Advanced Machine Learning with Python

Python is a popular programming language that is widely used for a variety of tasks, including advanced Machine Learning. Advanced Machine Learning with Python course provides a comprehensive insight into the fundamentals and applications of Python programming in advanced Machine Learning programs. This course covers topics like how to use Python libraries and frameworks such as TensorFlow, PyTorch and sci-kit-learn to implement and train Machine Learning models, as well as how to perform tasks such as data preprocessing, feature selection and model evaluation. The course also covers advanced topics such as deep learning, reinforcement learning and natural language processing using Python.

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  • 21 Hours Training
  • Online / Classroom / Onsite
  • 21 Jul, 2024 / 28 Jul, 2024
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What is an Advanced Machine Learning with Python course?

The Advanced Machine Learning with Python course familiarizes professionals with advanced topics and techniques for using Python to implement and work with Machine Learning models. The course provides participants with a strong understanding of the various concepts and techniques in Machine Learning. Participants will be taken through python libraries and frameworks such as TensorFlow, PyTorch and sci-kit-learn to implement various Machine Learning algorithms. The perfect blend of lectures and hands-on sessions enables professionals to build a strong theoretical and practical understanding of the concepts of Python programming and its application in advanced Machine Learning.

Why is it important?

Machine Learning is a rapidly growing field with a high demand for skilled professionals. Having advanced knowledge of Machine Learning techniques and the ability to implement them using the Python programming language can make you a valuable asset to many organizations. This training will equip you with extensive knowledge and skills needed for implementing Python concepts in advanced Machine Learning projects.

Why do companies hire experts having Advanced Machine Learning with Python certification?

Today, companies are looking to gain a competitive edge by implementing the latest Machine Learning techniques. They hire certified professionals for their ability to work with more complex models and techniques that can help companies make better predictions and decisions. They have demonstrated knowledge and experience working with popular tools and libraries in Python which are the foundation of Machine Learning models.

Industry Trends

The field of Machine Learning is rapidly evolving and new trends and advancements are constantly emerging. Advanced Machine Learning with Python certification comes with its own set of merits and opportunities in the market. Let us see how.

Market trends

According to the World Economic Forum, Machine Learning is one of the most in-demand skills for the future, with the number of job openings in the field expected to increase significantly in the coming years. The U.S. Bureau of Labour Statistics estimates that employment of data scientists and Machine Learning engineers will grow by 16% from 2020 to 2030, which is faster than the average for all occupations.

Salary Trends

Machine Learning is becoming vital across different industries. Today, there is a huge demand for Machine Learning engineers and data scientists, and they command high salaries. Based on data from various sources, the average annual salary for a Machine Learning engineer in Dubai is around AED 120,000 to AED 190,000.

Demand & Opportunities

Employment opportunities for Machine Learning professionals are expected to grow in a wide range of industries including finance, healthcare, retail, technology and many more. The Advanced Machine Learning with Python certification course gives an assurance of providing necessary competency in related roles, thus making these opportunities easier to avail.

Here are some of the roles that require Advanced Machine Learning with Python certification in Dubai (as observed in popular Dubai job portals):

  1. Machine Learning Engineers who are responsible for designing, developing, and deploying machine learning models
  2. Data Scientists who use machine learning techniques to extract insight and make predictions from data
  3. Deep Learning Engineers who work with deep neural networks and are responsible for designing, training and deploying deep learning models
  4. Artificial Intelligence Engineers who work on the development and deployment of AI systems, which includes Machine Learning 
  5. Data Analysts who use ML models to collect, analyze and interpret complex data to support decision-making in a company

Course Outcome

Successful completion of the Advanced Machine Learning with Python course will help you to:

  • Build a strong understanding of advanced Machine Learning techniques such as neural networks, deep learning and natural language processing
  • Implement these techniques using Python libraries and frameworks such as TensorFlow, PyTorch and sci-kit-learn
  • Understand advanced techniques for data preprocessing, feature selection and model evaluation
  • Learn advanced techniques to work with large datasets using Pandas, NumPy and other libraries
  • Get introduced to reinforcement learning and its applications

Course Module

  • Basic understanding of syntax, data structures, and functions.
  • Ability to clean, preprocess and manipulate data to prepare it for analysis.
  • Familiarity with popular Python libraries like NumPy, Pandas, Matplotlib, and Scikit-learn.
  • Familiarity with popular machine learning algorithms like Linear Regression, Logistic Regression, Decision Trees, etc.
  • Unsupervised Machine Learning
  • Feature Selection and Extraction
  • Stacked Denoising Auto-encoders
  • Semi-Supervised Learning
  • Improving Machine Learning Results
  • Ensemble Methods

