Artificial Intelligence Mastery Course

machine learning tools

As the demand for skilled professionals in Artificial Intelligence Mastery, deep learning, natural language processing&generative AI and Artificial Intelligence Mastery deployment continues to soar, Clarusway is your gateway to mastering these cutting-edge technologies.

Explore the depths of AI and data science, from crafting powerful algorithms to deploying intelligent solutions in real-world applications. Elevate your career by not only acquiring the skills to evaluate and update AI models but also by mastering the art of deploying them seamlessly.

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Artificial Intelligence Mastery

Course Overview

Launch your career as a future-proofed AI professional.

The demand of building and deploying cutting-edge AI solutions is inevitable for data professionals in today’s world. Companies are integrating both Artificial Intelligence Mastery and Generative AI into various aspects of their operations, creating exciting opportunities for individuals with the necessary skillset.

Clarusway’s Applied AI & Data Science Program empowers you to become a versatile AI professional. You’ll not only master popular Artificial Intelligence Mastery algorithms and frameworks, but also delve into the fascinating world of Generative AI.

Become an AI-powered Data Science Professional

Artificial Intelligence Mastery program equips you with the skills to automate tasks, gain deeper insights, and optimize models using cutting-edge AI tools. Become an AI-powered data science professional and secure a competitive edge in the job market.


To train graduates who can understand and apply the Artificial Intelligence methodology professionally

Any Tool Needed

To make participants fully capable of competently working with any tool needed on Artificial Intelligence

Artificial Intelligence Mastery program is a 13-week program that includes more than 250+ hours of in-class sessions and a bonus package of 54+ hours of Career Management Services (CMS). Our specialty CMS activities for the Artificial Intelligence Mastery program include sessions on life coaching, resume building, Linkedin training, and interview preparation support.

In addition to the curriculum, you will have the opportunity to practice what you’ve learned with hands-on activities + 10 projects + 3 Capstone Projects at the end of the course.

Why Artificial Intelligence?


Machines are eager to learn more. Are you?


Option to work remote or in office anywhere in the world


Average salary $110,000+ in the US

Have a Question?

Please schedule a one-on-one Zoom meeting.

You can meet one of the Clarusway Student Advisors in a video call (Zoom session) to talk about your questions.


Why Clarusway

  • Proven Brand and Experience
  • Real Life Project Experience
  • Career Support
  • Easy Payment Options
  • Risk Free to Try
  • IT Network
  • Up to Date Curriculum
  • Innovative Teaching Model
  • No IT Background Needed
  • Upskill Programs
  • Mentoring Support
  • Career Management Service
  • Live Classes
  • Well-established and highly regarded brand in the industry

Innovative Teaching Model

  • ForbesCareer CarmaCourse ReportSwithcup are suggesting us.
  • We developed our Learning Management System (LMS)
  • Our custom LMS gives you the start to finish structure to get job-ready skills faster
  • Simply login and follow the path laid out for you, that’s it.
  • LMS has everything you need; the lessons, the projects, the mentorship sessions, the portfolio you need to build, the readings you need to do.

Package Details


  • Duration: 13 weeks
  • 148 hrs didactic/video sessions
  • 104 hrs Labs/Projects sessions
  • 126 hrs Mentoring sessions
  • Mentoring, Teamwork, Workshop, Career Management Service (CMS)
  • Prerequisites: Data & Business Analysis with Python, Git/GitHub, Linux

Upcoming Program

Artificial Intelligence Mastery

Schedule : Part-time
Duration : 3 Months
Curriculum : Module 2 (Artificial Intelligence Mastery)


Last Admission Date



  • Duration: 13 weeks 
  • 148 hrs didactic/video sessions
  • 104 hrs Labs/Projects sessions
  • 252 hrs Mentoring sessions
  • Mentoring, Teamwork, Workshop, Career Management Service (CMS)
  • Average 15 seats
  • Prerequisites: Data & Business Analysis with Python, Git/GitHub, Linux

Upcoming Program

Machine Learning

Schedule : Full-time
Duration : 3 Months
Curriculum : Module 2 (Artificial Intelligence Mastery)

6 May 2024

Last Admission Date

29 April 2024

What Will You Learn?

  • Artificial Intelligence Mastery
  • Deep Learning
  • Natural Language Processing & Generative AI
  • Artificial Intelligence Deployment
  • Capstone Project

What Will You Learn?

  • Artificial Intelligence Mastery
  • Deep Learning
  • Natural Language Processing & Generative AI
  • Artificial Intelligence Deployment
  • Capstone Project


Pay Upfront and get $2,250 off
The total discounted fee is paid at the time of enrollment.
Installment Plan
IR: 0% and 0% Fee
$750 /mo

6 months

Payments start with the program. Apply via Clarusway

Interest Free
IR: 0% and 0% Fee

$500 /mo

12 months

climb credit icon

Apply for “0% Interest Financing” via our third party lender, Climb Credit.

