Artificial Intelligence Engineer Course in Melbourne, Australia
Ensure your career success with this Artificial Intelligence certification course in Melbourne, in collaboration with IBM. It features exclusive IBM hackathons, masterclasses, & Ask me anything sessions. Master the concepts of Data Science with Python, machine learning, deep learning, & NLP with live sessions, practical labs, & projects.
- Course 1Introduction to Artificial Intelligence
- Course 2Data Science with Python
- Course 3Machine Learning
- Course 4Deep Learning with Keras and TensorFlow
- Course 5Advanced Deep Learning and Computer Vision
- Course 6AI Capstone Project
- Master's Certificate*You will get individual certificates for each course.
- Elective 1 Natural Language Processing (NLP) +2 More Electives
World’s #1 Online Bootcamp
- Exclusive Hackathons and Live interaction with IBM leadershipIncludes live Master Classes and Ask me anything sessions
- Capstone and 15+ real life projectsBuilt on datasets of Twitter, Wikipedia, Zomato
- 190+ hours of live interactive learningLive Online classes by industry experts
- Annual Average US Salary$92k to $140K
For Business
Customized learning paths, 4x outcomes & completion rates; award-winning client support.
About the Program
About the Artificial Intelligence Engineer Master's program developed in collaboration with IBM
IBM is the second-largest Predictive Analytics and Machine Learning solutions provider globally (source: The Forrester Wave report, September 2018). A joint partnership with Simplilearn and IBM introduces students to integrated blended learning, making them experts in Artificial Intelligence and Data Science. The AI courses in Australia designed in collaboration with IBM will make students industry-ready for Artificial Intelligence and Data Science job roles. IBM is a leading cognitive solutions and cloud platform company, headquartered in Armonk, New York, offering a plethora of technology and consulting services. Each year, IBM invests $6 billion in research and development and has achieved five Nobel prizes, nine US National Medals of Technology, five US National Medals of Science, six Turing Awards, and 10 Inductions in US Inventors Hall of Fame.
What can I expect from this Simplilearn program developed in collaboration with IBM?
Upon completion of this Artificial Intelligence Master's Program in Australia, you will receive the certificates from IBM and Simplilearn in the Artificial Intelligence courses on the learning path*. These certificates will testify to your skills as an expert in Artificial Intelligence. You will also receive the following:
- USD 1200 worth of IBM cloud credits that you can leverage for hands-on exposure
- Access to IBM cloud platforms featuring IBM Watson and other software for 24/7 practice
- Industry-recognized Master’s Certificate from Simplilearn
What are the learning objectives of this Artificial Intelligence Master's program in Australia?
This co-developed Simplilearn and IBM Artificial Intelligence Master’s Program is a blend of Artificial Intelligence, Data Science, Machine Learning, and Deep Learning, enabling the real-world implementation of advanced tools and models. The program is designed to give you in-depth knowledge of Artificial Intelligence concepts including the essentials of statistics required for Data Science, Python programming, and Machine Learning. Through these AI courses in Australia, you will learn how to use Python libraries like NumPy, SciPy, Scikit, and essential Machine Learning techniques, such as supervised and unsupervised learning, advanced concepts covering artificial neural networks and layers of data abstraction and TensorFlow.
Artificial intelligence and Machine Learning will impact all segments of daily life by 2025, with applications in a wide range of industries such as healthcare, transportation, insurance, transport and logistics, and customer service. A role in this domain places you on the path to an exciting, evolving career that is predicted to grow sharply into 2025 and beyond.
Why become an AI Engineer?
The current and future demand is staggering. The New York Times reports candidate shortage for certified AI Engineers, with fewer than 10,000 qualified people in the world to fill these jobs, which according to Paysa earn an average salary of $172,000 per year in the U.S. (or Rs.17 lakhs to Rs. 25 lakhs in India) for AI Engineers with the required skills.What skills will be covered in this Artificial Intelligence Master's program in Australia?
By the end of this AI training in Australia, you will be able to accomplish the following:- Understand the meaning, purpose, scope, stages, applications, and effects of Artificial Intelligence
- Design and build your own intelligent agents, applying them to create practical Artificial Intelligence projects, including games, machine learning models, logic constraint satisfaction problems, knowledge-based systems, probabilistic models, and agent decision-making functions
- Master the essential concepts of Python programming, including data types, tuples, lists, dicts, basic operators, and functions
- Learn how to write your own Python scripts and perform basic hands-on data analysis using Jupyter notebook
- Gain an in-depth understanding of Data Science processes: data wrangling, data exploration, data visualization, hypothesis building, and testing
- Perform high-level mathematical and technical computing using the NumPy and SciPy packages and data analysis with the Pandas package
- Master the concepts of supervised and unsupervised learning models, including linear regression, logistic regression, clustering, dimensionality reduction, K-NN and pipeline, recommendation engine, and time series modeling
- Understand the concepts of TensorFlow, its main functions, operations, and the execution pipeline
- Master advanced topics in Artificial Intelligence, such as convolutional neural networks, recurrent neural networks, training deep networks, and high-level interfaces
- Understand the meaning, purpose, scope, stages, applications, and effects of Artificial Intelligence
What projects are included in this Artificial Intelligence Master's program in Australia?
