Artificial intelligence (AI) and machine learning (ML) have become an essential part of the toolset for many organizations. When used effectively, these tools provide actionable insights that drive critical decisions and enable organizations to create exciting, new, and innovative products.
DurationArtificial intelligence (AI) and machine learning (ML) have become an essential part of the toolset for many organizations. When used effectively, these tools provide actionable insights that drive critical decisions and enable organizations to create exciting, new, and innovative products and services.
This course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, follow a methodical workflow to develop sound solutions, use open source, off-the-shelf tools to develop, test, and deploy those solutions, and ensure thatthey protect the privacy of users.
Course Objectives:
• Specify a general approach to solve a given business problem that uses applied AI and
ML.
• Collect and refine a dataset to prepare it for training and testing.
• Train and tune a machine learning model.
• Finalize a machine learning model and present the results to the appropriate audience.
• Build linear regression models.
• Build classification models.
• Build clustering models.
• Build decision trees and random forests.
• Build support-vector machines (SVMs).
• Build artificial neural networks (ANNs).
• Promote data privacy and ethical practices within AI and ML projects.
Target Students:
The skills covered in this course converge on three areas—software development, applied math and statistics, and business analysis.
Target students for this course may be strong in one or two or these of these areas and looking to round out their skills in the other areas so they can apply artificial intelligence (AI) systems, particularly machine learning models, to business problems.
So the target student may be a programmer looking to develop additional skills to apply machine learning algorithms to business problems, or a data analyst who already has strong skills in applying math and statistics to business problems, but is looking to develop technology skills related to machine learning.
A typical student in this course should have several years of experience with computing technology, including some aptitude in computer programming. This course is also designed to assist students in preparing for the CertNexus® Certified Artificial Intelligence (AI) Practitioner (Exam AIP-110) certification.
Pre-requisite:
To ensure your success in this course, you should have at least a high-level understanding of fundamental AI concepts, including, but not limited to: machine learning, supervised learning, unsupervised learning, artificial neural networks, computer vision, and natural language processing. You can obtain this level of knowledge by taking the CertNexus AIBIZTM (Exam AIZ- 110) course.
You should also have experience working with databases and a high-level programming language such as Python, Java, or C/C++. You can obtain this level of skills and knowledge by taking the following Logical Operations or comparable course:
• Database Design: A Modern Approach
• Python® Programming: Introduction
• Python® Programming: Advanced
At MIGC Australia, we are focused on your future career aspirations. It is Melbourne International Graduate College main priority to enhance your various skills so you can access a range of academic and employment pathways in Australia and reach your educational and professional goals.
By providing the tools to start, maintain and advance careers, we have been the job-relevant trainer of choice. We pride ourselves on making lifelong learning more accessible and affordable to the masses.
By delivering innovative learning resources that map directly to specific job roles, we’re helping individual workers advance their careers and assist employers to match the right people with the right skills for the right jobs.
Our industry leading training with eLearning platform is addressing the national skills gap by delivering engaging and addictive learning programs to train them in every stage of their careers.
Students will learn the essentials of AI including advanced systems containing electronic analog circuits to mimic neuro-biological architectures present in the nervous system. The overview of the course content will be outlined in the curriculum.
Artificial Intelligence Training provides a comprehensive knowledge of Artificial Intelligence and Machine Learning from beginners to Intermediate Level.
This course includes valued and widely recognised certifications from industry leaders AWS and TensorFlow and offers students the opportunity to learn about the most exciting and dynamic field in technology right now, with a high demand for skilled professionals across many industries.
This course is dedicated to enabling students to advance from zero to AI Pro, and get offers for data scientists, machine learning engineers, data analysts, and business analysts in industries such as technology, finance, and consulting.
Artificial Intelligence (AI) is a branch of computer science that focuses on the development of intelligent machines capable of performing tasks that typically require human intelligence and it aims to simulate human-like cognitive processes.
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