Specialized Tech Skills + Career Support. This Is Fullstack Academy.
The Fullstack Academy AI & Machine Learning Bootcamp
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.
Why Learn Artificial Intelligence and Machine Learning with Fullstack Academy?
Gain Specialized Experience Using Real-World Tools
Students of the AI & Machine Learning Bootcamp learn by doing through our active learning method. You’ll use real-world data technologies and tools like Python, Keras, and TensorFlow to apply your skills and visualize their corresponding use cases.
Make Your Mark in AI
As a burgeoning subfield of the data science industry, AI offers a unique opportunity for professionals to shape the way this technology is used, and steer the future of AI toward its most useful, human-driven applications.
Train With AI & Machine Learning Professionals
Fullstack Academy Artificial Intelligence and Machine Learning classes are taught by industry-experienced instructors who are passionate about training the next generation of data professionals.
Graduate With AI-Concentrated Data Skills
With a rigorous curriculum spanning a range of concepts from data wrangling to deep neural networks, students will gain both foundational data knowledge and specialized machine learning skills.
Join a Powerful Alumni Network
Get access to a vast network of 10,000+ supportive Fullstack Academy alumni from across our bootcamps who can help to open doors to lucrative job opportunities.
Receive Dedicated Career Coaching
Learn how to optimize your interpersonal skills and build or optimize the ideal data career for you with our career coaching services.
Artificial Intelligence and Machine Learning Skill Requirements
As artificial intelligence grows more relevant across all major industries, data and other tech professionals with concentrated AI and machine learning experience are more in-demand than ever before. Specialization in this field may require different skills—depending on your unique professional experience and goals—but successful AI specialists are typically skilled 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% over the next decade—much faster than the 6% 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 data roles concentrated in artificial intelligence are constantly growing and evolving along with the industry itself.
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* |
|---|---|
| Business Analyst | $70,319 |
| Data Analyst | $71,034 |
| Artificial Intelligence Engineer | $123,392 |
| Data Scientist - AI/ML | $142,418 |
| Machine Learning Engineer | $151,063 |
Tuition and Payment Plans
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: $14,495 $12,495 for a limited time with the Tech Trailblazer Scholarship!
A refundable deposit of $99, applied to the total tuition, will be due at the time of enrollment. The deposit is refundable up until the end of the first week of classes.
Learn more about each of these ways to pay for your bootcamp education.
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For a limited time, save $2,000 on tuition with the Tech Trailblazer Scholarship! Apply and enroll by 06/18/2024 to the upcoming part-time AI & Machine Learning Bootcamp cohort starting on 06/24/2024 to receive the scholarship.
Additional scholarship opportunities are available for women, military vets, and other communities.
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Pay for your bootcamp tuition in affordable, predictable monthly installments.
Upcoming Dates
What You’ll Learn in the Fullstack Academy AI & Machine Learning Bootcamp
The part-time Artificial Intelligence and Machine Learning Bootcamp is divided into 6 units. Starting with Statistics Essentials for Data Science, you’ll quickly move into more advanced computing and engineering concepts—with a career-simulated project at the end of bootcamp to help you practically apply your skills.
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Apply the principles of data science in a real-world context–emphasizing ethical practices and effective decision-making.
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Acquire experience loading, storing, and working with data in Python.
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Gain an in-depth understanding of data science processes including data wrangling, data exploration, fundamental and advanced statistics, and hypothesis building and testing.
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Learn and deploy machine learning principles, algorithms, models, and applications.
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Explore deep learning and leverage neural networks to create and optimize models using tools.
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Examine generative AI, including ChatGPT and prompt engineering. Learn to effectively and ethically utilize them for a variety of business applications.
Admissions Process
The Fullstack Academy AI & Machine Learning Bootcamp is designed to support students of all skill levels. There’s no experience required to apply or be accepted.
However, we recommend prospective students possess one or more of the following:
Experience coding in any language
Formal education/professional use of post-secondary math including Linear Algebra, Calculus, or Statistics
3-5 years of employment in a highly computational field
Beginners looking to break into the data field are invited to consider the Fullstack Academy Data Analytics Bootcamp, which will provide you with the foundational knowledge and technical skills you'll need to pursue more advanced specializations in the data field as a career.
Not sure how your skills stack up?
Contact a student advisor to learn more about recommended qualifications for the AI & Machine Learning Bootcamp, and understand how they compare to other data concentrations.
Ready to get started?
Apply to study at the Fullstack Academy AI & Machine Learning Bootcamp! Here’s how:
- Fill out our online application form
- Take our nontechnical assessment
- Covers logical reasoning
- Sent to you immediately upon submission of application
- 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.
AI & Machine Learning Bootcamp FAQs
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An AI bootcamp is an accelerated program that can provide you with the in-demand skills you need for a career in the artificial intelligence and data science field. Some programs, like the bootcamp offered by Fullstack Academy, combine AI courses and machine learning courses as part of the curriculum to give participants a robust future-focused knowledge base. The AI bootcamp caters to those looking to launch a new AI career, upskill in the field, or transition from another area.
In the Fullstack Academy AI & Machine Learning Bootcamp, you'll gain hands-on experience, explore real-world scenarios, and build a portfolio of projects. In addition to teaching job-oriented skills, the AI bootcamp at Fullstack Academy includes career success support.
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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
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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
Not sure how your skills stack up? Contact a student advisor to talk through all your options.
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The Fullstack Academy AI & Machine Learning Bootcamp is a 26-week part-time program that provides a comprehensive understanding of AI and machine learning course concepts using real-world tools, preparing you to qualify for a range of data roles, including AI roles.
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Deciding on an AI bootcamp requires careful consideration. These programs offer accelerated learning for high-demand AI skills, equipping you with practical experience through projects to build a strong portfolio. This can be a great way to transition careers or upskill for the AI field, often at a lower cost than a traditional degree program. Success hinges on your dedication and ability to learn independently. Consider your existing skills, career goals, and preferred learning style.
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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.