This Artificial Intelligence Master's program in Australia co-developed with IBM includes over 15 real-life, branded projects in different domains. These projects are designed to help you master the key concepts of Artificial Intelligence like supervised and unsupervised learning, reinforcement learning, support vector machines, Deep Learning, TensorFlow, neural networks, convolutional neural networks, and recurrent neural networks.
This AI training in Australia includes a capstone project allowing you to revisit the concepts learned throughout the courses. You will go through dedicated mentored classes in order to create a high-quality industry project, solving a real-world problem. The capstone project will cover key aspects from exploratory data analysis to model creation and fitting. To complete this capstone project, you will use cutting edge Artificial Intelligence-based supervised and unsupervised algorithms like Regression, Multinomial Naïve Bayes, SVM, Tree-based algorithms, and NLP in the domain of your choice. After successful submission of the project, not only will you be awarded a capstone certificate but you will have a project that can be showcased to potential employers as a testament to your learning.
Project 1: Fare Prediction for Uber | Domain: Delivery (Commerce)
Uber, one of the largest US-based taxi providers, wants to improve the accuracy of fare predicted for any of the trips. Help Uber by building and choosing the right model.
Project 2: Test bench time reduction for Mercedes-Benz | Domain: Automobile
Mercedes-Benz, a global Germany-based automobile manufacturer, wants to reduce the time it spends on the test bench for any car. Faster testing will reduce the time to hit the market. Build and optimize the algorithm by performing dimensionality reduction and various techniques including xgboost to achieve the said objective.
Project 3: Products rating prediction for Amazon | Domain: E-commerce
Amazon, one of the leading US-based e-commerce companies, recommends products within the same category to customers based on their activity and reviews on other similar products. Amazon would like to improve this recommendation engine by predicting ratings for the non-rated products and add them to recommendations accordingly.
Project 4: Demand Forecasting for Walmart | Domain: Sales
Predict accurate sales for 45 stores of Walmart, one of the leading US-based leading retail stores, considering the impact of promotional markdown events. Check if macroeconomic factors like CPI, unemployment rate, etc. have an impact on sales.
Project 5: Improving customer experience for Comcast | Domain: Telecom
Comcast, one of the leading US-based global telecommunication companies wants to improve customer experience by identifying and acting on problem areas that lower customer satisfaction if any. The company is also looking for key recommendations that can be implemented to deliver the best customer experience.
Project 6: Attrition Analysis for IBM | Domain: Workforce Analytics
IBM, one of the leading US-based IT companies, would like to identify the factors that influence the attrition of employees. Based on the parameters identified, the company would also like to build a logistics regression model that can help predict if an employee will churn or not.
Project 7: NYC 311 Service Request Analysis | Domain: Telecommunication
Perform a service request data analysis of New York City 311 calls. You will focus on data wrangling techniques to understand patterns in the data and visualize the major complaint types.
Project 8: MovieLens Dataset Analysis | Domain: EngineeringThe GroupLens Research Project is a research group in the Department of Computer Science and Engineering at the University of Minnesota. The researchers of this group are involved in several research projects in the fields of information filtering, collaborative filtering, and recommender systems. Here, we ask you to perform an analysis using the Exploratory Data Analysis technique for user datasets.
Project 9: Stock Market Data Analysis | Domain: Stock Market
As a part of this project, you will import data using Yahoo data reader from the following companies: Yahoo, Apple, Amazon, Microsoft, and Google. You will perform fundamental analytics, including plotting, closing price, plotting stock trade by volume, performing daily return analysis, and using pair plot to show the correlation between all of the stocks.
Who should take this Artificial Intelligence Master's program in Australia?