Modest Monthly
IR 5.99% – 18.49% and 5% Fee

as low as

$227 /mo

30 months

climb credit icon

Apply for “Climb Loan” via our third party lender, Climb Credit.

IR 5.99% – 18.49% and 5% Fee

$31 /mo for the first 5 months

as low as

$269 /mo

5+25 months

climb credit icon

Apply for “Climb Loan with Interest-Only Payment Period” via our third party lender, Climb Credit.

Fully Deferred
IR 6.45% – 18.95% and 5% Fee

$0 /mo for the first 5 months

as low as

$276 /mo

5+25 months

climb credit icon

Apply for “Climb Loan with Fully Deferred Grace Period” via our third party lender, Climb Credit.

* For Climb Credit options, the monthly payment amount and repayment period may vary depending on the applicant’s financial profile and the requested loan amount.

* For students originating from Canada, fees will be applied in Canadian Dollars at equivalent rates.


Our fees vary regionally

You can Schedule an Appointment to learn more about prices and discounts. 

Weekly Schedule

DayTime Class
Mon7 P.M. - 10 P.M.Live Class (Online)
Tue7 P.M. - 10 P.M.Live Class (Online)
Wed7 P.M. - 10 P.M.Teamwork - CMS
Thu7 P.M. - 10 P.M.Live Class (Online)
Fri7 P.M. - 10 P.M.Live Class (Online)

The hours are indicated in the “Eastern Standard Time (EST)”.

Weekly Schedule

Day/Time9:00 A.M. - 12:30 P.M.1:15 P.M. - 4:45 P.M.
MonLabs / Live Class (Online)Mentoring and CMS (every 2 weeks)
TueLabs / Live Class (Online)Mentoring
WedLabs / Live Class (Online)Mentoring
ThuLabs / Live Class (Online)Mentoring
FriLabs / Live Class (Online)Mentoring and Teamwork

The hours are indicated in the “Central EuropeTime (CET)”.

What Our Alumni Told ?

David E.
David E.
Switch Up
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“Having decided to attend Clarusway as a part of my personal upskilling and career-shifted initiatives, I was unsure as to what to expect. Although my experience exceeded my expectations, I strongly believe it was the right move at the right time. There is a group of smart, energetic, and talented people who run the program...”
Switch Up
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“I am 41 years old and I did not have any previous experience in IT. Today's conditions pushed me to make a career change, and in the meantime, I met Clarusway (a friend of mine recommended it highly). I was delighted to be a student of Clarusway from the moment I started the course until I finished it...”
Course Report
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"You can reach the instructors and mentors whenever you want. There are live lessons for 15 hours a week, you can ask questions and get instant answers in live lessons. No question goes unanswered. they also train you from scratch even if you had no interest in It in the past. The one that encouraged me the most was the 1-month trial period..."
Course Report
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“Clarusway is more than a bootcamp.. Because the menthorship mentality and the curriculums are up to date and giving insights about not about what the quality must be but also what the trends in IT sector going to...That was wonderful to have this experience ...Thank you Clarusway ..."
Sean Snow
Sean Snow
Career Karma
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“As a graduate, I can surely say, it's the best bootcamp with all its instructors, cirriculum, online labs, mentors and job assistance. Thank you for ALL Clarusway!"
Yalcin Kose
Yalcin Kose
Career Karma
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“I highly recommend to take this course if you really want to be a AWS Cloud / DevOps Engineer. The course structure & curriculum are excellent. First you learn, then you practice with hands-on, next you do the project with the knowledge that you just got. When you attend, more than 20 projects waiting for you! ”
Betul Kaplan
Betul Kaplan
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“Clarusway has been a turning point for me. For a long time, I had wanted to switch to IT and Clarusway gave me the best opportunity for that. Their schedule adjusted so that you have a very natural learning on the road. Also the mentoring activities are very supportive and motivating..."

Frequently Asked Questions

Students will learn about machine learning algorithms and deployment techniques in the Artificial Intelligence Mastery program. They will be qualified to fill roles at companies seeking machine learning engineers and specialists. These skills can also be applied in positions at companies looking for data scientists to introduce artificial intelligence techniques into their organizations.

This program introduces the basic concepts of supervised and unsupervised artificial intelligence. It will teach you how to deploy your AI product from scratch. Are you interested in deploying an application powered by AI? If so, this program can be a good fit for you! 

We provide various payment options to make the program work for you: 

  • Full/Up-front discount
  • Installment payment option (different maturity options)

Our program offers artificial intelligence training in addition to Deep Learning and NLP & Generative AI in the class. This program is the best fit for an intermediate-level trainee with a background in IT. A student in this program will need motivation, commitment, discipline, and a willingness to work hard. With the right mindset, you can distinguish yourself as an IT expert in this field! 

