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
Programming Tools and Languages
Skills & Techniques
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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:
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 | |
|
Machine Learning can adapt its behavior based on past programming activity and feedback. This course introduces ML theory and foundations as well as best practices.
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| Scientific Python | 30 academic hours | |
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Python offers a wide range of libraries used for ML (NumPy, SciPy, Matplotlib, Pandas, etc.) The course teaches how to use these libraries and simplifies the developer's ability to write advanced and reliable code
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| Machine Learning With Python | 50 academic hours | |
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Learn how to apply ML Fundamental models using libraries and Python programming language tools.
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| Deep Learning with Tensorflow | 50 academic hours | |
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Deep Learning / Deep Neural Networks is considered the most advanced subset of artificial intelligence as it mimics how the human brain works. Here you'll learn how to develop and test Deep Learning models using TensorFlow API.
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| Software Programming Courses | Course duration | |
| Python | 90 academic hours | |
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Focusing on Python 3, you’ll learn to program object-oriented, real-industry applications.
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| SQL Course | 30 academic hours | |
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SQL is a special-purpose programming language designed for managing data in a relational database. Learn how to use SQL to store, query, and manipulate data.
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| AWS | 35 academic hours | |
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Gain an in-depth understanding of Amazon Web Services architectural principles and services, design and scale AWS Cloud implementations with best practices recommended by Amazon.
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| GIT (Version Control) | 25 academic hours | |
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Learn Git’s core features and workflow, different ways to undo changes or save multiple versions, and collaborate with other teams and developers.
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Tuition
$10,800
$14,890
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:
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 | |
|
Machine Learning can adapt its behavior based on past programming activity and feedback. This course introduces ML theory and foundations as well as best practices.
| ||
| Scientific Python | 30 academic hours | |
|
Python offers a wide range of libraries used for ML (NumPy, SciPy, Matplotlib, Pandas, etc.) The course teaches how to use these libraries and simplifies the developer's ability to write advanced and reliable code
| ||
| Machine Learning With Python | 50 academic hours | |
|
Learn how to apply ML Fundamental models using libraries and Python programming language tools.
| ||
| Deep Learning with Tensorflow | 50 academic hours | |
|
Deep Learning / Deep Neural Networks is considered the most advanced subset of artificial intelligence as it mimics how the human brain works. Here you'll learn how to develop and test Deep Learning models using TensorFlow API.
| ||
Tuition: $7575.00
Payment Plans
As Low As$330/Month
Alex Shoihat
Head of Machine Learning Departments
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.
Students must complete the following to be eligible for AI & ML certification:
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.
Sarah L.
Machine Learning course graduate
AI/ML developer
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Paul N.
Machine Learning course graduate
Machine Learning Engineer
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Howard E.
AI course graduate
AI Product Manager
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Greg B.
Machine Learning course graduate
Robotics and Automation Specialist
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Leonard H.
AI course graduate
Natural Language Processing (NLP) Specialist
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.
