Intensive Bootcamps
Study part-time in a highly structured intensive bootcamp. Attendance is required and projects have deadlines.
15-24 months
Tues/Thurs meetings
START DATES
21 Jan 2025 • 25 Mar 2025
Apply now
Part-time Professional Flex​
Study on a part-time basis with somewhat flexible options on course meetings.
No project deadlines.
Up to 24 months
Saturday meetings
START DATES
21 Jan 2025 • 25 Mar 2025
Apply now
Join a specific cohort Virtual meetings 1-3x per day, Learn in a community 100% hands-on learning Accountability & motivation.
Stack courses back to back OR take breaks between courses Duration estimates are based on back-to-back courses
Set Yourself on a Path for Top Machine Learning Jobs
Companies are pretty clear about what they want in their candidates.
You should be asking the question, “How does our curriculum align with the job description of companies I want to work for one day?” Here’s a list of companies or types or companies looking for candidates with the specific skill set and experience that aligns with this program’s curriculum:
Healthcare providers • Insurance industry • Financial industry • Consulting • Tech • Automotive
Apple
San Francisco Bay Area, CA Machine Learning Engineer Minimum skills, experience and requirements
  • Proficient in C/C++, CUDA or other GPGPU
  • Expertise in at least one deep learning framework, eg: PyTorch, TensorFlow, or Jax
  • Solid foundation in 3D graphics and computer vision
  • Understanding of machine learning technology
  • Strong programming, debugging, and design skills
  • Passion on cutting edge AI and spatial computing technologies and product delivery
  • Be able to work independently and with others
  • Excellent problem-solving, critical thinking, and communication skills
AWS
Seattle, WA Machine Learning Engineer, Marketing Minimum skills, experience and requirements
  • Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse
  • Master's degree and 0-3 years of CS, CE, ML or related field experience
  • Experience programming in Java, C++, Python or related language
  • Lead the design, development, deployment, and innovation of advanced science models in the strategic area of marketing measurement and optimization.
  • Partner with scientists, economists, engineers, and product leaders to break down complex business problems into science approaches.
  • Understand and mine the large amount of data, prototype and implement new learning algorithms and prediction techniques to improve long-term causal estimation approaches.
  • Design, build, and deploy effective and innovative ML solutions to improve components of our ML and causal inference pipelines.
Peloton
New York, NY Machine Learning Engineer Minimum skills, experience and requirements
  • Masters in Machine Learning, AI, Computer Science, Mathematics, etc.
  • 1-2 years of experience developing solutions using supervised and unsupervised machine learning techniques in natural language processing applications.
  • Understanding of transformer models, GenAI including few shot learning, fine tuning, guardrailing and benchmarking etc
  • Understanding of various neural network architectures specifically applied to solve NLP problems, such as CNN/LSTM/GRU and transformer based architectures.
  • Should have a deep understanding of word embeddings, BERT, GPT, text classifiers, transfer learning, text mining and text labeling concepts.
  • Experience with multiple technologies from the following list - Tensorflow, PyTorch, spaCy, Sagemaker, MLFlow, Airflow, TensorBoard, Anaconda, Jupyter, Kubernetes
  • Experience with building personal digital assistants or chatbots
  • Experience with building search platforms, personalizing search and discovery
  • Worked with automatic speech recognition (ASR)
Languages and Tools
Languages and tools covered throughout the full stack developer program.
image_fx_ (84)
Machine Learning Engineer Pathway Courses
Courses and programs that make up the Full Stack Pathway include:
This course focuses on software engineering principles, as well as strong fundamentals in data structures and algorithms.

Learners will cover fundamental computer programming concepts including arrays, strings, algorithms, pointers, hash data structures, and software architecture.

This course gives you a solid foundation in computer programming fundamentals!
Apply now
This intermediate level course is designed to equip learners with practical skills and knowledge to advance their careers in data science.

Learners will achieve intermediate competency in Python, understand frameworks and database design, and grasp basic design patterns, all while honing their debugging skills in Jupyter Notebooks.
Apply now
Complete end-to-end data science projects, focusing on applied regression and prediction models. Work with traffic models for data integration, pre-processing, model training, evaluation, and comparison analysis. Understand SMOTE, ADASYN, and GANs. Understand the impact and implications of fraud detection models on a business.
Apply now
Learners select an area of specialty for data science: finance, ecommerce, medtech, biotech, etc. They then specialize in this area by completing two projects, one of which is a capstone project of choice.


