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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 the ML model, 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 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.

Training Duration

8 hours

Access Duration

Lifetime

Access Mode

Self-paced

Certification Exam

Online

Certification by Global Tech Council

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MODULES INCLUDED

Overview

Introduction

Machine Learning Models & Datasets

Models and their compatibility with the Dataset

Performance of ML Models

Confusion matrix
Accuracy, Precision, Recall & F1-score
AUC-ROC curve
LOG-LOSS Function

Improving Performance of ML Models

Cross-Validation
Hyperparameter Tuning
Dimensionality Reduction
Feature selection using the wrapper method
Feature selection using the filter method
Feature selection using the embedded method
Feature extraction
Feature extraction: PCA
Feature extraction: LDA
Ensemble Modeling: Bagging
Ensemble Modeling: Boosting

Deep Learning

Introduction to Deep Learning
Introduction to optimization
Gradient Descent
Activation function
Neural Networking
Keras
Tensorflow
Computer Vision
Backtracking

Artificial Intelligence

Introduction to artificial intelligence
NLP

Limitation of Artificial Intelligence

Setbacks of Artificial Intelligence

Certified Advanced ML Develper™-Exam

A multiple-choice exam of 100 marks will follow online training.
You need to acquire 60+ marks to clear the exam.
If you fail, you can retake the exam after one day.
You can take the exam no more than 3 times.
If you fail to acquire 60+ marks even after three attempts, you need to contact us to get assistance in clearing the exam.

RECOMMENDED LEARNING METHODOLOGY

Recommend allocating 1 hour daily in order to complete the course in a span of 8 days.
Though you can attempt the online exam anytime as per your convenience, we highly recommend attempting the exam within 9 days of course completion, as the subject will be fresh in your mind and you get sufficient time to prepare/revise as well.

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

Top job functions

Cyber Security Professional
Software Developers
Database Administrators
IT Security Engineers
Others

Machine learning is a subsection of artificial intelligence. ML aims to create algorithms and systems that can evaluate processes and learn from data. The growth of machine learning and the use of 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 of 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. In finance, ML can help improve efficiencies and serve clients with better offers and services.
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 along with a better understanding of models and datasets, deep learning, and also artificial learning.