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AI Machine learning Bootcamp

Metana’s AI/ML bootcamp is an intensive training program designed to provide participants with the skills and knowledge they need to succeed in the field of artificial intelligence and machine learning. The program covers a range of topics and includes a job guarantee for all participants. Whether you’re looking to gain expertise in AI and ML or transition into a new career, Metana’s bootcamp is a great opportunity to gain the skills and knowledge you need to succeed.

2 weeks no questions asked refund policy | Get hired – or your money back, guaranteed

Why Metana?

Metana is a highly respected and successful Web3 bootcamp, with a track record of producing graduates who are well-prepared for success in the professional world. Their foundational teaching method and JobCamp™️ program provide students with the skills and support they need to thrive in their first job and beyond. Now, with the addition of their AI/ML bootcamp, Metana is expanding their offerings to include training in the fast-growing field of artificial intelligence and machine learning. This new bootcamp is sure to be a great opportunity for aspiring professionals looking to gain expertise in these in-demand skills.

Roles and Salaries

There are a wide range of roles and salaries in the artificial intelligence (AI) and machine learning (ML) field, as these technologies are being applied in a variety of industries and sectors. Some common roles in the AI and ML field include:

  1. Data Scientist: Data scientists are responsible for collecting, analyzing, and interpreting data, and using that data to build and optimize machine learning models. Data scientists typically have a strong background in mathematics, statistics, and computer science, and are skilled in programming languages such as Python and R. The average salary for a data scientist is $120,000 per year.

  2. Machine Learning Engineer: Machine learning engineers are responsible for designing and implementing machine learning systems and applications. They work closely with data scientists to develop models and algorithms, and are skilled in programming languages such as Python and Java. The average salary for a machine learning engineer is $141,000 per year.

  3. AI Research Scientist: AI research scientists are responsible for conducting research on artificial intelligence and machine learning technologies, and developing new methods and approaches to these technologies. They typically have a strong background in mathematics and computer science, and are skilled in programming languages such as Python and C++. The average salary for an AI research scientist is $121,000 per year.

  4. AI Product Manager: AI product managers are responsible for managing the development and rollout of AI products and services. They work closely with cross-functional teams to understand customer needs and develop strategies for bringing AI products to market. The average salary for an AI product manager is $123,000 per year.

  5. AI/ML Consultant: AI/ML consultants work with organizations to help them understand and implement artificial intelligence and machine learning technologies. They typically have a strong background in these technologies and are skilled in programming languages such as Python and R. The average salary for an AI/ML consultant is $112,000 per year.

It’s worth noting that these are just a few examples of the many roles and salaries in the AI and ML field, and that actual salaries may vary widely depending on factors such as location, industry, and level of experience.


We offer three options to get your course and career change started. All plans include a full refund policy if you do not get a job after graduating.

This investment includes a full year of access to our AI/ML course material. Additionally, the course offers live events, AMA sessions, personalized support from the instructor, and a certificate of completion for those who complete the course.

You can pay your tuition via card, bank transfers, or with crypto.

Tuition for our AI/ML bootcamp is $6,000

  • Paying upfront Discount – $500
  • Non-Job-guarantee discount – $1,000 (If you choose to not have the job guarantee, you get an additional $1,000 discount) 
Pay Upfront$5,500.00
Monthly installments
$1,500.00/MO (4 Months)
Pay after you get hired (US Students only)*
$1,500 Upfront & Pay the rest after you get hired

* Credit check & Pre-approval required

**Tuition will increase to $7,980 for all cohorts in April 2023. To lock in the current tuition rate, pay your tuition in full or the first month’s installment and enroll in a cohort that begins in 2023. You’re eligible for a 100% refund till 2 weeks after starting the cohort.

Upcoming Cohorts

We have monthly cohorts. You can always choose to pause the program and resume where you left off if it’s too fast-paced for you or if life gets in the way. There is no financial cost associated with this. We want you to succeed and won’t make you follow a schedule that doesn’t suit you.

January Cohort23 January 2023


Week 1: Introduction to AI and ML

  • Overview of AI and ML
  • Types of AI and ML
  • Applications of AI and ML

Week 2: Data Preprocessing and Exploration

  • Data cleaning and preparation
  • Data exploration and visualization

Week 3: Linear Regression

  • Introduction to linear regression
  • Simple linear regression
  • Multiple linear regression

Week 4: Logistic Regression

  • Introduction to logistic regression
  • Binary logistic regression
  • Multinomial logistic regression

Week 5: Decision Trees

  • Introduction to decision trees
  • Classification and regression trees
  • Random forests

Week 6: Clustering

  • Introduction to clustering
  • K-means clustering
  • Hierarchical clustering

Week 7: Dimensionality Reduction

  • Introduction to dimensionality reduction
  • Principal component analysis (PCA)
  • Linear discriminant analysis (LDA)