This is definitely not an introductory track. Minimum requirements are strictly enforced!
Apply now
How Learning Works What you will be doing throughout the program.
Projects
We train to standards set by Silicon Valley for full stack developers. This means the level is much higher than that of bootcamps, and higher than that of CS or data science degrees. Your specialty is being an elite developer at a world-renown level.
Excercises
Each week, participants will have 1-5 coding exercises to complete. These are accessed through our software and your code is auto-graded to ensure it is up to speed and functioning. This is part of the learning process. We have over 800 exercises in our library with thousands of test cases!
Role Play
We train to standards set by Silicon Valley for full stack developers. This means the level is much higher than that of bootcamps, and higher than that of CS or data science degrees. Your specialty is being an elite developer at a world-renown level.
Gamification
We train to standards set by Silicon Valley for full stack developers. This means the level is much higher than that of bootcamps, and higher than that of CS or data science degrees. Your specialty is being an elite developer at a world-renown level.
What Sets Us Apart
Silicon Valley Standards
We train to standards set by Silicon Valley for full stack developers. This means the level is much higher than that of bootcamps, and higher than that of CS or data science degrees. Your specialty is being an elite developer at a world-renown level.
Technical Skills & Knowledge
Thanks to the depth and breadth of our program curriculum, you acquire a level of technical skills and knowledge that learners in other programs or bootcamps simply never acquire.
Strong Back-end Skills
The vast majority of bootcamps don’t cover data structures or algorithms. CS degrees don’t cover hands-on application of theory or actually developing software architecture. We cover both and your strong back-end skills and experience with databases, data structures, and algorithms will set you apart from other candidates.
Depth of Technical Portfolio
Learners develop a technical portfolio that has depth and shows the extent of their technical skills and ability to handle databases, deployments, and development. Neither bootcamps nor CS degrees offer this.
Why pay more, study less, and then spend 6-12 months trying to find a job (at a bootcamp or CS degree), when you could pay less, study more, and give yourself a much higher chance of gaining employment at (or before graduation)?

Unlike others, our learning model is backed by significant learning science and the learning experience is rooted in learning by doing and in a learning community.
Our employment rates are within 2 months of graduating, not 6 or 12, and most learners gain employment before they finish the curriculum.
We’re way cheaper than other options, and offer flexible learning opportunities.

We list some of the reasons why you should consider Qwasar:
1
Train to Silicon Valley standards
2
MUCH greater depth of fundamentals, data structures, algorithms
3
Freedom and flexibility in learning – i.e. time to learn what you don’t understand
4
Hugely diverse and welcoming learning community
5
Depth and breadth of languages, technical skills, and frameworks covered
6
Extensive technical interview, resume, and profile training/resources
7
Industry-leading coding and learning management platform
8
Access to alumni network for referrals to jobs
image_fx_ (67)
Real Employer Partnerships and High Employment Rates
Qwasar works directly with employers and hiring partners who recruit from our programs. Partners include LinkedIn, Capgemini, Workday, Claris, Accenture, Crowdstrike, and more.
Many employers have reached out to us to recruit directly from our programs. Qwasar is recognized in industry for its superior programs, curriculum, and graduates, and as a result, our learners often have significantly better opportunities for recruitment into jobs, internships, and apprenticeships compared to bootcamp grads.
Learn more
What to Expect
At Qwasar, you are responsible for your learning, just as you would be responsible for your work in a job. Problem-based learning involves finding, trying, and building solutions. With no single source of truth and no answers provided, it’s up to you to figure out how to make your code work, when and how to ask for help, and how to successfully build software in a team.
image_fx_ (99)
qwasar dots 1
• Qwasar College of Engineering • Qwasar College of Engineering • Qwasar College of Engineering • Qwasar College of Engineering • Qwasar College of Engineering • Qwasar College of Engineering • Qwasar College of Engineering
Attend an Information Session
Join us for a session on what learning is like at Qwasar.
Sign up to learn more about our program options and how each cohort works:
Join an Outstanding Learning Community!
Joining Qwasar is about joining a learning community. Learning on your own is hard, watching online videos can be boring, and sharing your learning journey (and certainly lots of jokes) with others is important.

Our platform and Discord chat, as well as our program meetings, are all about building and participating in the community.

