According to a Forrester Wave Report of September 2018, IBM is the second-largest Predictive Analysis and Machine Learning solutions contributor in the services industry. An academic collaboration of Simplilearn and IBM like this AI Course, brings you one of the most comprehensive Artificial Intelligence courses throughout the country. Simplilearn’s Artificial Intelligence Course in Melbourne offered as an IBM collaboration for equipping professionals and students across the world with job-ready skills while getting them up-to-date with the recent developments in the field. With the help of this Artificial Intelligence Course in Melbourne you can secure job profiles in the domains of Artificial Intelligence, Machine Learning, and Data Science, three of the fastest growing professional fields globally.
IBM is one of the leading companies offering cognitive and cloud platform services with a niche focus on technology and consultation. Headquartered in New York, IBM is one of the largest technology companies that invests massive amounts of money (over $6 billion according to the latest reports) in different fields of technology research resulting in several accolades that the company is conferred upon including five Nobel prizes, nine US National Medals in Technology, six Alan Turing Awards, and many more. IBM has spearheaded several domains in technology and with Simplilearn, we bring you an Artificial Intelligence course that can help you attain the extraordinary and give your resume the necessary boost it requires.
What can I expect from this Simplilearn AI course in Melbourne developed in collaboration with IBM?
Once you have completed the AI course in Melbourne with Simplilearn, you will get a Master's certificate in Artificial Intelligence. The credentials are evidence of your expertise as an artificial intelligence expert. After you have completed the Artificial Intelligence course in Melbourne, you will also receive the following benefits:
The Simplilearn-IBM co-developed Artificial Intelligence course combines AI, data science, ML, and deep learning to deploy state-of-the-art instruments and models in the real world. The AI Course in Melbourne is designed to help you possess a very strong grasp of the most essential concepts of artificial intelligence, which include data science basics, a work-ready understanding of python programming, and strong grasp of machine learning statistics.
In this Artificial Intelligence Course in Melbourne, you will learn how to use Python libraries such as NumPy, SciPy, Scikit-learning, and essential machine learning principles including artificial neural networks, data abstraction layers, and TensorFlow.
Artificial Intelligence and Machine Learning will be applied in various mainstream industries by the end of 2025. From healthcare, insurance, transport, to improving customer services, fintech startups and logistics, Artificial Intelligence will become ubiquitous, shaping the years 2025-2030 and beyond.
Therefore, securing a job profile in this domain can benefit you immensely. However, an artificial intelligence course in Melbourne can help you advance your abilities while keeping you updated with any new developments in the field.
At the end of the Artificial Intelligence Course In Melbourne, you will be proficient in the following:
So doing this AI Course In Melbourne can be very beneficial.
Including over 15 real-life brand initiatives in various fields, this Artificial Intelligence course in Melbourne is co-developed by IBM. The projects entailed in the AI course are intended to master critical topics such as supervised and unsupervised learning, reinforcement learning, vector support, deep learning and tensor flux, neural networks, convolution neural networks, and recurrent neural networks.
This AI course in Melbourne includes a project Capstone that allows you to revisit the topics learned during the entire duration of the course. You will take special mentoring workshops to build a high-quality industrial project and solve problems in the real world. The Capstone Project covers crucial areas, from analyzing exploratory data through design and fit to evaluating stock trends for various leading companies.
By completing this Capstone project, you would have expertly used the most latest unmonitored and supervised algorithms utilized for artificial intelligence applications - Regression, Natural Language programming, Multinomial Naïve Bayes, support vector machines and many others. Not only will you be issued the capstone credential after successfully submitting the project, but you will also have a project that may be presented as a testimonial to your learning to prospective employers.
Project 1: Uber Fare Provision | Domain: Delivery (Commerce)
Uber, one of the biggest taxi operators in the United States, wants to make the fare forecast for each journey more accurate. Be a helping hand in designing the proper model.
Project 2: Mercedes-Benz Test Bench Time Reduction | Domain: Cars
Mercedes-Benz, a multinational automotive manufacturer, based in Germany, seeks to minimize its test time for any car. More rapid testing will shorten market hitting time. Build and optimize the algorithm via reducing dimensionality and several approaches, including XGBoost.
Project 3: Amazon product rating | Domain: e-commerce
A global name which has revolutionized the e-commerce industry, Amazon provides intuitive and behaviour-based recommendations to its customers in the same category as their search and based on popular reviews that match the business type or/and same category of products. Amazon wants to improve the recommendation engine by anticipating ratings for unreviewed products and adding them to suggestions.
Project 4: Walmart demand prediction | Domain: sales
Forecast exact sales for 45 Walmart shops, one of the major retail stores in the United States, considering the influence of promotional events. Check for impact on sales on macroeconomic parameters such as CPI, unemployment rate, etc.
Project 5: Customer experience improvement for Comcast | Domain: Telecommunications
Comcast, based in the US, is a world leader in telecommunications, is seeks to enhance the customer experience that it offers by identifying and actioning solutions to counter issues causing lower levels of consumer satisfaction. The organization is also searching for essential recommendations to provide the most satisfactory experience for its customers.
Project 6: Analysis of attrition for IBM | Domain: Workforce Analytics
You will be required to uncover characteristics that affect employee attrition for IBM, one of the largest US-based IT businesses. The organization would like to develop a logistic regression model based on identified parameters to forecast whether an employee churns or not.
