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Machine Learning Specialization

Dive into Machine Learning and gain expertise in this innovative field.
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Benefits of becoming
part of our community

Embark on a transformative educational journey alongside like-minded individuals through our innovative online, part-time programs designed to elevate your learning experience.

Flexible Learning

Our programs offer a combination of self-paced coursework and live sessions with industry professionals to clarify concepts and enhance your understanding.

Convenient Schedule

Enjoy the flexibility of our part-time, online program to fit your busy life and commitments.

Instructor-Led Cohort

Join a cohort led by expert instructors who provide guidance, support, and valuable insights throughout your learning experience.

Hands-On Projects

Engage in practical capstone projects, either self-designed or in collaboration with industry partners, to showcase your skills.

Collaborative Cohort

Stay motivated and inspired by the support of your cohort peers and our dedicated team throughout your learning journey.

Career Support

Access exclusive career services, including career fair, interviews, projects, and sourcing opportunities, to accelerate your career growth.

Program Curriculum

1 Week

Data Science Foundations

Skills Gained

  • Data preparation
  • Data visualization understanding & tools
  • Data manipulation and transformation
  • Databases
  • Dealing with varying data types

Learning Outcomes

You will discover the Data Science lifecycle and explore its different aspects in detail. You will also learn the basics of databases, different data types you will encounter in your study, and different treatment methods for data.

2 Weeks

Machine Learning Foundations

Skills Gained

  • Machine learning algorithm design
  • Working with supervised learning algorithms
  • Working with unsupervised learning algorithms
  • Choosing the best algorithm for a given problem

Learning Outcomes

You will focus on understanding what a machine learning algorithm is composed of, get introduced to the most popular algorithms and explore their mathematical formulations, and be able to select the best model to build and train on different real-world problems.

1 Week

Statistical Model Validation & Testing

Skills Gained

  • Evaluation criteria for different types of algorithms
  • Statistical hypothesis testing
  • Fair comparison of machine learning models
  • Improving machine learning models

Learning Outcomes

You will discover common mistakes and mishaps in evaluation of machine learning methods. You will learn different evaluation criteria as well as statistical methods that guarantee your model comparisons are accurate and statistically supported.

1 Week

Neural Networks & Deep Learning

Skills Gained

  • Neural network architecture and design
  • Backpropagation algorithm
  • Keras deep learning library in Python
  • Debugging deep learning models
  • Improving deep learning

Learning Outcomes

You will learn about neural networks’ mathematical foundations and why neural networks have brought about great advancements to the field of Machine Learning. You will get introduced to deep learning libraries in Python and discover techniques for improving deep learning models’ performance.

2 Weeks

Deep Learning in Advanced Data Types

Skills Gained

  • Data processing practices for images, text, and time-series
  • Convolutional neural networks design and implementation practices
  • Recurrent neural networks design and implementation practices

Learning Outcomes

You will learn about new deep learning architectures suitable for different data types. You will understand what makes these data types unique and why there is a need to make use of advanced deep learning designs. You will explore foundations of the Computer Vision, Natural Language Processing, and Time-series signals fields.

1 Week

Transformers & Large Language Models

Skills Gained

  • Gain a deep understanding of Transformers in NLP
  • Acquire knowledge about the application of Transformers in the field of Computer Vision
  • Proficiency in training and fine-tuning large language models
  • Master prompt engineering to effectively interact with large language models

Learning Outcomes

You will gain a comprehensive understanding of LLMs and Transformer architectures, crucial in the evolution of NLP. Including insights into the Transformer model’s unique self-attention mechanism, distinctions from previous architectures. You will acquire practical skills in fine-tuning models, employing techniques like LoRA and QLoRA, enhancing their ability to optimize performance.

2 Weeks

Machine Learning in Production

Skills Gained

  • Best practices in machine learning development
  • Machine learning deployment
  • Maintaining & monitoring models after deployment
  • How to scale model training and model deployment
  • Machine learning solutions on the cloud

Learning Outcomes

Now that your foundation is solid, you will explore machine learning in practice: what are the challenges commonly faced when these models are deployed in real-world and how to overcome them, what are some best practices to abide by, and what are tools that can help you scale to real-world implementations.

Industry Certifications

After graduating from the Machine Learning Specialization, you will have the opportunity to get certified by CertNexus.

Learn More

OUR ALUMNI

Play Video

Wissam Moussa

Changing career and becoming a Machine Learning Engineer in 16 weeks
Play Video

Fatima Ksayrawi

From 0 knowledge in Machine Learning to a Machine Learning Engineer
Play Video

Hassan Kanaan

From Software Engineering to Machine Learning Engineer

ENROLLMENT PROCESS

01

APPLY

Complete you program application by taking a technical assessment

02

INTERVIEW

Go through a general interview to make sure that the program is the right fit for you.

03

ACCEPTANCE

Receive an official acceptance for enrollment.

How Does The Certification Program
Prepare You For The Job Market?

  • Master fundamental concepts and the language of Machine Learning
  • Learn how to best represent yourself to recruiters in the Machine Learning space
  • Work in a team to solve a real-world, research-oriented challenge
  • Gain the skills to become a sufficient self-learner and investigator in the field of Machine Learning
  • Learn the best practices for Machine Learning in development and in research settings
  • Be guided by AI instructors and engineers to learn from real-life practitioners
  • Gain the soft skills to become a full-stack fit in a diverse Machine Learning team in the job market

PRICE

PER PERSON

$2,967

Different financing options available

  • Recorded sessions including lectures and coding labs
  • Live instructor-led online workshops
  • Learn from others: invited online talks & discussions
  • Weekly office hours & round-the-clock advising
  • Group capstone project with guided mentorship
  • Career development workshops & mentorship
Register now

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