Machine Learning Foundation

The Machine Learning Foundation course is designed to help professionals gain a deep understanding of the concepts, techniques, and mathematical frameworks used by experts in Machine Learning. The Machine Learning Foundation course in Dubai is structured with an aim to make valuable machine learning skills more accessible to individuals to have a promising career.

Accredited By

  • 3 weeks | 40 hours Bootcamp
  • Online / Offline / Blended
  • 8 Oct, 2021 / 5 Nov, 2021
  • Additional Program Dates
  • 100K+ Happy Students

(400+ Google Reviews)

Enquire Now

What is this Machine Learning Foundation course all about?

The Machine Learning Foundation course in Dubai introduces participants to the essential elements of Machine Learning. This Machine Learning training offers an overview of aspects and specifics of Machine Learning, including basic concepts, applications, algorithms, and data sets. With a combination of in-depth theoretical and practical study, participants are trained to apply state-of-the-art algorithms in their professional practice, with a focus on practical applications.

What is this Machine Learning Foundation course all about?

The Machine Learning Foundation course in Dubai introduces participants to the essential elements of Machine Learning. This Machine Learning training offers an overview of aspects and specifics of Machine Learning, including basic concep...

Read More

Why is getting trained in Machine Learning Foundation important?

The Machine Learning course is intended to help professionals of all skill levels get started with Machine Learning. With Machine Learning and Artificial Intelligence taking over the global business, machine learning skills are essential for staying relevant in the industry. This Machine Learning training enables professionals to understand Machine Learning concepts and start their careers in this emerging field.

Why is getting trained in Machine Learning Foundation important?

The Machine Learning course is intended to help professionals of all skill levels get started with Machine Learning. With Machine Learning and Artificial Intelligence taking over the global business, machine learning skills are ess...

Read More

Why do companies hire professionals with Machine Learning Foundation certification?

Machine Learning certified professionals can analyze large amounts of data in real-time for getting accurate and structured results. Companies are hiring certified Machine Learning professionals for their excellent data management skills and ability to help companies leverage their business over others using AI and Machine Learning technologies.

Why do companies hire professionals with Machine Learning Foundation certification?

Machine Learning certified professionals can analyze large amounts of data in real-time for getting accurate and structured results. Companies are hiring certified Machine Learning professionals for their excelle...

Read More

Industry Trends

With every organization digitizing its operations and taking advantage of Data Science tools, Artificial Intelligence, Machine Learning, the demand for skilled professionals in these domains is always high. The Machine Learning Foundation certification comes with its own set of merits and opportunities in the market. Let us see how.

Market trends Market trends

In 2020, the fastest-growing job title in the world was that of the Machine Learning (ML) Engineer, and the demand for this role is set to rise for the foreseeable future. With 94% of job advertisements, Machine Learning Engineer jobs dominate the job postings. According to a report by Indeed, Machine Learning Engineer ranks first in the job list in terms of salary, growth of postings, and general demand.

Salary Trend Salary Trends

The Machine Learning career boasts a current average salary of $146,085 with a growth rate of 344% last year. According to the U.S. Bureau of Labor Statistics, the outlook for all types of computer and technology occupations is extremely favorable and is expected to grow by about 11% from 2019 to 2029. An entry-level Machine Learning Engineer with 1-3 years of experience in the UAE earns an average salary of AED 221,314 per annum.

Demand & Opportunities

Careers in Machine Learning and Artificial Intelligence are creating generous opportunities to innovate and carve one’s own career path. The Machine Learning Foundation certification gives an assurance of the necessary competency in related roles, thus making these opportunities easier to avail.

A few of the most-sought Machine Learning jobs available in the Dubai region (as observed in popular Dubai job portals) follow:

  1. Data Scientists combine computer science, modeling, statistics, analytics, and math skills to help organizations to solve vexing problems
  2. Big Data Engineers develop, construct, test, and maintain large-scale data processing systems and databases
  3. Machine Learning Engineers create programs and algorithms that enable machines to take actions without being directed
  4. AI Engineers build AI models using machine learning algorithms and deep learning neural networks to draw business insights
  5. Robotics Scientists research, develop, design, and build mechanical devices, robotics systems, and applications that are implemented to perform a variety of tasks in industries

Course Outcome

Successful completion of the Machine Learning Foundation course will help you to:

  • Gain in-depth knowledge of Machine Learning concepts

  • Understand a wide variety of topics in Machine Learning and Statistical Modeling

