AI & Machine Learning Course
Start Date:
TBD
Academic Timeline:
335 hours | 13 months
Campus: Live online learning model
Meetings Per Week:
2-3
Rating: 4.8
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Machine Learning & AI Course Overview
Our Artificial Intelligence and Machine Learning training program prepares you for an impactful career in the rapidly evolving AI sector. This course encompasses foundational and advanced topics including machine learning, deep learning, natural language processing, and robotics. You'll engage with key technologies like Python, TensorFlow, and various AI frameworks. Moreover, the program explores the application of AI across diverse industries such as healthcare, automotive, and finance.
Drawing on our extensive experience as a renowned ML and AI education provider, we've crafted a curriculum that marries rigorous academic theory with substantial practical experience. Throughout the program, you'll collaborate closely with seasoned AI professionals on real-world projects, gaining the skills and insights needed to emerge as a leading figure in the AI community. This robust program is your gateway to a future career in Artificial Intelligence.
Skills You Will Gain by Completing Our AI Online Course
- Mastery of machine learning and deep learning frameworks.
- Ability to design and implement ML models using Python and TensorFlow.
- Knowledge of AI applications in natural language processing and computer vision.
- Skills in robotics and automation.
- Ethical considerations and implementation of AI technologies.
As a Qualified Machine Learning Course Graduate, You’ll Be Prepared for Roles Such As:
- AI Developer
- Machine Learning Engineer
- AI Research Scientist
- Robotics Engineer
- AI Strategy Consultant
Industries You’ll Be Able to Work in With Our Online Machine Learning and Artificial Intelligence Course
- Artificial Intelligence and Robotics
- Healthcare and Life Sciences
- Automotive and Manufacturing
- Finance
- Entertainment and Media
Why Study Artificial Intelligence at Embedded Academy
Skills you will gain by completing our Artificial Intelligence Course
Programming Tools and Languages
- High-tech placement: close support starting from assistance in writing a contract to placement in a high-tech company
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Skills & Techniques
- High-tech placement: close support starting from assistance in writing a contract to placement in a high-tech company
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What roles can you perform upon completing the course?
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Who is the Ai Bootcamp Course for?
- College/university graduates who are interested in specializing in Artificial Intelligence/AI system development.
- Hardware/software/computer science engineers lacking experience in this field who are seeking professional training.
- Individuals with relevant background and prior experience, including experience in Python programming and Linux operating system.
Admission Requirements
- College/university graduates who are interested in specializing in Artificial Intelligence/AI system development.
- Hardware/software/computer science engineers lacking experience in this field who are seeking professional training.
- Individuals with relevant background and prior experience, including experience in Python programming and Linux operating system.
Artificial Intelligence Curriculum
Full Track
Standard Track
Self-Designed
Track
AI & Machine Learning Track: From Novice to Expert
Launch your career in AI & Machine Learning with our most comprehensive educational track. This program is meticulously designed to provide you with an all-encompassing understanding of the field, ensuring you achieve the highest level of expertise.
Key Features:
- Holistic Learning: Engage with all modules, gaining a thorough and well-rounded proficiency in AI & Machine Learning .
- Beginner-Friendly: Tailored for newcomers with little to no prior experience, providing a supportive environment for those taking their first steps into this dynamic field.
- In-Depth Immersion: Dive deep into the subject matter over a 9 to 12-month period, allowing ample time for concept absorption and practical application.
- Extensive Curriculum: Benefit from an impressive 335 academic hours of instruction, covering a wide array of essential topics and cutting-edge techniques.