  • Deep Belief Networks (DBNs)

  • Convolutional Neural Networks
  • Text Feature Extraction

Program Dates

21 Jul
  • 12:00 PM
  • Sun
  • Classroom
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28 Jul
  • 02:00 PM
  • Sun
  • Classroom
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Expert Instructors & Teaching Methods

 

 

We, at Learners Point, take immense pride in our teaching methods and instructors. Our instructors are some of the best experts in their fields and employ a practical approach to learning. Many of them are globally recognised and have a diverse set of experience in their field of expertise. You are always sure to have the best in the industry as your teachers who are ready to guide you at every step and make the experience informative yet enjoyable.  Apart from the focus on learning your chosen course, our instructors also encourage students to develop communication skills and interpersonal skills necessary to excel in the practical world.

Our cutting edge teaching methods make every program an immersive and productive experience for the learners. Our learning methods are research-driven and are continuously updated to stay relevant to present times as well as the future. You will enjoy practical applications of everything learned through theory and regular mock examinations to help monitor your progress. Our courses are led by an instructor in a classroom setup and we do offer online high-quality sessions as well for individuals. We also monitor the training sessions with a progress tracker to maintain high standards of instruction & ethics.

Our Trainers

Why Count on Learners Point?


Being the leading provider of Advanced Machine Learning with Python course in Dubai, at Learners Point Academy we help professionals get equipped with the necessary skillset for a successful career ahead.

What can you expect if you join our Advanced Machine Learning with Python course:

  •  We look at real-world scenarios organizations face and formulate our Advanced Machine Learning with Python 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 Advanced Machine Learning with Python 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 Advanced Machine Learning with a Python training programme
  • We also take a discrete approach to career guidance so that one can be successfully placed as a professional

Learners Experience

"The course content was well-structured and covered a broad range of topics, from supervised and unsupervised learning to deep learning and neural networks. I feel like I now have a solid foundation in advanced machine learning that I can build upon in my future work."

Margareta Jacks

Computer Vision Engineer

"I particularly enjoyed the practical exercises and assignments, which challenged me to think creatively and apply the concepts I had learned to solve real-world problems."

Caroline Bracewell

Natural Language Processing (NLP) Engineer

"This course helped me to take my Python skills to the next level and gave me a deeper understanding of the mathematical and statistical principles that underpin machine learning algorithms."

Patrick Southee

AI Researcher

"I appreciated the hands-on approach of the course, which allowed me to apply what I learned in real-world scenarios. I feel much more confident in my ability to work with complex data sets and build sophisticated machine learning models."

Shahidi Noor

Data Scientist

"The advanced machine learning course with Python was challenging but incredibly rewarding. The course materials and instructors were excellent, and I learned a lot about cutting-edge techniques in machine learning."

Abbey Dcosta

Machine Learning Engineer

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!

FAQs on Advanced Machine Learning with Python

Machine Learning is a rapidly growing field that offers many career opportunities for those with the right skills and experience. It is considered to be one of the most in-demand skills for the future, and the number of job openings in the field is expected to grow significantly in the coming years. This makes Machine Learning a good career prospect.
Dubai is investing heavily in technology and automation, which has increased the demand for Machine Learning engineers in various sectors. Furthermore, the Dubai government has announced plans to turn it into a smart city, which will boost the use of AI and Machine Learning in the public sector.
Python for Advance Machine Learning course is ideal for those who want to take their knowledge and skills to the next level. It is best suited for individuals with a strong background in Machine Learning and some experience programming in Python.
At Learners Point Academy, 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 date of exit.
Python is a popular programming language for Machine Learning because it has a large ecosystem of powerful libraries and frameworks that make it easy to implement Machine Learning algorithms and models. Many Machine Learning practitioners and researchers use Python as their primary programming language. Thus professionals with Python programming skills are in strong demand in the Machine Learning field.
The field of Machine Learning is rapidly evolving and new techniques and technologies are being developed all the time. By attending this course, you can gain advanced knowledge and skills in Machine Learning and Python. Furthermore, you will be exposed to the latest developments and trends in the field, which will help you stay relevant with the latest advancements and expand your career opportunities.
The training at Learners Point Academy is interactive, immersive and an intensive hands-on programme. We offer 3 modes of delivery and participants can choose from instructor-led classroom-based group coaching, one-on-one training sessions or high-quality live and interactive online sessions at their convenience.
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