Project 7: Melbourne 311 Service Request Analysis | Domain: Telecommunication Service Request Analysis
Conduct call analysis for Melbourne City's 311 service request line. You will focus on the techniques of data dispute to analyze data patterns and view the primary forms of complaints.
Project 8: MobieLens Analysis data set | Domain: engineering
The Research Project GroupLens is a research group of the University of Minnesota, Department of Computer Science and Engineering. The group's researchers take part in various research projects in the fields of information filtering, collaborative filtering, and system recommendation. We ask you to analyze user datasets by deploying Exploratory Data Analysis techniques and related strategies.
Project 9: Analysis of stock data | Domain: stock market
In this project, you can import data from Yahoo, Apple, Amazon, Microsoft, Google, and other leading companies utilizing the Yahoo data reader. You will be required to conduct basic analytics, including charting, closing prices, volume trading, completing daily return analyses, and using pair tracks to indicate the correlation between stocks.
The Artificial Intelligence Course In Melbourne designed and offered by Simplilearn is ideal for advancement in multiple professions and disciplines owing to the record-high requirement for artificial intelligence applications in many of today's top industries, including the likes of:
This Artificial Intelligence Course In Melbourne should be attended by participants with:
This 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.
This Data Science with Python course gives you a complete overview of Python’s data analytics tools and techniques. Learning python is a crucial skill for many data science roles, and you can develop it with this Python data science course. With a blended learning approach, you can learn Python for data science along with concepts like data wrangling, mathematical computing, and more. Unlock your career as a data scientist with Simplilearn’s Data Science with Python training.
Ensure career success with this Machine Learning course. Learn this exciting branch of Artificial Intelligence with a program featuring Applied Learning, interactive labs, 4 hands-on projects, and mentoring. With our Machine Learning training, master Machine Learning concepts are required for a Machine learning certification. This Machine Learning online course will provide you with the skills needed to become a successful Machine Learning Engineer today.
This 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 through this TensorFlow course. Learn to implement deep learning algorithms with our TensorFlow training and prepare for a career as a Deep Learning Engineer. Achieve our deep learning certification and gain a competitive edge over your peers in your next interview.
Simplilearn’s AI Capstone Project will give you an opportunity to implement the skills you learned in the Artificial Intelligence course. 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.
Our Artificial Intelligence course is exhaustive and this certificate is proof that you have taken a big leap in mastering the domain.
The knowledge and Artificial Intelligence skills you've gained working on projects, simulations, case studies will set you ahead of competition.
Talk about your AI certification on LinkedIn, Twitter, Facebook, boost your resume or frame it - tell your friends and colleagues about it.
Artificial intelligence is a branch of computer engineering that involves the development of computer systems and digital scripts that mimic the human brain and do tasks that would typically need self-learning and automation. Using various AI approaches, computers may be trained to do jobs by analyzing massive amounts of data and identifying patterns in that data.
An AI Engineer employs machine learning algorithms, artificial neural networks, and other approaches in various industries throughout the world. They are in charge of maintaining the AI solution infrastructure and developing, testing, and implementing AI systems. This role may perform a range of duties in an organization, including:
Simplilearn’s Artificial Intelligence Course in Melbourne, 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 AI program will train you on Python, Machine Learning techniques, including data reprocessing, regression, clustering, and Deep Learning methodologies and its applications using TensorFlow.
As a part of this AI online course in Melbourne co-developed with IBM, you will receive the following:
You will be entitled to acquire the Artificial Intelligence certificate, which will attest to your AI engineer abilities, provided you meet the following minimum requirements.
Course | Course completion certificate | Criteria |
Introduction to Artificial Intelligence Course |
Required | 85% of Online Self-paced completion and Pass Assessment 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 assessment. |
Advanced Deep Learning and Computer Vision | Required | Attend 1 LVC batch, Pass a Project, Pass an Assessment test 70% |
AI Capstone Project | Required | Attendance of 1 Live Virtual Classroom and successful completion of the capstone project |
You can enroll in Simplilearn’s AI training in Melbourne on our website and make an online payment using any of the following options:
Once payment is received you will automatically receive a payment receipt and access information via email.
Melbourne is Australia’s second-largest industrial city. Due to its expensive and high living standards, Melbourne continues to be the fourth costly city globally. The consistently increasing GDP figure of US$41062 demonstrates the growth of Melbourne’s economy.
Melbourne, with the designation of Victoria’s capital, sits at the top of Port Phillip Bay. Melbourne’s unique characteristics have been shaped by the history and geography of the city. Its typical hot summers and extreme winters result from its location between the scorching interiors and southern coast.
The Greater Melbourne region population is estimated to be 4.96 million and covers 9992.5 square kilometers. In the 37.7-square-kilometer city of Melbourne, there are 184,000 inhabitants, as per the 2020 census.
Great Melbourne is the metropolitan region of Victoria’s capital. You can find unlimited options for food, recreational activities, culture, and coffee. Even Melbourne has the world’s third oldest Chinatown in its boundaries. Once you visit Melbourne’s laneways, vintage markets, beaches, and museums, you can’t get enough of them.
Artificial intelligence training in Melbourne can be your entry pass to such a beautiful city. Following are the best places in Melbourne:
Level 28, 303 Collins St Melbourne VIC 3000 Australia