Certified Advanced ML Developer™

Machine learning (ML) is currently one of the most trending topics in the technical world. ML provides robust algorithms and approaches that may be used to automate any Analytical Model. Machine learning developers create programs that enable machines to perform without direct human intervention. They are skilled engineers who conduct research, develop, and implement self-running software to automate Prediction Models.


Global Tech Council presents this Certified Advanced ML Developer Course. In this certification course, you will learn advanced concepts like ML models and datasets, improving the performance of ML models, deep learning artificial intelligence, and the limitations of artificial intelligence. Not only this, but the course will also equip you with the necessary knowledge and skills to become a competent, job-ready professional who can engage in a wide range of activities in the field of data science.

  • Know what it means to be a Machine Learning Developer?

  • Understand various concepts and techniques in Data Science.

  • Gain in-depth knowledge about ML models and Datasets, Deep Learning, and Artificial Intelligence.

  • Have hands-on experience in improving the performance of ML models and datasets.

MODULES INCLUDED

Module 0: Introduction

  • Introduction


Module 1: Machine Learning Models & Datasets

  • Models and their compatibility with the dataset

Module 2: Performance of ML Models

  • Confusion matrix

  • Accuracy, Precision, Recall & F1-score

  • AUC-ROC curve

  • Log-loss function

Module 3: Improving Performance of ML Models

  • Cross-Validation

  • Hyperparameter Tuning

  • Dimensionality Reduction

Module 4: Feature Selection

  • Feature selection using the wrapper method

  • Feature selection using the filter method

  • Feature selection using the embedded method

Module 5: Feature extraction

  • Feature extraction

  • Feature extraction: PCA

  • Feature extraction: LDA

  • Ensemble Modeling: Bagging

  • Ensemble Modeling: Boosting

 Module 6: Deep Learning

  • Introduction to Deep Learning

  • Introduction to optimization

  • Gradient Descent

  • Activation function

Module 7: Getting into Neural Networks

  • Neural Networking

  • Keras

  • Tensorflow

  • Computer Vision

  • Backtracking

 MODULE 8: Artificial Intelligence

  • Introduction to Artificial Intelligence 

  • NLP

MODULE 9: Limitation of Artificial Intelligence

  • Setbacks of Artificial Intelligence

  • Project Work

RECOMMENDED LEARNING METHODOLOGY

  • Recommend allocating 1 hour daily to complete the course in 8 days.

  • Though you can attempt the online exam anytime at your convenience, we highly recommend attempting the exam within 9 days of course completion. The subject will be fresh in your mind, and you get sufficient time to prepare/revise.


CERTIFICATION BENEFITS

  • Grasp an in-depth understanding of Machine Learning.

  • Have a detailed overview of the different techniques used in machine learning.

  • Have an overview of the various models and datasets in machine learning.


WHAT DO YOU GET?

  • Global Tech Council Certification

  • Lifetime access to the course content

  • 24*7 Support for all your queries


CAREER FACTS


Machine learning is a subsection of artificial intelligence. ML aims to create algorithms and systems to evaluate processes and learn from data. The growth of machine learning and deep learning is trending these days. However, machine learning is impossible without data. ML algorithms need to be fed with accurate and labeled data. Machine learning is undeniably beneficial to everyone.


What does a Certified Advanced ML Developer do?


A Machine Learning Developer’s responsibilities will vary depending on the industry, organization, and team with whom they work. While the core task in the industry is to design, implement, and maintain machine learning systems using data science and computer science fundamentals, this can take many different forms depending on the type of project given.


The Growth Curve ahead


Upon completing this certification, you will have multiple opportunities in various fields related to machine learning. You can be:

  • AI / MI Developer

  • Data Scientist

  • Human-centered AI systems designer

  • Robotics Engineer


What are the domains where ML Developers work?

  • Supply-chain management: ML developers can work in the supply-chain industry. They assist in managing the supply network efficiently. 
    Machine learning algorithms provide insights on how supply chain performance can be enhanced and helps in determining and forecasting the growth of the company.

  • Financial Sector: ML developers can be employed in the financial sector to detect frauds, automate trading activities and provide financial advisory services to investors. ML can help improve efficiencies and serve clients with better offers and services in finance.

  • Healthcare Industry: Machine learning is also used in the healthcare sector. It helps manage and store medical records and data; it also helps in medical diagnosis and detecting illness at an early stage. The scope of machine learning in the medical field is increasing as advanced technology is updated now and then. 


  • Automotive Industry: Machine learning is developing and impacting the automotive industry. ML enables the automotive industry to improve manufacturing, increase the supply chain, and make the driving experience safer and more comfortable.


Final Outcome

After completing this certification, you will be able to master the advanced concepts of machine learning and a better understanding of models and datasets, deep learning, and artificial learning. 

Bundle includes

Here are all the courses that are included in your bundle.