This track is your gateway to becoming a proficient AI & Machine Learning expert, equipping you with the knowledge, skills, and hands-on experience needed to excel in this rapidly evolving and in-demand area of technology.
| Machine Learning & Data Science | Course duration | |
|---|---|---|
| Machine Learning Fundamentals | 25 academic hours | |
This course presents the theory and fundamentals of Machine Learning, as well as recommended working methods for ML. | ||
| Scientific Python | 30 academic hours | |
The "Scientific Python" course at RTG College is part of an advanced learning program that equips students with the necessary skills for advanced analysis of scientific data. Throughout the course, students develop proficiency in the Python programming language and practice using libraries like NumPy, Pandas, and Matplotlib for data processing and analysis. The knowledge is conveyed through hands-on projects, allowing students to apply the knowledge and develop solution-focused abilities in a practical environment. At the end of the course, students conduct in-depth analysis and present their findings in a final project. The course provides you with the tools for breakthroughs in the complex world of data analysis. | ||
| Machine Learning With Python | 50 academic hours | |
Python offers a wide range of libraries that can be used for Machine Learning (such as NumPy, SciPy, Matplotlib). In this course, you will learn how to implement the tools from these libraries. Using these tools, we will also implement models that were taught in previous courses. | ||
| Deep Learning with Tensorflow | 50 academic hours | |
Deep Neural Networks draw inspiration from the way the human brain functions and represent the most advanced subset of Artificial Intelligence. In this course, you will learn how to develop and test Deep Learning models using the TensorFlow / Keras platforms for Machine Learning and Neural Networks projects. | ||
| Software Programming Courses | Course duration | |
| Python | 90 academic hours | |
The focus is on Python 3, aiming to provide the knowledge and experience required for programming real-world applications in an object-oriented industry. You will learn how to develop software using Python. You will be taught techniques and appropriate tools to professionally develop high-level Python programs suitable for high-tech companies. This is a very practical course in which we will also be using circuit boards. Python is currently considered one of the most popular and sought-after programming languages in the IT industry. Its popularity and widespread use in various industry projects make Python one of the most demanded programming courses. The high demand and diverse employment opportunities make Python highly beneficial to specialize in for a rewarding professional career with multiple growth opportunities. | ||
| SQL Course | 30 academic hours | |
In this course, you will learn and practice SQL (Structured Query Language) and gain thorough familiarity with MySQL. The goal of the course is to learn how to communicate and perform various operations with the database. Most software operates with large amounts of data in the background. Nowadays, this data can be stored in different types of databases, like MySQL or Oracle in the backend. During software testing, some of this data needs to be verified, for example, to check if the relevant data is stored correctly in the databases. Therefore, knowledge of database basics and SQL queries is essential. In the course, we will cover topics such as SQL Formal Definitions, The Relational Model, SQL Key Notes, SQL Properties, SQL User Objective, Data Definition Language, and more. | ||
| AWS | 35 academic hours | |
The course is designed to help you gain a deep understanding of the architectural principles and services of Amazon Web Services (AWS). You will learn how to design and deploy AWS cloud applications using recommended best practices endorsed by Amazon. | ||
| GIT (Version Control) | 25 academic hours | |
Git is an open-source version control system that serves as a tool for managing code versions and the software development process. Its primary purpose is to help developers efficiently manage code and track changes in software files. In this course, you will learn the core features of Git, workflow techniques, and methods to undo changes or maintain multiple project versions. Additionally, you'll discover how to collaborate effectively with other teams and developers. Designed for programmers seeking the best and most suitable way to manage code development versions, the course covers essential workflow principles, core features, version control, collaboration, and more. | ||
Tuition: $24890.00 $17977.00
AI & Machine Learning Specialist Track
Elevate your software development expertise with our focused AI & Machine Learning program. This track is carefully crafted for professionals with prior experience in software and application development, aiming to sharpen your skills in this specialized domain.
Key Features:
- Targeted Curriculum: Concentrate solely on modules directly relevant to AI & Machine Learning , ensuring efficient and applicable learning.
- Accelerated Learning: Designed for experienced developers, this condensed track spans 6 to 7 months, allowing you to augment your existing skill set quickly.