  • Identify potential applications of Machine Learning in practice

  • Familiarize with supervised and unsupervised learning

  • Apply Machine Learning concepts to your daily tasks at your workplace

Course Module

  • What is Machine Learning
  • Applications of Machine Learning
  • Machine Learning vs Artificial Intelligence
  • Machine Learning Languages and platforms
  • Machine Learning vs Statistical Modelling
  • Simple Linear Regression : Theory, Implementing in Python (and R), Working on use case
  • Multiple Linear Regression : Theory, Implementing in Python (and R), Working on use case
  • K-Nearest Neighbors : Theory, Implementing in Python (and R), KNN advantages, Working on use case
  • Decision Trees : Theory, Implementing in Python (and R), Decision |Tree Pros and Cons, Working on use case
  • Random Forests : Theory, Implementing in Python (and R), Reliability of Random Forests, Working on use case
  • K-Means Clustering: Theory, Euclidean Distance method.
  • K-Means hands on with Python (and R)
  • K-Means Advantages & Disadvantages
  • Hierarchical Clustering : Theory
  • Hierarchical Clustering with Python (and R)
  • Hierarchical Advantages & Disadvantages
  • Popular Machine Learning Algorithms
  • Clustering, Classification and Regression
  • Supervised vs Unsupervised Learning
  • Application of Supervised Learning Algorithms
  • Application of Unsupervised Learning Algorithms
  • Overview of modeling Machine Learning Algorithm : Train , Evaluation and Testing.
  • How to choose Machine Learning Algoritham
  • Naive Bayes Classifier: Theory, Implementing in Python (and R), Why Naive Bayes is simple yet powerful, Working on use case
  • Support Vector Machines: Theory,Support vector machines with Python and R, Improving the performance with Kernals, Working on use case
  • Association Rules: Theory, Implementing in Python (and R),Working on use case
  • Model Evaluation: Overfitting & Underfitting
  • Understanding Different Evaluation Models
  • Dimensionality Reduction: Feature Extraction & Selection
  • Principal Component Analysis (PCA) : Theory, Eigen Vectors
  • PCA example with Python (and R) with use case
  • Advantages of Dimensionality Reduction
  • Application of Dimensinality Reduction with case study
  • Collaborative Filtering & Its Challenges

Course Module

  • What is Machine Learning
  • Applications of Machine Learning
  • Machine Learning vs Artificial Intelligence
  • Machine Learning Languages and platforms
  • Machine Learning vs Statistical Modelling
  • Popular Machine Learning Algorithms
  • Clustering, Classification and Regression
  • Supervised vs Unsupervised Learning
  • Application of Supervised Learning Algorithms
  • Application of Unsupervised Learning Algorithms
  • Overview of modeling Machine Learning Algorithm : Train , Evaluation and Testing.
  • How to choose Machine Learning Algoritham
  • Simple Linear Regression : Theory, Implementing in Python (and R), Working on use case
  • Multiple Linear Regression : Theory, Implementing in Python (and R), Working on use case
  • K-Nearest Neighbors : Theory, Implementing in Python (and R), KNN advantages, Working on use case
  • Decision Trees : Theory, Implementing in Python (and R), Decision |Tree Pros and Cons, Working on use case
  • Random Forests : Theory, Implementing in Python (and R), Reliability of Random Forests, Working on use case
  • Naive Bayes Classifier: Theory, Implementing in Python (and R), Why Naive Bayes is simple yet powerful, Working on use case
  • Support Vector Machines: Theory,Support vector machines with Python and R, Improving the performance with Kernals, Working on use case
  • Association Rules: Theory, Implementing in Python (and R),Working on use case
  • Model Evaluation: Overfitting & Underfitting
  • Understanding Different Evaluation Models
  • K-Means Clustering: Theory, Euclidean Distance method.
  • K-Means hands on with Python (and R)
  • K-Means Advantages & Disadvantages
  • Hierarchical Clustering : Theory
  • Hierarchical Clustering with Python (and R)
  • Hierarchical Advantages & Disadvantages
  • Dimensionality Reduction: Feature Extraction & Selection
  • Principal Component Analysis (PCA) : Theory, Eigen Vectors
  • PCA example with Python (and R) with use case
  • Advantages of Dimensionality Reduction
  • Application of Dimensinality Reduction with case study
  • Collaborative Filtering & Its Challenges

Program Dates

18 Oct
  • 07:00 PM
  • Mon
  • Online Live
Enquire Now
28 Oct
  • 11:00 AM
  • Thu
  • Classroom
Enquire Now
5 Nov
  • 11:00 AM
  • Fri
  • Classroom
Enquire Now

Expert Instructors & Teaching Methods

 

 

Learners Point has a reputation for high-quality training that makes a difference in people’s lives. We undertake a practical and innovative approach to working closely with businesses to improve their workforce. Our expertise is wide-ranging with ample support from our expert trainers who are globally recognized and hold a diverse set of experiences in their field of expertise. We are proud of our instructors who take ownership of our distinctive and comprehensive training methodologies, help our students imbibe those with ease, and accomplish gracefully.

We at Learners Point believe in encouraging our students to embark upon a journey of lifelong learning and self-development, with the aid of our comprehensive and distinctive courses tailored to current market trends. The manifestation of our career-oriented approach is what we assure through a pleasant professional enriched environment with cutting-edge technology, and an outstanding while highly acknowledged training staff that uses up-to-date methodologies and quality course material. With our aim to mold professionals to be future leaders, our industry expert trainers provide the best in town mentorship to our students while endowing them with the thirst for knowledge and inspiring them to strive for professional and human excellence.

