Part-Time
AI & Machine Learning Bootcamp
AI & Machine Learning Bootcamp
Jun. 09, 2025
- Dec. 04, 2025
Mon / Wed / Thu
8:00pm - 11:00pm ET
Open
Apply by Jun. 03, 2025
Online AI & Machine Learning Bootcamp
Gain skills and experience to specialize in this rapidly growing data science field with the live online Artificial Intelligence & Machine Learning Bootcamp–all in 26 weeks part-time.
26
Weeks
4.8
Rating
Online
Format
06/03
Apply By
06/09
Start Date
Upcoming Cohorts
Why Learn Artificial Intelligence and Machine Learning with Fullstack Academy?
Specialized Tech Skills + Career Support.
The Fullstack Academy Artificial Intelligence & Machine Learning bootcamp provides current and prospective data professionals with the in-demand skills to specialize in this lucrative, dynamic, and rapidly-growing field.
Over 26 weeks part-time, students will learn practical and theoretical machine learning concepts using real-world tools—graduating with the working knowledge and experience needed to qualify for a range of data roles, including those concentrated in AI. Students will also receive professional career coaching support for up to a year following graduation to help build and maintain an ideal, specialized career path in the industry.
Gain Experience Using Real-World Tools
Make Your Mark in AI
Train With AI & Machine Learning Professionals
Graduate With AI-Concentrated Data Skills
Join a Powerful Alumni Network
Receive Dedicated Career Coaching
Artificial Intelligence and Machine Learning Skill Requirements
As the applications of artificial intelligence increase across all major industries, tech professionals with concentrated AI and machine learning experience are more in demand than ever before. The PwC 2024 Global AI Jobs Barometer reports that the demand for AI jobs is growing 3.5x faster than all other jobs globally. Specialization in this rapidly growing field may require different skills—depending on your unique professional experience and goals—but successful AI & machine learning professionals are typically proficient in many of the following concepts and technologies.
Data science processes, data wrangling, data exploration, and hypothesis building and testing
Applied data science with Python
Machine learning models and accuracy metrics
Deep Learning concepts and their relevant applications and tools, such as Keras, Python, and TensorFlow
Text-to-speech conversion with automated speech recognition
Deep Neural Networks
Additionally, those looking to enter an AI and machine learning specialty should possess a combination of knowledge, skills, and professional experience in data analytics or a related data field.
Learn more about who our bootcamp is for and how to build or expand a lucrative data career below.
Top AI & Machine Learning Careers and Salaries
While demand for data scientists, in general, is slated to increase over 36% through 2033—much faster than the average growth rate of all professions—AI & machine learning specialized roles are a huge contributing factor to the expansion of the data science industry (Bureau of Labor Statistics). That means specialized roles in artificial intelligence are constantly growing and evolving along with the industry.
With these professionals in high demand, the data industry offers a range of opportunities to those who’ve gained working experience as well as specialized knowledge in the field.
Browse the table below to see how these roles compare, then read on to discover the right career path for you.
| Role | Salary* |
|---|---|
| Natural Language Processing Engineer | $155,598 |
| Artificial Intelligence Engineer | $153,174 |
| Data Scientist - AI/ML | $160,432 |
| Machine Learning Engineer | $165,897 |
| Machine Learning Researcher | $233,184 |
*US Median Salary Data, May 2023, ZipRecruiter
AI Bootcamp Tuition and Payment Options
Fullstack Academy is committed to making tech education more accessible, which is why we offer several payment options to help you invest in your bootcamp education.
Tuition for the Fullstack Academy Part-Time AI and Machine Learning Bootcamp will increase to $9,995 for cohorts starting in July 2025 and beyond. To lock in the current tuition rate, apply and enroll in the June 2025 cohort by June 3, 2025.
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For a limited time, apply and enroll in an upcoming June 2025 cohort by June 3, 2025 to receive the New Beginnings Discount (a $1,000 value).
You may also be eligible to save $1,000 on tuition with the Early Enrollment Discount. Contact your Student Advisor for details.
Tuition: $7,950 New Beginnings Discount: -$1,000 Early Enrollment Discount: -$1,000 Total Tuition w/ Discounts: $5,950 A refundable deposit of $99, applied to your total tuition, is due at the time of enrollment. The deposit is refundable up until the end of the first week of classes.
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Pay for your bootcamp tuition in predictable installments with a personal loan. Monthly installment will vary based on approved interest rate.
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You may be eligible to pay for bootcamp using local/state government benefits based on where you live.
What You’ll Learn in the Fullstack Academy AI & Machine Learning Bootcamp
The part-time Artificial Intelligence and Machine Learning Bootcamp is divided into 7 units. Starting with programming fundamentals, you’ll quickly move into more advanced AI and machine learning concepts—with a real-world scenario-based project at the end of bootcamp to help you practically apply your skills.
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- Develop and execute Python programs for real-world applications.
- Learn essential Python data types and file-handling techniques.
- Learn and apply decision control structures, looping mechanisms, and argument types in Python.
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- Utilize Python libraries for data science and perform advanced data manipulation and analysis with NumPy and Pandas.
- Conduct hypothesis testing and statistical analysis, and implement data cleaning, transformation, and feature engineering techniques.
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- Understand and differentiate types of machine learning models.
- Apply supervised learning techniques to classification and regression problems.
- Develop and train machine learning models using Python packages.