When you join our programs, you have access to:
Learn more
image_fx_ (15)
Group debugging session
Small group sessions
Virtual coworking rooms
Sophisticated peer code review system
Coding collaboration workshops and pair programming
Our lively Discord online chat
with a tech news section and a meme section
Check Job Descriptions Our Curriculum Aligns to Employer Demands Our curriculum is based on what employers are looking for in data scientists.
Other programs don’t cover the minimal level required by Tier 1 tech companies.
Hands-on experience designing and implementing data architecture, able to contribute to architecture discussions Proven experience with programming languages/tools and working with large and complex data sets (Python, PyTorch, SQL, Jupyter, TensorFlow, etc.) Experience with the data management lifecycle, i.e. collection, cleaning, storage, analysis, etc. Proven experience using data to solve business challenges (choosing data, training models, analyzing algorithm options, communicating solutions) Good at structured problem solving to efficiently debug code and to anticipate potential problems Habituated to collaborating to solve problems, pair programming, and communicating in-person and remotely
Qwasar Bootcamps CS Degree
Limited
Limited Depends by student Limited
VIDEO
Transitioning Careers? Join the Club!
Join now
Qwasar is a hive of career switchers. We have people who are or were: baristas, retail associates, medical assistants, accountants, professional musicians, biomedical researchers, teachers, finance directors, IT support professionals, network engineers, mechanical engineers, college students in non-technical fields, business analysts, writers, translators, and more.
We also have career returners and veterans in the community.
Chances are high that you’ve got transferable skills. Here’s an example we put together for people transitioning from accounting:
image_fx_ - 2024-11-19T175142.895
Explore Our Courses
From Rust to C++, full stack, AI, or data science, explore our shorter certificate courses.
Photo
Student Experience vs. Others
How do Qwasar programs compare to other tech training options out there? Find out how we stack up.
Learn more
image_fx_ (78)
Silicon Valley Standards
We’re the only program to train students to Silicon Valley programming standards. Understand Valley standards.
PHOTO
image_fx_ - 2024-10-22T195210.834
AI/Machine Learning Pathway
Launch yourself into machine learning engineer jobs at top-tier tech companies with confidence, technical skills and a strong portfolio.

Find the Program Option that Works For You

Full-time and part-time and flexible pathway options available remotely.
Full-time
Intensive Bootcamps
Study in a highly structured intensive bootcamp. Attendance is required and projects have deadlines.
9-12 months
Mon – Fri meetings
START DATES
21 Jan 2025 • 25 Mar 2025
Apply now
Part-time
Intensive Bootcamps
Study part-time in a highly structured intensive bootcamp. Attendance is required and projects have deadlines.
15-24 months
Tues/Thurs meetings
START DATES
21 Jan 2025 • 25 Mar 2025
Apply now
Part-time
Professional Flex​
Study on a part-time basis with somewhat flexible options on course meetings.
No project deadlines.
Up to 24 months
Saturday meetings
START DATES
21 Jan 2025 • 25 Mar 2025
Apply now
Join a specific cohort Virtual meetings 1-3x per day, Learn in a community 100% hands-on learning Accountability & motivation.
Stack courses back to back OR take breaks between courses Duration estimates are based on back-to-back courses
Set Yourself on a Path for