Our Trainer

Learners Point Certificate

Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.

KHDA Certificate

Earn a KHDA attested Course Certificate. The Knowledge and Human Development Authority (KHDA) is the educational quality assurance and regulatory authority of the Government of Dubai, United Arab Emirates.

Why Count on Learners Point?

Being the leading providers of the Machine Learning Foundation course in Dubai, at Learners Point we help professionals master the necessary skill sets to successfully complete the Machine Learning Foundation certification.

Following are the USPs our Machine Learning Foundation training course offers you:

  • We look at real-world scenarios organizations face and formulate our Machine Learning Foundation training course evaluating practical requirements
  • Apart from theoretical knowledge, we also focus on practical case studies to give you a reality check and insight into what exactly will be asked of you while delivering in a demanding role
  • Our bespoke Machine Learning course also equips you with hands-on experience by offering assignments related to the actual work environment
  • Apart from organizing group sessions, we also offer a guided learning experience to enhance the quality of our Machine Learning training program
  • We also take a discrete approach to career guidance so that one can be successfully placed as a professional

Learners Experience

Our Graduates

Our graduates are from big companies, small, companies, they are founders, career changers and life long learners. Join us and meet your tribe!

Frequently Asked Questions

The global job growth for AI and Machine Learning jobs has increased by almost 75% over the past four years and is poised to keep growing. Pursuing a career in Machine Learning is a solid choice for high-paying jobs that will be in demand for decades.
Machine Learning is expected to transform virtually every industry and customer experience we know today. This Machine Learning Foundation course in Dubai introduces you to the essential elements of Machine Learning. This Machine Learning course in Dubai provides you with excellent data management skills necessary to have a promising career in this field.
The Machine Learning Foundation course in Dubai does not presume or require any prerequisites. However, to understand the concepts presented and complete the exercises, we recommend that students have familiarity with statistics and possess basic programming knowledge.
At Learners Point, if a participant doesn’t wish to proceed with the training after the registration due to any reason, he or she is entitled to a 100% refund. However, the refund will be issued only if we are notified in writing within 2 days from the date of registration. The refund will be processed within 4 weeks from the day of exit.
This Machine Learning Foundation course offers a comprehensive introduction to the fundamentals of Machine Learning for Information Technology professionals. This training enables you to understand Machine Learning concepts which are essential for staying relevant in the industry. This course approves of your sound domain knowledge and hence invites numerous opportunities.
This Machine Learning Foundation course in Dubai is ideal for:

1) Anyone looking to build a career in Data Science and Machine Learning
2) Individuals aspiring to be Data Scientist, Big Data Analysts, Analytics Manager/Professionals, Business Analyst, Developer
3) Professionals employed in organizations that are planning to shift to Big data tools
The training sessions at Learners Point are interactive, immersive, and intensive hands-on programs. We offer 3 modes of delivery and participants can choose from instructor-led classroom-based group coaching, one-to-one training session, or high-quality live and interactive online sessions as per convenience.

Frequently Asked Questions

The global job growth for AI and Machine Learning jobs has increased by almost 75% over the past four years and is poised to keep growing. Pursuing a career in Machine Learning is a solid choice for high-paying jobs that will be in demand for decades.
This Machine Learning Foundation course offers a comprehensive introduction to the fundamentals of Machine Learning for Information Technology professionals. This training enables you to understand Machine Learning concepts which are essential for staying relevant in the industry. This course approves of your sound domain knowledge and hence invites numerous opportunities.
Machine Learning is expected to transform virtually every industry and customer experience we know today. This Machine Learning Foundation course in Dubai introduces you to the essential elements of Machine Learning. This Machine Learning course in Dubai provides you with excellent data management skills necessary to have a promising career in this field.
This Machine Learning Foundation course in Dubai is ideal for:

1) Anyone looking to build a career in Data Science and Machine Learning
2) Individuals aspiring to be Data Scientist, Big Data Analysts, Analytics Manager/Professionals, Business Analyst, Developer
3) Professionals employed in organizations that are planning to shift to Big data tools
The Machine Learning Foundation course in Dubai does not presume or require any prerequisites. However, to understand the concepts presented and complete the exercises, we recommend that students have familiarity with statistics and possess basic programming knowledge.
The training sessions at Learners Point are interactive, immersive, and intensive hands-on programs. We offer 3 modes of delivery and participants can choose from instructor-led classroom-based group coaching, one-to-one training session, or high-quality live and interactive online sessions as per convenience.
At Learners Point, if a participant doesn’t wish to proceed with the training after the registration due to any reason, he or she is entitled to a 100% refund. However, the refund will be issued only if we are notified in writing within 2 days from the date of registration. The refund will be processed within 4 weeks from the day of exit.
Call Now Enquire Now