- Intensive Study: Engage in 155 academic hours of specialized instruction, delving deep into the intricacies of AI & Machine Learning .
This track offers a streamlined path to mastering AI & Machine Learning , ideal for seasoned developers looking to expand their expertise or pivot into this high-demand field. Gain the specific knowledge and skills needed to excel in AI & Machine Learning development and stand out in the competitive tech industry.
| Machine Learning & Data Science | Course duration | |
|---|---|---|
| Machine Learning Fundamentals | 25 academic hours | |
This course presents the theory and fundamentals of Machine Learning, as well as recommended working methods for ML. | ||
| Scientific Python | 30 academic hours | |
The "Scientific Python" course at RTG College is part of an advanced learning program that equips students with the necessary skills for advanced analysis of scientific data. Throughout the course, students develop proficiency in the Python programming language and practice using libraries like NumPy, Pandas, and Matplotlib for data processing and analysis. The knowledge is conveyed through hands-on projects, allowing students to apply the knowledge and develop solution-focused abilities in a practical environment. At the end of the course, students conduct in-depth analysis and present their findings in a final project. The course provides you with the tools for breakthroughs in the complex world of data analysis. | ||
| Machine Learning With Python | 50 academic hours | |
Python offers a wide range of libraries that can be used for Machine Learning (such as NumPy, SciPy, Matplotlib). In this course, you will learn how to implement the tools from these libraries. Using these tools, we will also implement models that were taught in previous courses. | ||
| Deep Learning with Tensorflow | 50 academic hours | |
Deep Neural Networks draw inspiration from the way the human brain functions and represent the most advanced subset of Artificial Intelligence. In this course, you will learn how to develop and test Deep Learning models using the TensorFlow / Keras platforms for Machine Learning and Neural Networks projects. | ||
Tuition: $17575.00
Customizable AI & Machine Learning Expertise Track
Tailor your tech education with our flexible, modular program. This track allows you to focus on specific areas of interest, creating a personalized learning journey.
Key Features:
- Customized Learning: Select only the courses and content you need.
- Experience-Based: Ideal for students with prior field experience.
- Flexible Duration: Complete in 1 to 3 months, based on your course selection.
| Machine Learning & Data Science | Course duration | |
|---|---|---|
| Machine Learning Fundamentals | 25 academic hours | |
This course presents the theory and fundamentals of Machine Learning, as well as recommended working methods for ML. | ||
| Scientific Python | 30 academic hours | |
The "Scientific Python" course at RTG College is part of an advanced learning program that equips students with the necessary skills for advanced analysis of scientific data. Throughout the course, students develop proficiency in the Python programming language and practice using libraries like NumPy, Pandas, and Matplotlib for data processing and analysis. The knowledge is conveyed through hands-on projects, allowing students to apply the knowledge and develop solution-focused abilities in a practical environment. At the end of the course, students conduct in-depth analysis and present their findings in a final project. The course provides you with the tools for breakthroughs in the complex world of data analysis. | ||
| Machine Learning With Python | 50 academic hours | |
Python offers a wide range of libraries that can be used for Machine Learning (such as NumPy, SciPy, Matplotlib). In this course, you will learn how to implement the tools from these libraries. Using these tools, we will also implement models that were taught in previous courses. | ||
| Deep Learning with Tensorflow | 50 academic hours | |
Deep Neural Networks draw inspiration from the way the human brain functions and represent the most advanced subset of Artificial Intelligence. In this course, you will learn how to develop and test Deep Learning models using the TensorFlow / Keras platforms for Machine Learning and Neural Networks projects. | ||
| Software Programming Courses | Course duration | |
| Python | 90 academic hours | |
The focus is on Python 3, aiming to provide the knowledge and experience required for programming real-world applications in an object-oriented industry. You will learn how to develop software using Python. You will be taught techniques and appropriate tools to professionally develop high-level Python programs suitable for high-tech companies. This is a very practical course in which we will also be using circuit boards. Python is currently considered one of the most popular and sought-after programming languages in the IT industry. Its popularity and widespread use in various industry projects make Python one of the most demanded programming courses. The high demand and diverse employment opportunities make Python highly beneficial to specialize in for a rewarding professional career with multiple growth opportunities. | ||