- Evaluate and validate machine learning models using performance metrics.
- Apply machine learning models to real-world use cases.
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- Design and implement deep neural networks for image and text classification.
- Apply advanced optimization algorithms to enhance model training.
- Utilize transfer learning and object detection based on real-world use cases.
- Perform hyperparameter tuning and regularization for improved model accuracy.
- Develop sequential models for time-series and video data classification.
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Preprocess and transform text data for NLP tasks.
Build and implement NLP models for text classification and sentiment analysis.
Utilize word embeddings to enhance text representation in NLP models.
Develop and evaluate machine translation systems.
Implement advanced NLP models using sequence modeling and attention mechanisms.
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- Design and implement generative AI models for various applications.
- Understand and apply attention mechanisms in transformer models.
- Develop and fine-tune large language models (LLMs) for enhanced performance.
- Apply the LangChain framework to build generative AI applications.
- Optimize and evaluate generative AI models using hyperparameter tuning and benchmarking techniques.
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Enhance your skills by applying various AI & machine learning techniques to solve real-world challenges, using publicly available data sets.
Admissions Process
The Fullstack Academy AI & Machine Learning Bootcamp is designed for professionals and recent graduates looking to grow their skills in this evolving field.
Required Qualifications
Are at least 18 years or older
Have earned a high school diploma or GED equivalent
Have prior knowledge or experience in programming and/or intermediate mathematics (including linear algebra, probability and statistics)
Recommended Qualifications
While not required for admission, at least 2+ years of formal work experience is recommended
Not sure how your skills stack up?
Schedule a call with a Student Advisor to learn more about eligibility for the AI & Machine Learning Bootcamp.
Ready to get started?
Apply to study at the Fullstack Academy AI & Machine Learning Bootcamp! Here’s how:
- Fill out our online application form
- Schedule a call with your Student Advisor
- Receive an entrance decision
A Day in the Life of an AI Bootcamp Student
In the part-time Artificial Intelligence and Machine Learning Bootcamp, you’ll experience a mix of live instruction, workshops, and projects to help you develop and hone your skills in 26 weeks online.
All classes are held on Mondays, Wednesdays, and Thursdays each week from 7:30pm - 10:30pm ET.
Demos & Collaborative Exercises
Through active demonstrations, your instructor will introduce or demonstrate knowledge and skills related to the unit.
After this, you’ll participate in inquiry-based labs and challenges to reinforce what you’ve learned.
Our instructional team members will then be available to assist you or your team in solving challenges.
To conclude class, your instructor reviews the topics covered and ensures student understanding of the homework assignment(s).
Each week, students can expect to spend 9 hours total in class, plus about 20+ hours studying or working on outside assignments.
Class time options are subject to change. To see available class times for your cohort of choice, complete your application or schedule a call with a student advisor.
Daily activities may be subject to change.
Career Success
Students will gain valuable insight into how to build a successful career in the data field and AI specializations from day one of the course. Throughout the bootcamp experience, students may access live workshops, office hours, and asynchronous modules to help build a job search toolkit - which includes an optimized resume and LinkedIn profile.
Following successful completion of the Career Success Program, students can choose to opt into additional career coaching support and receive guidance for up to a year following graduation in:
Growing your professional network
Resume and LinkedIn profile optimization
Interview and assessment prep
Salary negotiation workshops
And much more!
You’ll also graduate from the program with a portfolio of work that demonstrates your ability to solve real business problems for real companies.
Fullstack Academy Graduates Get Hired
Fullstack Academy grads have landed jobs with some of the world's leading companies.
Graduate Testimonials
“Everyone was so willing to help, lift each other up, and provide a safe space to learn.”Laura Krey, Software Engineer @ JP Morgan Chase and Co
“The mentors and instructors go above and beyond to ensure you learn and understand the material.”Jesse-Le Edwards, Technologist @ PwC
“My time at Fullstack Academy…helped me break into the industry that I know I will thrive in.”Ashley Raach, IT Specialist
“Fullstack Academy played a crucial role in helping me craft an impressive resume.”Anthony Ruiz, Software Development Engineer I @ Amazon
“My bootcamp experience was very engaging, hands-on, and well put together.”Jeramy Hrobowski, Information Security Specialist
Frequently Asked Questions
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Yes, the Fullstack Academy AI & Machine Learning Bootcamp is designed to support learners of all levels, including beginners.
However, for optimal success in the bootcamp and beyond, we recommend students possess one or more of the following:
Experience coding in any language, ideally Python
Formal education/professional use of post-secondary math including Linear Algebra, Calculus, and Statistics
3-5 years of employment in a highly computational field
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Please note that the bootcamp is a highly computational, programming-based tech training program that teaches artificial intelligence and the machine learning tools, technologies, and processes that support its development. Students will learn how to create and deploy this technology toward a range of applications, rather than learn to use existing AI applications.
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Designed for rapid skill acquisition, the Fullstack Academy AI Bootcamp helps you gain a deeper understanding of core to advanced field principles and tools while providing you with opportunities for hands-on experience. Unlike some AI courses, this bootcamp incorporates machine learning online courses with AI training to deliver a well-rounded education. Topics covered in the AI and ML courses include:
Statistics Essentials for Data Science
Programming Basics
Applied Data Science with Python
Machine Learning
Deep Learning
Generative AI & Prompt Engineering