Top Machine Learning Jobs

Companies are pretty clear about what they want in their candidates.
You should be asking the question, “How does our curriculum align with the job description of companies I want to work for one day?” Here’s a list of companies or types or companies looking for candidates with the specific skill set and experience that aligns with this program’s curriculum:
Healthcare providers • Insurance industry • Financial industry • Consulting • Tech • Automotive
Apple
San Francisco Bay Area, CA
Machine Learning Engineer Minimum skills, experience and requirements
  • Proficient in C/C++, CUDA or other GPGPU
  • Expertise in at least one deep learning framework, eg: PyTorch, TensorFlow, or Jax
  • Solid foundation in 3D graphics and computer vision
  • Understanding of machine learning technology
  • Strong programming, debugging, and design skills
  • Passion on cutting edge AI and spatial computing technologies and product delivery
  • Be able to work independently and with others
  • Excellent problem-solving, critical thinking, and communication skills
AWS
Seattle, WA
Machine Learning Engineer, Marketing Minimum skills, experience and requirements
  • Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse
  • Master's degree and 0-3 years of CS, CE, ML or related field experience
  • Experience programming in Java, C++, Python or related language
  • Lead the design, development, deployment, and innovation of advanced science models in the strategic area of marketing measurement and optimization.
  • Partner with scientists, economists, engineers, and product leaders to break down complex business problems into science approaches.
  • Understand and mine the large amount of data, prototype and implement new learning algorithms and prediction techniques to improve long-term causal estimation approaches.
  • Design, build, and deploy effective and innovative ML solutions to improve components of our ML and causal inference pipelines.
Peloton
New York, NY
Machine Learning Engineer Minimum skills, experience and requirements
  • Masters in Machine Learning, AI, Computer Science, Mathematics, etc.
  • 1-2 years of experience developing solutions using supervised and unsupervised machine learning techniques in natural language processing applications.
  • Understanding of transformer models, GenAI including few shot learning, fine tuning, guardrailing and benchmarking etc
  • Understanding of various neural network architectures specifically applied to solve NLP problems, such as CNN/LSTM/GRU and transformer based architectures.
  • Should have a deep understanding of word embeddings, BERT, GPT, text classifiers, transfer learning, text mining and text labeling concepts.
  • Experience with multiple technologies from the following list - Tensorflow, PyTorch, spaCy, Sagemaker, MLFlow, Airflow, TensorBoard, Anaconda, Jupyter, Kubernetes
  • Experience with building personal digital assistants or chatbots
  • Experience with building search platforms, personalizing search and discovery
  • Worked with automatic speech recognition (ASR)
Languages and Tools
Languages and tools covered throughout the full stack developer program.
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Machine Learning Engineer Pathway Courses

Courses and programs that make up the Full Stack Pathway include:
This course focuses on software engineering principles, as well as strong fundamentals in data structures and algorithms.

Learners will cover fundamental computer programming concepts including arrays, strings, algorithms, pointers, hash data structures, and software architecture.

This course gives you a solid foundation in computer programming fundamentals!
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This intermediate level course is designed to equip learners with practical skills and knowledge to advance their careers in data science.

Learners will achieve intermediate competency in Python, understand frameworks and database design, and grasp basic design patterns, all while honing their debugging skills in Jupyter Notebooks.
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Complete end-to-end data science projects, focusing on applied regression and prediction models. Work with traffic models for data integration, pre-processing, model training, evaluation, and comparison analysis. Understand SMOTE, ADASYN, and GANs. Understand the impact and implications of fraud detection models on a business.
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Learners select an area of specialty for data science: finance, ecommerce, medtech, biotech, etc. They then specialize in this area by completing two projects, one of which is a capstone project of choice.


This is definitely not an introductory track. Minimum requirements are strictly enforced!
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How Learning Works

What you will be doing throughout the program.
Projects
We train to standards set by Silicon Valley for full stack developers. This means the level is much higher than that of bootcamps, and higher than that of CS or data science degrees. Your specialty is being an elite developer at a world-renown level.
Excercises
Each week, participants will have 1-5 coding exercises to complete. These are accessed through our software and your code is auto-graded to ensure it is up to speed and functioning. This is part of the learning process. We have over 800 exercises in our library with thousands of test cases!
Role Play
We train to standards set by Silicon Valley for full stack developers. This means the level is much higher than that of bootcamps, and higher than that of CS or data science degrees. Your specialty is being an elite developer at a world-renown level.
Gamification
We train to standards set by Silicon Valley for full stack developers. This means the level is much higher than that of bootcamps, and higher than that of CS or data science degrees. Your specialty is being an elite developer at a world-renown level.

What Sets Us Apart

Silicon Valley Standards
We train to standards set by Silicon Valley for full stack developers. This means the level is much higher than that of bootcamps, and higher than that of CS or data science degrees. Your specialty is being an elite developer at a world-renown level.
Technical Skills & Knowledge
Thanks to the depth and breadth of our program curriculum, you acquire a level of technical skills and knowledge that learners in other programs or bootcamps simply never acquire.
Strong Back-end Skills
The vast majority of bootcamps don’t cover data structures or algorithms. CS degrees don’t cover hands-on application of theory or actually developing software architecture. We cover both and your strong back-end skills and experience with databases, data structures, and algorithms will set you apart from other candidates.
Depth of Technical Portfolio
Learners develop a technical portfolio that has depth and shows the extent of their technical skills and ability to handle databases, deployments, and development. Neither bootcamps nor CS degrees offer this.
Why pay more, study less, and then spend 6-12 months trying to find a job (at a bootcamp or CS degree), when you could pay less, study more, and give yourself a much higher chance of gaining employment at (or before graduation)?

