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AI & Machine Learning Course

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Start Date: 12/27
Academic Timeline: 335 hours | 13 months
Campus: Live online learning model
Meetings Per Week: 2-3
Rating: 4.8

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.

Industry Impact:

  • Healthcare: AI is revolutionizing diagnostics, drug discovery, and personalized medicine.
  • Finance: ML algorithms are enhancing fraud detection, risk assessment, and algorithmic trading.
  • Manufacturing: AI-powered robotics and predictive maintenance are optimizing production processes.
  • Retail: Recommendation systems and demand forecasting are transforming customer experiences.
  • Transportation: Self-driving vehicles and smart traffic management are redefining mobility.
  • Energy: AI is optimizing grid management and accelerating the transition to renewable energy sources.

Market Growth:

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.

Technological Advancements:

  • Deep Learning: Enabling breakthroughs in natural language processing, computer vision, and generative AI.
  • Reinforcement Learning: Pushing the boundaries of autonomous systems and decision-making AI.
  • Explainable AI: Addressing the critical need for transparency and interpretability in AI systems.
  • Edge AI: Bringing AI capabilities to edge devices, enhancing privacy and real-time processing.

Ethical Considerations:

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.

Why Study Artificial Intelligence at Embedded Academy

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project development
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recorded lessons

Skills you will gain by completing our Artificial Intelligence Course

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Programming Tools and Languages

  • Python for data science and AI
  • SQL for database querying and management
  • TensorFlow for deep learning
  • Scikit-learn for machine learning algorithms
  • Keras for neural network design
  • CUDA for GPU acceleration
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Skills & Techniques

  • Data preprocessing and feature engineering
  • Supervised learning algorithms (regression, classification)
  • Unsupervised learning algorithms (clustering, dimensionality reduction)
  • Deep learning and neural network architectures
  • Natural Language Processing (NLP)
  • Computer Vision and image recognition
  • Reinforcement learning
  • Time series analysis and forecasting
  • Ensemble methods and model stacking
  • Hyperparameter tuning and model optimization
  • Data visualization techniques
  • Transfer learning and fine-tuning
  • Explainable AI and model interpretability
  • Ethics in AI and bias mitigation
  • Cloud-based machine learning (AWS, Google Cloud)

What roles can you perform upon completing the course?

Machine Learning Engineer

Develop and deploy scalable ML models to solve complex business problems, optimizing performance and ensuring seamless integration with existing systems.

Annual Salary
Junior: $71,800 Team Lead: $199,980 Senior: $232,050

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AI Research Scientist

Push 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 Salary
Junior: $114,986 Team Lead: $300,000 Senior: $225,466

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Robotics and Automation Specialist

  • Apply machine learning and AI to control, navigate, and make decisions for robotic systems
  • Develop autonomous and semi-autonomous robots for industrial, commercial, and research applications
  • Optimize robot behavior and decision-making through reinforcement learning and other AI techniques
Annual Salary
Junior: $97,000 Team Lead: $123,784 Senior: $162,898

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private lessons

Who is the AI/ML Course for?

  • College or university graduates interested in specializing in the development of artificial intelligence / AI systems.
  • Those with relevant background and previous experience including development in Python, working with the Linux operating system.
  • Our course is open to everyone, regardless of background
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Admission Requirements

  • Basic computer skills (operating Windows OS).
  • Basic knowledge of mathematics and statistics (no need to be a mathematician, just the basics).
  • No prior programming experience is required.

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 ScienceCourse duration
Machine Learning Fundamentals Course25 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 Course30 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 Course50 academic hours
Learn how to apply ML Fundamental models using libraries and Python programming language tools.
Deep Learning with TensorFlow Course50 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.
Software Programming CoursesCourse duration
Python Course90 academic hours
Focusing on Python 3, you’ll learn to program object-oriented, real-industry applications.
SQL Course30 academic hours
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.
AWS Course35 academic hours
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.
GIT (Version Control) Course25 academic hours
Learn Git’s core features and workflow, different ways to undo changes or save multiple versions, and collaborate with other teams and developers.

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:

  • 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 ScienceCourse duration
Machine Learning Fundamentals Course25 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 Course30 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 Course50 academic hours
Learn how to apply ML Fundamental models using libraries and Python programming language tools.
Deep Learning with TensorFlow Course50 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

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 ScienceCourse duration
Machine Learning Fundamentals Course25 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 Course30 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 Course50 academic hours
Learn how to apply ML Fundamental models using libraries and Python programming language tools.
Deep Learning with TensorFlow Course50 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.
Software Programming CoursesCourse duration
Python Course90 academic hours
Focusing on Python 3, you’ll learn to program object-oriented, real-industry applications.
SQL Course30 academic hours
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.
AWS Course35 academic hours
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.
GIT (Version Control) Course25 academic hours
Learn Git’s core features and workflow, different ways to undo changes or save multiple versions, and collaborate with other teams and developers.

Tuition

Payment Plans

As Low As

$330/Month

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Head of the department
teacher-image-Alex-Shoihat

Meet your instructor

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.

AI ML Certification

Artificial Intelligence & Machine Learning Course 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.

Curriculum customization

2

Tech Training

Students who start with no prior knowledge of the field will receive the fundamentals required to complete the course.

Tech Training

3

Final Project

Working on your course project and internship with experienced developers.

Final Project

4

Internship

Get real-world experience adapted to industry standards and requirements with our team of industry-leading engineers.

Internship

5

Job Interview

Graduates get resume-building assistance, interview simulations and career guidance.

Job Interview

What do our graduates say?

teacher-image-Paul-N.

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.
teacher-image-Howard-E.

Howard E.
AI course graduate

AI Product Manager

As a business leader, the AI/ML program has been instrumental in helping me identify opportunities to leverage intelligent technologies. I've been able to upskill my team and implement data-driven strategies that have given us a significant competitive advantage in the market.
teacher-image-Greg-B.

Greg B.
Machine Learning course graduate

Robotics and Automation Specialist

I was impressed by the breadth and depth of the AI/ML curriculum. The hands-on projects, mentorship from industry experts, and exposure to real-world case studies have given me the confidence to apply advanced machine learning methodologies to solve real-world problems.
teacher-image-Leonard-H.

Leonard H.
AI course graduate

Natural Language Processing (NLP) Specialist

As someone with a background in data analysis, the AI/ML course provided me with the selected skills to take my career forward. I'm now fluent in building and deploying sustainable predictive models that drive strategic decision-making paths.
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FAQ

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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