With the demand for AI in a broad range of industries, Simplilearn’s AI course in Australia is well suited for a variety of roles and disciplines, including:
- Developers aspiring to be an Artificial Intelligence Engineer or Machine Learning Engineer
- Analytics Managers who are leading a team of analysts
- Information Architects who want to gain expertise in Artificial Intelligence algorithms
- Analytics professionals who want to work in machine learning or artificial intelligence
- Graduates looking to build a career in Artificial Intelligence and machine learning
- Experienced professionals who would like to harness Artificial Intelligence in their fields to get more insight
- Developers aspiring to be an Artificial Intelligence Engineer or Machine Learning Engineer
Tools Covered
Learning Path
- Course 1
Introduction to Artificial Intelligence
Read MoreThis Introduction to Artificial Intelligence (AI) is designed to help learners decode the mystery of artificial intelligence and its business applications. This AI for beginners course provides an overview of AI concepts and workflows, machine learning, deep learning, and performance metrics.
- Course 2Online Classroom Flexi Pass
Data Science with Python
Read MoreThe Data Science with Python certification course provides a complete overview of Python's Data Analytics tools and techniques. Learning Python is a crucial skill for many Data Science roles. Acquiring knowledge in Python will be the key to unlock your career as a Data Scientist.
Industry Projects * - Course 3Online Classroom Flexi Pass
Machine Learning
Read MoreExplore the concepts of Machine Learning and understand how it’s transforming the digital world. An exciting branch of Artificial Intelligence, this Machine Learning certification online course will provide the skills you need to become a Machine Learning Engineer and unlock the power of this emerging field.
Industry Projects * - Course 4
Deep Learning with Keras and TensorFlow
Read MoreThis Deep Learning course with TensorFlow certification training is developed by industry leaders and aligned with the latest best practices. You’ll master deep learning concepts and models using Keras and TensorFlow frameworks and implement deep learning algorithms, preparing you for a career as Deep Learning Engineer.
Powered By - Course 5
Advanced Deep Learning and Computer Vision
Read MoreAdvanced Deep Learning and Computer Vision
- Course 6
AI Capstone Project
Read MoreSimplilearn’s Artificial Intelligence (AI) Capstone project will give you an opportunity to implement the skills you learned in the masters of AI. With dedicated mentoring sessions, you’ll know how to solve a real industry-aligned problem. The project is the final step in the learning path and will help you to showcase your expertise to employers.
Master's Program Certificate
- Electives
Natural Language Processing (NLP)
- Electives
Industry Master Class – Artificial Intelligence
- Electives
Python for Data Science
Get Ahead with Simplilearn's AI Master Certificate
Earn your AI certificate
Our AI Engineer Masters program is exhaustive and this certificate is proof that you have taken a big leap in mastering the domain.
Differentiate yourself with an AI Masters Certificate
The knowledge and Artificial Intelligence skills you've gained working on projects, simulations, case studies will set you ahead of competition.
Share your achievement
Talk about your AI certification on LinkedIn, Twitter, Facebook, boost your resume or frame it - tell your friends and colleagues about it.
Reviews
Leena Jayamohan
Founder & Senior Consultant, WashingtonI took the AI Master’s program, which consisted of multiple classes. Overall the teachers knew the subject and covered what was promised. The industry-related projects were excellent, and it helped put into practice what we learned in the class. I would recommend these classes to anyone planning to enter the Data Analytics field.
Bibhu Dash
BDA-Claims Analytics at American Family Insurance, MadisonI joined Simplilearn with great expectations, as it was recommended to me by a colleague. However, after putting in many hours in the live training, projects, quizzes, and reading materials, now I am feeling much more confident in my work environment. I am very pleased with the AI courses and hope they will help me in my future career growth.
Vishwanath Ragha
BangaloreThe awesome learning experience with Simplilearn. I am in the Artificial Intelligence Engineer Master’s Program. So far, I have completed up to the Data Science with Python course. All the courses are well structured with self-learning, live classes, and assessment. The trainers are good, connect to students, and answer questions. Happy learning.
Janani Varun
ChennaiI would give a 5-star rating for the Simplilearn AI course I took. It helps me understand the content easily through online self-learning videos, and trainers assist us with their enriched knowledge, as well.
Sneha Patil
MumbaiI'll give it a five-star rating...I enrolled in the Artificial Intelligence course…the course content, shared drive, documents, pdf files, and — most importantly, the trainer — all are awesome. If you want to explore and gain knowledge, for sure go for Simplilearn.
Karan Pal Singh Bagga
Sr. Data Analyst, BangaloreIt is my first experience with Simplilearn, and it is fantastic. The AI course content is excellent as compared to any other institute. Faculties are very experienced and skillful.
Sajitha Smiley Masilla Mony
Lecturer, Kuala LumpurThe AI course curriculum was beneficial in real-world scenarios and was up-to-date. The faculties are skillful and well experienced. The class sessions are very interactive, and the faculties are always ready to clear our doubts to their best. Also, the flexible class helps us to learn the same course with other faculty and gain more knowledge.