The Artificial Intelligence Mastery Program is meant to equip you with the advanced skills necessary to pursue a career as an artificial intelligence mastery engineer. 
Using performance measurements, you will analyze and update artificial intelligence models in a production context such as a web application during this training.

As many businesses build artificial intelligence solutions, the demand for engineers capable of deploying artificial intelligence models to a worldwide audience grows. 
The benefits of participating in this profession are far too significant to ignore – it will be a growth field for many years to come.

Billions of data bytes propel businesses to deploy machine learning to stay relevant in today’s business climate. If you have an interest in data, automation, and algorithms, artificial intelligence can be an excellent career choice for you! Job duties include spending time evaluating massive amounts of data to apply and automate them. An artificial intelligence career will remain in high-demand for the foreseeable future – it’s predicted to continue to be a high-growth field. 

Artificial Intelligence Mastery (Module 2) program’s prerequisites are:
  • Solid Foundation in Data&Business Analytics
  • Linear Algebra
  • Probability and Statistics
  • Linux (Shell Scripting)
  • GIT
  • Phyton

Artificial Intelligence applies to various sectors and businesses, and its application is expected to develop over time. Here are some examples in action.

  • Image recognition
  • Speech recognition
  • Medical diagnosis
  • Statistical arbitrage
  • Predictive analytics
  • Extraction

The following are the key distinctions between Artificial Intelligence (AI) and Machine Learning (ML): 

Artificial IntelligenceMachine learning
Artificial intelligence (AI) is a field of study that focuses on developing machines that are capable of imitating human behavior.System learning is a subtype of artificial intelligence that enables a machine to learn automatically from prior data without explicit programming.
The goal of AI is to create a computer system that is as intelligent as humans and capable of solving complicated issues.Machine learning’s objective is to enable machines to learn from data to provide accurate output.
In AI, we create intelligent computers capable of performing any work the same way humans do.We educate machines to complete a task and produce an accurate output using data in machine learning.
Machine learning and deep learning are the two primary subfields of artificial intelligence.The term “deep learning” refers to a significant subset of machine learning.
AI has a very broad application base.Machine learning has a finite application.
AI is an attempt to create an intelligent system capable of executing a wide range of complicated tasks.Machine learning aims to develop machines that can do just the tasks for which they have been educated.
The AI system’s primary goal is to maximize its odds of success.Machine learning is primarily concerned with precision and pattern recognition.


The machine learning types are:
  • Supervised learning (Task-Driven)
  • Unsupervised learning (Data-Driven)
  • Reinforcement learning (Learn from Errors)

Only mathematics and a small number of statistics are required to grasp the fundamental concepts of artificial intelligence. However, to solve a problem or train a model, programming competence is required. 

The average salary is $128,210 per year in the United States.

AI is tasked with achieving the conditions necessary for a successful run. On the other side, machine learning aims for maximum accuracy to enable artificial intelligence. In other words, machine learning focuses on analyzing many parts of data to help AI make better decisions. 
AI has a broader scope than ML. AI is a goal-oriented discipline that includes a pre-installed intelligence system. However, we cannot deny that AI is meaningless without machine learning learnings. They absolutely complement one another to produce high-quality products.

Machine Learning is a branch of Artificial Intelligence that is frequently used to predict and classify data. There are two broad categories of learning: supervised and unsupervised. 

  • Unsupervised learning is included to find patterns in data to facilitate processing or cluster similar samples.
  • Supervised learning entails developing a model that can subsequently be used to predict or classify new data.

For instance, you can train a model by inputting the house’s length, height, and width and outputting the roof dimensions. And, if you provide enough data, the model can make predictions about the roof dimensions of a house whose roof dimensions are unknown given the house dimensions.

Additionally, you can use it to classify data. For instance, you can train a model to detect a dog’s face in a photograph by presenting it with hundreds of instances and counter-examples.

Artificial intelligence is a branch within the science of data & business analysis.

NLP (natural language processing), like machine learning and deep learning, is a subfield of AI. It allows computers to understand, interpret, and manipulate human language. 

Tokenization and parsing, lemmatization/stemming, part-of-speech tagging, language detection, and semantic relationship detection are some of the basic NLP tasks.

In general, NLP tasks break down language into smaller, more basic parts, try to figure out how the parts work together, and look into how the parts work together to make sense.

These fundamental tasks are usually applied in higher-level NLP capabilities such as:

  • Content categorization
  • Topic discovery and modeling
  • Corpus Analysis
  • Contextual extraction
  • Sentiment analysis
  • Speech-to-text and text-to-speech conversion
  • Document summarization
  • Machine translation
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