Unlike others, our learning model is backed by significant learning science and the learning experience is rooted in learning by doing and in a learning community.
Our employment rates are within 2 months of graduating, not 6 or 12, and most learners gain employment before they finish the curriculum.
We’re way cheaper than other options, and offer flexible learning opportunities.

We list some of the reasons why you should consider Qwasar:

1

Train to Silicon Valley standards

2

MUCH greater depth of fundamentals, data structures, algorithms

3

Freedom and flexibility in learning – i.e. time to learn what you don’t understand

4

Hugely diverse and welcoming learning community

5

Depth and breadth of languages, technical skills, and frameworks covered

6

Extensive technical interview, resume, and profile training/resources

7

Industry-leading coding and learning management platform

8

Access to alumni network for referrals to jobs
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Real Employer Partnerships and High Employment Rates

Qwasar works directly with employers and hiring partners who recruit from our programs. Partners include LinkedIn, Capgemini, Workday, Claris, Accenture, Crowdstrike, and more.
Many employers have reached out to us to recruit directly from our programs. Qwasar is recognized in industry for its superior programs, curriculum, and graduates, and as a result, our learners often have significantly better opportunities for recruitment into jobs, internships, and apprenticeships compared to bootcamp grads.
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What to Expect

At Qwasar, you are responsible for your learning, just as you would be responsible for your work in a job. Problem-based learning involves finding, trying, and building solutions. With no single source of truth and no answers provided, it’s up to you to figure out how to make your code work, when and how to ask for help, and how to successfully build software in a team.
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• Qwasar College of Engineering • Qwasar College of Engineering • Qwasar College of Engineering • Qwasar College of Engineering • Qwasar College of Engineering • Qwasar College of Engineering • Qwasar College of Engineering

Attend an Information Session

Join us for a session on what learning is like at Qwasar.
Sign up to learn more about our program options and how each cohort works:
Join an Outstanding Learning Community!
Joining Qwasar is about joining a learning community. Learning on your own is hard, watching online videos can be boring, and sharing your learning journey (and certainly lots of jokes) with others is important.

Our platform and Discord chat, as well as our program meetings, are all about building and participating in the community.

When you join our programs, you have access to:
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Group debugging session
Small group sessions
Virtual coworking rooms
Sophisticated peer code review system
Coding collaboration workshops and pair programming
Our lively Discord online chat
with a tech news section and a meme section

Check Job Descriptions

Our Curriculum Aligns to Employer Demands

Our curriculum is based on what employers are looking for in data scientists.
Other programs don’t cover the minimal level required by Tier 1 tech companies.
Hands-on experience designing and implementing data architecture, able to contribute to architecture discussions Proven experience with programming languages/tools and working with large and complex data sets (Python, PyTorch, SQL, Jupyter, TensorFlow, etc.) Experience with the data management lifecycle, i.e. collection, cleaning, storage, analysis, etc. Proven experience using data to solve business challenges (choosing data, training models, analyzing algorithm options, communicating solutions) Good at structured problem solving to efficiently debug code and to anticipate potential problems Habituated to collaborating to solve problems, pair programming, and communicating in-person and remotely
Qwasar
Bootcamps
CS Degree
Limited
Limited Depends by student Limited
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Transitioning

Careers?

Join the Club!

Join now
Qwasar is a hive of career switchers. We have people who are or were: baristas, retail associates, medical assistants, accountants, professional musicians, biomedical researchers, teachers, finance directors, IT support professionals, network engineers, mechanical engineers, college students in non-technical fields, business analysts, writers, translators, and more.
We also have career returners and veterans in the community.
Chances are high that you’ve got transferable skills. Here’s an example we put together for people transitioning from accounting:
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View Our Master’s in Computer Science

Discover our modern Master’s of Science in Computer Science degree program.
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Explore Our Courses

From Rust to C++, full stack, AI, or data science, explore our shorter certificate courses.
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Student Experience vs. Others

How do Qwasar programs compare to other tech training options out there? Find out how we stack up.
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AI/Machine Learning Pathway
Launch yourself into machine learning engineer jobs at top-tier tech companies with confidence, technical skills and a strong portfolio.
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