Week 8: Neural Networks

  • Introduction to neural networks
  • Feedforward neural networks
  • Activation functions

Week 9: Convolutional Neural Networks

  • Introduction to convolutional neural networks (CNNs)
  • Convolutional layers
  • Pooling layers

Week 10: Recurrent Neural Networks

  • Introduction to recurrent neural networks (RNNs)
  • Long short-term memory (LSTM) networks
  • Gated recurrent unit (GRU) networks

Week 11: Generative Adversarial Networks

  • Introduction to generative adversarial networks (GANs)
  • Generator and discriminator networks
  • Training GANs

Week 12: Transfer Learning

  • Introduction to transfer learning
  • Fine-tuning pre-trained models
  • Using pre-trained models as feature extractors

Week 13: Natural Language Processing

  • Introduction to natural language processing (NLP)
  • Tokenization and preprocessing
  • Sentiment analysis

Week 14: Deep Reinforcement Learning

  • Introduction to deep reinforcement learning
  • Q-learning
  • Policy gradients

Week 15: Ethics and Responsible AI

  • Ethics in AI and ML
  • Fairness, bias, and transparency
  • Responsible AI practices

Week 16: Capstone Project

  • Work on a final project using the skills and knowledge learned in the bootcamp
  • Present the project to instructors and classmates

Admission Policy and Process

You have to prove your seriousness in learning and then only you are admitted to our bootcamp. This makes our admission policy as unique as our Bootcamp.

Admission Policy

  • Only programmers with at least a year of professional experience will be considered. You must be proficient in English.
  • The coding test result you receive will be the most important component of your application.
  • Past achievements. We want to see that you have the perseverance to work at something until you master it.
  • It will be beneficial to have some prior knowledge of blockchain programming. Although prior knowledge is not required, our curriculum is fairly fast-paced, so having a head start will help you succeed and show us that you are committed to the subject.

Admission Process

Submit your application

Schedule an interview call with one of our student admissions officers

Complete the coding test

  • After you submit your application & schedule an interview call with one of our student admissions officers, You will receive an email with a link to a coding test. (Dates are available within 3-7 days from the application date)
  • You need to complete the coding test within 3 days.
  • Send us an email if you need more time (
  • Your application will be rejected if your score falls short of a predetermined level. Because we need to compare your application to those of the other applicants for the upcoming cohorts, we can’t always make a decision right away.
  • We limit cohorts to 10 students per month to ensure maximally effective learning outcomes. If you have a great application but didn’t quite make it in, we will offer to waitlist you for the upcoming month.

Career Success - Metana's JobCamp™️

Our career success team gives our students the professional skills they need for their first job and every job after. Knowing how to get a job is critical, which is why our Career Success team helps you graduate ready for the job search. And even after you graduate, our team is available to keep you motivated, prepare you for interviews, and even help you negotiate offers.
  • Build a Technical Resume
  • Optimize Your LinkedIn Profile
  • Network within the Industry
  • Prepare for Behavioral Interviews
  • Stay Motivated on the Job Search
  • Craft Cover Letters
  • Communicate with Recruiters

First Impressions

Make a brilliant first impression. LinkedIn, GitHub and Resume templates and guidance.

The Hunt

Learn to build connections, how to look for jobs, and explore starting as a freelance.

The Interview Process

Learn about both the technical and non-technical parts of an interview. How to prepare effectively.

Technical Know-How

Learn common data structures and algorithms, and describe them during a whiteboard interview. Practice coding techniques for take home assignments.

Frequently Asked Questions

The advanced AI/ML bootcamp is a 16-week program delivered in a combination of online and in-person sessions. Participants will have access to online course materials and lectures, as well as the opportunity to attend in-person workshops and lab sessions.
The bootcamp is suitable for individuals with a strong mathematical or computer science background who are looking to gain expertise in artificial intelligence and machine learning. It may also be suitable for professionals looking to transition into a career in these fields.
The bootcamp is a full-time program, with participants expected to devote approximately 40 hours per week to coursework and projects.
Yes, participants who successfully complete the bootcamp will receive a certificate of completion.
It is recommended that participants have a strong foundation in mathematics and computer science, as well as some experience with programming languages such as Python or R. Prior knowledge of AI and ML is not required, but may be beneficial.
Some scholarships and financial assistance may be available for eligible participants.

Still have a question? Send us an email at

Apply for Machine learning Bootcamp.

Secure your spot now. Spots are limited, and we accept qualified applicants on a first come, first served basis..

The application is free and takes just 5 minutes to complete.

What is included in the course price?

Expert-curated curriculum

Weekly 1:1 video calls with your mentor

Weekly group mentoring calls

On-demand mentor support

Portfolio reviews by Design hiring managers

Resume & LinkedIn profile reviews

Active online student community

1:1 and group career coaching calls

Access to our employer network

Job Guarantee