Pay your tuition in advance through self-payment or with the help of your employer.
Numerous employers provide financial assistance for coding programs, so it is advisable to inquire with your employer regarding tuition support.
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
Alex Shoihat
Head of Machine Learning
Alex holds a bachelor's degree in Information Systems (B.Sc.) and a master's degree in Electrical and Electronics Engineering.
Alex is a Machine Learning Engineer at RT. He specializes in the AI field, with over 13 years of experience in project development, management, and transitioning from development to production in various domains such as Linux Embedded.
Alex has experience working with the integration of Machine Learning and Deep Learning in the Computer Vision and Data Analysis field.
Artificial Intelligence Curriculum
The AI & Machine Learning Course program is made up of a number of courses (modules).
We know that each of us arrives with a different background and level of knowledge. In order to tailor the content to best fit your needs, you can choose the track that is most suitable for you:
AI & Machine Learning Course studies at the college are currently conducted online.
Comprehensive Track
This track includes all the courses in the program and is designed to make you an expert in the field.
- Designed for students with little to no experience.
- Requires 9 to 12 months to complete.
- 335 academic hours.
Standard Track
This track includes only the courses and content specifically designed for the AI & Machine Learning Course program.
- Designed for students with prior knowledge in the high-tech industry.
- Requires 6 to 7 months to complete.
- 155 academic hours.
Self-Designed Track
This track allows you to select only the specific courses and content that you are interested in and wish to complete.
- Designed for students with experience in the field.
- Requires 1 to 3 months to complete, depending on the courses chosen by the student.
| Machine Learning & Data Science | |||||
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| Machine Learning Fundamentals | 25 academic hours |  Comprehensive Track |
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This course presents the theory and fundamentals of Machine Learning, as well as recommended working methods for ML. | |||||
| Scientific Python | 30 academic hours | Comprehensive Track |
Standard Track |
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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 | Comprehensive Track |
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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 | Comprehensive Track |
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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 | |||||
| Python | 90 academic hours | Comprehensive Track |
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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 | 30 academic hours | Comprehensive Track |
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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 | Comprehensive Track |
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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 | Comprehensive Track |
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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. | |||||
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.
Certifications and Credentials
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
Why Study Artificial Intelligence at RTG
Paying Tuition for Artificial Intelligence
Some students turn to personal loans to fund their coding education.
A diverse range of personal lending choices is at your disposal for careful consideration and assessment. Should you opt for a personal loan, be sure to select the one that aligns most effectively with your individual circumstances and financial goals.
Your eligibility for various government aid and scholarship programs may vary depending on your location.
As such, it is recommended that you explore the options and inquire about any scholarships or financial aid opportunities available.
Top Companies Where Our Graduates Work
FAQ
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.
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.
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.
Currently, classes in the Artificial Intelligence program take place online.