| SQL Course | 30 academic hours | |
In this course, you will learn and practice SQL (Structured Query Language) and gain thorough familiarity with MySQL. The goal of the course is to learn how to communicate and perform various operations with the database. Most software operates with large amounts of data in the background. Nowadays, this data can be stored in different types of databases, like MySQL or Oracle in the backend. During software testing, some of this data needs to be verified, for example, to check if the relevant data is stored correctly in the databases. Therefore, knowledge of database basics and SQL queries is essential. In the course, we will cover topics such as SQL Formal Definitions, The Relational Model, SQL Key Notes, SQL Properties, SQL User Objective, Data Definition Language, and more. | ||
| AWS | 35 academic hours | |
The course is designed to help you gain a deep understanding of the architectural principles and services of Amazon Web Services (AWS). You will learn how to design and deploy AWS cloud applications using recommended best practices endorsed by Amazon. | ||
| GIT (Version Control) | 25 academic hours | |
Git is an open-source version control system that serves as a tool for managing code versions and the software development process. Its primary purpose is to help developers efficiently manage code and track changes in software files. In this course, you will learn the core features of Git, workflow techniques, and methods to undo changes or maintain multiple project versions. Additionally, you'll discover how to collaborate effectively with other teams and developers. Designed for programmers seeking the best and most suitable way to manage code development versions, the course covers essential workflow principles, core features, version control, collaboration, and more. | ||
Tuition
Payment Plans
As Low As
$330/Month
+
Meet your instructor
Alex Shoihat
Head of Machine Learning
Alex holds a B.Sc. in Information Systems and an M.A. in Electrical and Electronic Engineering.
As a Machine Learning Engineer at Embedded Academy, Alex specializes in the field of artificial intelligence, applying over 13 years of experience in project development, management, and transitioning from development to production in various domains such as Linux Embedded.
Throughout his career, Alex developed his expertise working with the integration of Machine Learning and Deep Learning in the Computer Vision and Data Analysis field.
AI & Machine Learning Certification
Students must complete the following to be eligible for AI & ML certification:
- Participation in at least 80% of the Ai online training sessions
- Submission of a final project / final exam with a score of 70 and above
- Obligation to submit course assignments, including exercises, homework, and projects
Career Advisory
As part of the professional experience each graduate undergoes we help in integrating them into the high-tech world through our job search assistance, personalized resume building, and placement in a technology company.
1
Curriculum customization
We'll help you choose and structure the right program most suitable for your needs and career aspirations.
2
Tech Training
Students who start with no prior knowledge of the field will receive the fundamentals required to complete the course.
3
Final Project
Working on your course project and internship with experienced developers.
4
Internship
Get real-world experience adapted to industry standards and requirements with our team of industry-leading engineers.
5
Job Interview
Graduates get resume-building assistance, interview simulations and career guidance.
What do our graduates say?
David M.
Embedded System course graduate
Embedded System engineer
Didn’t realy know what I wanted to focus on when applied but my career advisor laid the options down so we could see what’s a good fit for me professionally. I got into the embedded system program and feel good with this path.
Dima Solomianik
Real Time Embedded course graduate
RT Embedded Engineer, HP
After completing the course I moved onto the job interview preparation process in which I got valuable insights about what employers search for when seeking a talent to take on the role confident in the skills and experience I gained as a student. I got 3 high tech companies getting back to me to proceed to the next level
Alex K.
Real Time Embedded course graduate
Linux Kernel Developer
The Embedded systems course was very detailed and relevant as I got to work on actual client projects that show industry challenges. I now work as an embedded engineer and the skills I gained are directly applicable to my daily work.
