Specialized Tech Skills + Career Support. This Is Fullstack Academy.
The Fullstack Academy AI & Machine Learning Bootcamp
The Fullstack Academy Artificial Intelligence & Machine Learning bootcamp equips you with the skills and knowledge needed to excel in this rapidly growing field. This immersive program covers theoretical knowledge and practical skill-building in 26 weeks, helping you to become a confident practitioner.
You'll build proficiency in popular frameworks and tools such as Python, Pandas, TensorFlow, Scikit-Learn, TensorFlow, NLTK, etc., preparing you for roles such as AI Engineer, ML Engineer, Data Scientist, Analyst, and much more.
Key Features:
Gain the latest AI skills in Generative AI, prompt engineering, LLMs, and much more
Experience a rigorous, future-focused curriculum delivered in live online sessions by industry-experienced instructors
Engage in 25+ hands-on projects to build a strong portfolio
Get 1:1 personalized career coaching to help you pursue a fulfilling career in AI and machine learning
Why Choose the Fullstack Academy Artificial Intelligence and Machine Learning Bootcamp?
Gain Specialized Experience Using Real-World Tools
AI & Machine Learning Bootcamp students 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 with corresponding use cases.
In-Demand Curriculum
The bootcamp features an immersive curriculum covering a holistic AI portfolio, including AI & machine learning algorithms, data science, deep learning, natural language processing, generative AI, and much more.
Train With AI & Machine Learning Professionals
Fullstack Academy AI & Machine Learning Bootcamp classes are taught live online by industry-experienced instructors who are passionate about training the next generation of professionals.
Earn a Certificate of Completion
Upon bootcamp graduation, you’ll earn a Fullstack Academy Certificate of Completion, validating your industry-ready 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 build or optimize the ideal AI & machine learning career with our career coaching services.
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
Conversational AI models, prompt engineering, and GenAI tools like ChatGPT, Microsoft BingAI, Google Gemini, Anthropic Claude, and GPT4all
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 | $115,598 |
| Artificial Intelligence Engineer | $153,174 |
| Data Scientist - AI/ML | $160,432 |
| Machine Learning Engineer | $165,897 |
| Machine Learning Researcher | $233,184 |
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.
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For a limited time, apply and enroll in an upcoming January 2025 cohort by January 7, 2025 to receive the New Beginnings Scholarship (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 Scholarship: -$1,000 Early Enrollment Discount: -$1,000 Total Tuition with Scholarship + Discount: $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 affordable, predictable monthly installments.
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You may be eligible to pay for bootcamp using local/state government benefits based on where you live.
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 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.
AI & Machine Learning Bootcamp Tools & Technologies
Throughout this program, you’ll learn to use a range of in-demand digital tools to build practical, hands-on AI and machine learning skills. Some of the tools you’ll develop proficiency in include:
AI & Machine Learning Bootcamp Projects
As a part of this program, you’ll have opportunities to apply your skills in industry-relevant projects to solve real-world challenges. These projects will help validate your proficiency with AI and machine learning tools and technologies, plus you can feature them in your professional portfolio to showcase to potential employers. Here are some examples of the projects:
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This project requires you to develop a machine-learning model to accurately predict customer satisfaction levels. You’ll analyze a dataset of customer interactions, purchase behavior, demographic information, and product feedback, and identify key factors influencing customer satisfaction.
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You’ll design some features of an e-commerce application. This includes the backend implementation of the website, sign-in authentication, and error-handling features.
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You’ll investigate the factors that influence house prices and identify potential growth opportunities in the market.
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A retail company wants to analyze its sales data to make better investment decisions. You’ll help the company identify the geographies generating the highest revenues, analyze purchasing behavior and data, and assist with data-driven decisions for the coming year.
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A company specializing in movie recommendations wants to integrate a recommender system based on collaborative filtering. This project requires you to construct and assess a recommender system, employing memory-based and collaborative filtering methods.
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A news aggregator platform collects articles from various sources. To improve the user experience, you’ll develop a text classification model using Recurrent Neural Networks, which will automatically categorize articles into predefined topics or categories.
Capstone Project
The capstone project is the culmination of all the previous skills taught in the bootcamp. You will choose a data analysis subject that interests you, build and fine-tune a model with AI techniques, and present your findings.
AI & Machine Learning Capstone Project Overview
AI & Machine Learning Bootcamp Student Project: Autonomous Driving Vehicles
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 field of AI and machine learning. 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 program, bootcamp graduates can choose to opt into the Fullstack Academy Career Success Program and access up to a year of 1:1 personalized career coaching and guidance 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:
Programming Refresher
Applied Data Science with Python
Machine Learning
Deep Learning
Natural Language Processing
Essentials and Applications Generative AI
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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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Tuition for the AI & ML bootcamp is $7,950. Multiple scholarships and payment options are available. Bootcamp tuition is an investment in your future, so take the first step toward hands-on training in AI, machine learning, deep learning, career support, and more. Apply now!
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The Fullstack Academy AI & Machine Learning Bootcamp is a 100% online program, making it ideal for busy schedules and remote learners. This eliminates the need for relocation or commuting, and allows you to participate from the comfort of your own space.
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The Fullstack Academy AI and Machine Learning Bootcamp is ideal for career changers, upskilling professionals, and those with programming/data experience. Focused on practical skills and portfolio building, this intensive program helps get you job-ready, but requires a committed mindset and dedication throughout the program. Consider your learning style (theory vs. hands-on) and time commitment before enrolling.
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The Fullstack Academy AI & Machine Learning Bootcamp helps prepare professionals and recent graduates with skills and experience in these evolving technologies. To be considered for admission, applicants must meet the following eligibility criteria:
Be 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)
While not required for admission, applicants are recommended to have at least 2+ years of formal work experience.
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Anticipate a rigorous but rewarding experience in the Fullstack Academy AI and Machine Learning Bootcamp. You can anticipate:
A fast-paced curriculum covering in-demand technologies and tools.
Practical skill-building, not just theory.
Real-world projects and the opportunity to build a portfolio to show to potential employers.
A collaborative environment, where you'll be supported by industry-experienced instructors, mentors, and peers.
Career support including resume workshops, interview prep, and more.
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These steps will guide you through the application process for the Fullstack Academy AI & Machine Learning Bootcamp! Here’s how to apply:
Complete the No-Risk, No-Cost Online Application: Complete and submit the online application form.
Schedule a Call with a Student Advisor: Right after applying, schedule a call with our student advisor to understand your eligibility for the AI & Machine Learning Bootcamp.
Receive Your Entrance Decision: You’ll receive your entrance decision within 24 hours.