Sudipta Samanta
BangaloreThe AI courses are well-structured with self-learning, live classes, projects & assessment. The trainers are well trained, connect well with the students, and are good at resolving your questions. The course content is excellent.
Shailender Kumar
GurgaonThe Deep Learning with Tensorflow course was handled very well by the Simplilearn instructor – Mr. Shivendra Kumar. He took many pains to advance this highly technical course and answered all students’ questions (even multiple times) clearly without compromising the quality of the training. I recommend this course and the faculty.
Why Online Bootcamp
- Develop skills for real career growthCutting-edge curriculum designed in guidance with industry and academia to develop job-ready skills
- Learn from experts active in their field, not out-of-touch trainersLeading practitioners who bring current best practices and case studies to sessions that fit into your work schedule.
- Learn by working on real-world problemsCapstone projects involving real world data sets with virtual labs for hands-on learning
- Structured guidance ensuring learning never stops24x7 Learning support from mentors and a community of like-minded peers to resolve any conceptual doubts
FAQs
What is Artificial Intelligence?
Artificial Intelligence is a branch of computer science that involves the development of computer systems that mimic a human brain and enable them to perform tasks that usually require human intelligence. Computers can be trained to accomplish tasks by processing large volumes of data and recognizing patterns in that data using different AI techniques.
What does an Artificial Intelligence Engineer do?
An Artificial Intelligence Engineer works with Machine Learning algorithms, neural networks, and other techniques in various types of business worldwide. They build, test, and deploy Artificial Intelligence models and are responsible for maintaining the Artificial Intelligence infrastructure. This role can have many responsibilities in an organization, such as:
- Coordinating between Data Scientists and Business Analysts
- Automating infrastructure used by the data science and engineering teams
- Testing, deploying, and converting Machine Learning models and algorithms into APIs so that other applications can access them, and develop viable products based on Machine Learning
How do I become an Artificial Intelligence Engineer?
The Artificial Intelligence Master’s Program in Australia will give you an insight into Artificial Intelligence tools and methodologies to prepare you for success in your role as an Artificial Intelligence Engineer. The industry-recognized certification from IBM and Simplilearn will attest to your new skills and on-the-job expertise. The program will train you on Python, Machine Learning techniques, including data reprocessing, regression, clustering, and Deep Learning methodologies and its applications using TensorFlow.
What can I expect from the Artificial Intelligence Master's program in Australia?
As a part of this AI online course in Australia co-developed with IBM, you will receive the following:
- Lifetime access to e-learning content for all of the courses included in the learning path (*only for Simplilearn courses)
- Industry-recognized certificates from IBM* and Simplilearn upon successful completion of the program
- $1200 USD worth of IBM cloud credits that you can leverage for hands-on exposure
- Access to IBM cloud platforms featuring IBM Watson and other software for 24/7 practice
- Lifetime access to e-learning content for all of the courses included in the learning path (*only for Simplilearn courses)
How do I earn the AI Courses Master's certificate?
Upon completion of the following minimum requirements, you will be eligible to receive the certificate that will testify to your skills as an Artificial Intelligence Engineer.
Course
Course completion certificate
Criteria
Introduction to Artificial Intelligence (AI)
Required
85% of Online Self-paced completion and Pass Assesment test at 80%
Data Science with Python
Required
85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, a score above 75% in course-end assessment and successful evaluation in at least 1 project
Machine Learning
Required
85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom and successful evaluation in at least 1 project
Deep Learning with Keras and TensorFlow
Required
Attend 1 Live Virtual Classroom and successful evaluation in at least 1 project and score 70% for course-end assesment.
Advanced Deep Learning and Computer Vision
Required
Attend 1 LVC batch, Pass a Project, Pass an Assesment test 70%
AI Capstone Project
Required
Attendance of 1 Live Virtual Classroom and successful completion of the capstone project
*For which all AI courses will I get certificates from IBM?
Following are the list of AI courses for which you will get IBM certificates:
- Python for Data Science
- Deep Learning with Keras and Tensorflow
Our Melbourne Correspondence / Mailing address
Simplilearn's Artificial Intelligence Engineer Course in Melbourne, Australia
Level 28, 303 Collins St Melbourne VIC 3000 Australia
Find AI & Machine Learning Programs in Melbourne
Post Graduate Program in AI and Machine LearningMachine LearningIntroduction to Artificial IntelligenceDeep Learning with Keras and TensorFlow- Disclaimer
- PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.