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David F.
Embedded System course graduate
Device Driver Developer
The real-time embedded program got deep into relevant industry challenges, and I got to apply new strategies I learned to streamline our development processes.
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Liam S.
Real-Time Embedded course graduate
RTOS Specialist
I came into the real-time embedded course with limited coding experience, but the structured learning path and personalized mentorship made the transition seamless.
Lina Tomkov
Automation course graduate
Automation Engineer, Mohican Lab
I was invited to work at the academy’s engineering department as an intern and then joined the team as an Automation engineer. I got to apply a lot of scenarios I experienced during the classes and found the hands on practice I needed
Emma W.
IT course graduate
Linux Administrator, HP
The Linux course really upped my game. The labs were great, I got to see work processes you don’t get only in school.
Mia S.
Cybersecurity course graduate
Incident Response Specialist
The Cybersecurity program was good and also up to date, new tools and threats I read about were given as current examples. The additional interview preparation helped me get into a the dev team I’m in now.
James H.
DevOps course graduate
DevOps developer, Quali
Switching to DevOps seemed stressing at the time but the course was well built to take you from start to bottom.
Sarah L.
Machine Learning course graduate
AI/ML developer
The Machine Learning course was super practical, from hardcore algorithms to the ethics of AI. Thanks to the professional connections I met during school got me several job offers to check right after I graduate
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Paul N.
Machine Learning course graduate
Machine Learning Engineer
I was initially intimidated by the prospect of learning AI and machine learning because I thought I didn’t have enough mathematical knowledge, but throughout the course my instructor made sure I wouldn’t follow behind. It made a huge difference from other times I experienced with online courses.
Shaked Laivo
Full Stack course graduate
I got to work with innovative tools and techniques available in today’s industry. I wanted an institution that’ll assist me not only with the learning process but also as a junior in a very high-demand market, take me step by step to set foot in the door. That what made all the difference when I graduated and got several fullstack developer offers.
Tom R.
Full Stack course graduate
Full Stack developer
I basically came as a coding newbie and found the fullstack development course structured. The project-based learning approach was particularly effective. The career support post-graduation was exceptional. I'm now employed as a junior full-stack developer at a health-tech startup, building meaningful applications.
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Emily B.
Full Stack course graduate
Web Application Architect
Before taking the full stack course, I had basic web development skills but struggled to combine all the pieces. The comprehensive curriculum and hands-on projects have transformed me into a versatile full stack engineer, enabling me to build complex, end-to-end applications.
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Tate N.
Full Stack course graduate
Mobile Web Developer
The full stack course was a game-changer for my web development business. I now offer end-to-end web services to my clients, leveraging the latest frameworks and best practices.
Our graduates work here
FAQ
What are the admission requirements for the Artificial Intelligence program?
The admission requirements for the Artificial Intelligence Development program are as follows:
- Professional knowledge interview + examination.
- Background and/or experience in development.
- Engineers and graduates with degrees in the field of sciences — an advantage.
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In which companies and roles can one integrate after completing the Artificial Intelligence program?
The field of artificial intelligence is gaining increasing significance across a wide range of life domains. As a result, there is a growing demand from tech companies for skilled professionals in this field. Leading companies in finance, healthcare, cybersecurity, autonomous vehicle development, and more are constantly seeking skilled artificial intelligence (AI) engineers.
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Are there homework assignments, exams, or projects?
The training program includes hands-on practical work in order to gain experience in development, not just theoretical knowledge. This is to acquire relevant experience in the field for immediate employment and career start upon completion of studies.
Homework assignments, portfolio development, and knowledge assessments are integral parts of the program structure. They are designed to align with industry requirements and professionally provide the learned material and relevant knowledge for the demands of the high-tech industry.
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Where do classes take place?
Currently, classes in the Artificial Intelligence program take place online.
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