Develop and deploy scalable ML models to solve complex business problems, optimizing performance and ensuring seamless integration with existing systems.
Annual Salaryclose
The global market for Artificial Intelligence technologies is expected to grow by more than 40% by 2026 - This is one of the fastest-growing sectors in the tech world, creating a surge in demand for skilled AI professionals across all industries, as this cutting-edge field is at the forefront of technological innovation, driving unprecedented advancements across diverse sectors.
Throughout the course program, you will acquire in-depth knowledge in topics such as machine learning, natural language processing, deep learning, and advanced data analysis. You will engage in hands-on projects, operate leading industry tools, gain an understanding of how to effectively implement these technologies across a variety of industries, and upon graduation, will become a highly sought-after professional, equipped with the skills to drive change through advanced AI applications.
The global AI market size is projected to grow from $387.45 billion in 2022 to $1,394.30 billion by 2029, at a CAGR of 20.1% in the forecast period (source: Fortune Business Insights). This explosive growth is creating a surge in demand for skilled AI professionals across all industries.
As AI becomes more pervasive, there's an increasing focus on responsible AI development, addressing issues such as bias mitigation, privacy protection, and the societal impact of AI technologies.
Our comprehensive course is designed to equip you with the knowledge, skills, and practical experience needed to thrive in this rapidly evolving field. As the demand for AI and machine learning experts is becoming increasingly high, now is your chance to enhance your existing technical skillset, obtain a solid foundation and cutting-edge expertise in ML and AI, and power your value and contribution across industries.
Programming Tools and Languages
Skills & Techniques
Develop and deploy scalable ML models to solve complex business problems, optimizing performance and ensuring seamless integration with existing systems.
Annual SalaryPush the boundaries of AI technology by designing novel algorithms, conducting experiments, and publishing cutting-edge research in areas like deep learning and natural language processing.
Annual SalaryAI & 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 Course | 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 Course | 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 Course | 50 academic hours | |
Learn how to apply ML Fundamental models using libraries and Python programming language tools. | ||
Deep Learning with TensorFlow Course | 50 academic hours | |
... | ||
Software Programming Courses | Course duration | |
Python Course | 90 academic hours | |
... | ||
SQL Course | 30 academic hours | |
... | ||
AWS Course | 35 academic hours | |
... | ||
GIT (Version Control) Course | 25 academic hours | |
... |
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 Course | 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 Course | 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 Course | 50 academic hours | |
Learn how to apply ML Fundamental models using libraries and Python programming language tools. | ||
Deep Learning with TensorFlow Course | 50 academic hours | |
... |
Tuition: $7575.00
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:
Machine Learning & Data Science | Course duration | |
---|---|---|
Machine Learning Fundamentals Course | 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 Course | 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 Course | 50 academic hours | |
Learn how to apply ML Fundamental models using libraries and Python programming language tools. | ||
Deep Learning with TensorFlow Course | 50 academic hours | |
... | ||
Software Programming Courses | Course duration | |
Python Course | 90 academic hours | |
... | ||
SQL Course | 30 academic hours | |
... | ||
AWS Course | 35 academic hours | |
... | ||
GIT (Version Control) Course | 25 academic hours | |
... |
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.
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.
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