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Artificial Intelligence Courses

Start your career in Artificial Intelligence with this Bootcamp program delivered by Simplilearn in collaboration with IBM, equipping you with industry-relevant experience to excel in your career as a full-fledged artificial intelligence engineer.

Master key AI concepts and cutting edge technologies including Data Science with Python, Machine Learning concepts, Deep Learning, NLP and ChatGPT with training in live sessions, practical labs and real-world projects.

  • Discounted Upfront Price: $1,930  $1,630

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Delivery Mode
This Bootcamp Program includes live virtual classes + self paced learning
Real World Capstone Projects
Showcase your technical skills by working on well-known real world datasets from brands such as Amazon and Twitter
Learn From The Best
Be part of exclusive hackathons, live masterclasses, and ask-me-anything sessions delivered by Simplilearn in partnership with IBM
Industry Recognised Learning Programs
Experience one of the best artificial intelligence course for beginners, designed with integrated practical labs and hands-on training

Course Summary

5-7 Months
Access For
12 months
5 Courses
A$1,630 incl. GST
Flexible payment plans

This Artificial Intelligence course accelerates your career in the world of AI by providing you with world-class training and skills to master a range of AI concepts. Delivered by Simplilearn in collaboration with IBM, you will gain hands-on experience working with the fundamentals of data science such as Python programming, machine learning techniques, artificial neural networks, and data abstraction, in the context of real-world applications.

Transform your career in the field of artificial intelligence engineering by deep diving into this unique branch of computer science and solving real world problems using cutting-edge AI technology, and gain a competitive advantage in your portfolio.

What you will learn

By the end of this AI Bootcamp training, 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, basic operators, and functions
  • Learn how to write your own Python scripts and perform basic hands-on data analysis using Jupyter notebook software
  • 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

Course Structure

Our Artificial Intelligence Engineer Bootcamp is a highly comprehensive and extensive course that upon completion, showcases your rich understanding and industry-related training in the artificial engineering world.

The applied knowledge and hands-on skills you will gain come from working on various simulations, real-world projects and case studies over 5 course. The course content details for the bootcamp are summarised below.

  • Course 1 - Introduction to Artificial Intelligence

    This introduction to artificial intelligence (AI) is designed to help learners decode the mystery of AI and its business applications.

    Gain a strong understanding of AI concepts and workflows, machine learning, deep learning, and performance metrics. This introductory course is designed to set you up with strong foundations in AI as you get up-to-speed quickly on emerging artificial intelligence techniques, their impact on companies across a variety of industries and it's significance in solving real world problems.

    -Lesson 1: Decoding Artificial Intelligence
    -Lesson 2: Fundamentals of Machine Learning and Deep Learning
    -Lesson 3: Machine Learning Workflow 
    -Lesson 4: Performance Metrics

    Course delivery format: online learning only

  • Course 2 - Data Science with Python

    Learning python is a crucial skill for many data science and AI roles, and you can develop it with this Python data science course. With a blended learning approach, this course will help you get a complete overview of Python’s data analytics tools and techniques. Learn to use high level technologies such as matplotlib and pandas to turn your analysis into functional, dynamic visuals, and apply concepts such as data wrangling, mathematical computing and more.

    -Lesson 1: Course Introduction
    -Lesson 2: Introduction to Data Science
    -Lesson 3: Python Libraries for Data Science 
    -Lesson 4: Data Wrangling
    -Lesson 5: Featuring Engineering
    -Lesson 6: Exploratory Data Analysis 
    -Lesson 7: Feature Selection 
    -Practice Project 

    Free Course: 
    -Math Refresher

    Free Course:
    -Statistics Essential for Data Science

    Course delivery format: online learning + live virtual classes

  • Course 3 - Machine Learning Foundations

    Master the exciting branch of artificial intelligence and machine learning fundamentals and it's application in various industries.

    Featuring applied learning content, interactive labs, 4 hands-on projects and mentoring, this course will provide you with the practical skills needed to boost your knowledge in Machine Learning. You will also work on real world projects with prominent brands such as Uber and Amazon. These projects will help you to showcase your hands on experience in your portfolio, equipping you with a competitive edge as an artificial intelligence engineer professional.

    -Lesson 1: Course Introduction
    -Lesson 2: Introduction to Machine Learning
    -Lesson 3: Supervised Learning Regression and Classification
    -Lesson 4: Decision Trees and Random Forest
    -Lesson 5: Unsupervised Learning
    -Lesson 6: Time Series Modelling
    -Lesson 7: Ensemble Learning
    -Lesson 8: Recommender Systems
    -Lesson 9: Level Up Sessions
    -Practice Project 

    Free Course: 
    -Math Refresher

    Free Course:
    -Statistics Essential for Data Science

    Course delivery format: online learning + live virtual classes

  • Course 4 - Deep Learning with TensorFlow

    Expand your expertise in deep learning concepts with this TensorFlow course training. Developed by industry leaders you'll learn to master deep learning concepts and models using Keras and TensorFlow frameworks.

    Learn to implement deep learning algorithms and gain a competitive edge over your peers in your next interview.

    Section 1: Deep Learning with Tensor Flow (Self-Learning)
    -Lesson 1: Welcome
    -Lesson 2: Introduction to TensorFlow
    -Lesson 3: Convolutional Networks
    -Lesson 4: Recurrent Neural Network
    -Lesson 5: Restricted Boltzmann Machines (RBM)
    -Lesson 6: Autoenconders
    -Lesson 7: Course Summary

    Section 2: Deep Learning with Keras and Tensor Flow (Live Classes) 
    -Lesson 1: Course Introduction
    -Lesson 2: AI and Deep Learning Introduction
    -Lesson 3: Artificial Neural Network 
    -Lesson 4: Deep Neural Network & Tools 
    -Lesson 5: Deep Neural Net Optimisation, Tuning, Interpretability 
    -Lesson 6: Convolutional Neural Network
    -Lesson 7: Recurrent Neural Networks
    -Lesson 8: Autoencoders 

    Section 3: Practice Projects 

    Free Course: 
    -Math Refresher

    Course delivery format: online learning + live virtual classes

  • Course 5 - AI Capstone Project

    Put your AI skills to action with this artificial intelligence engineering capstone project. With dedicated mentoring sessions, you will apply your multi-faceted skills in AI to solve real world industry-related problems. The captsone project is the final step in the learning path and will help you to showcase your hands on experience in your portfolio, equipping you with a competitive edge as an artificial intelligence engineer.

    AI Capstone Project Course Content
    -Exploratory Data Analysis 
    -Model Building and Fitting
    -Unsupervised Learning 
    -Representing Results

    Course delivery format: online learning + live virtual classes

Completion Certificate

You will gain individual certificates after completing each course

Optional electives

Optional electives are available as part of this Artificial Iintelligence Engineering Bootcamp Program.
These are not mandatory to complete, but are available as additional courses to study if you are interested in expanding your knowledge and further implementing your skills.

  • Elective 1 - Python for Data Science
  • Elective 2 - Advanced Deep Learning and Computer Vision
  • Elective 3 - Natural Language Processing (NLP)
  • Elective 4 - Use cases of ChatGPT
  • Elective 5 - Industry Master Class - Artificial Intelligence

Tools covered

Who is this course for?

Professionals wishing to succeed in this AI learning course should have:

  • Basic knowledge of statistics
  • An understanding of Python programming

The AI learning course is suitable for both new comers and experienced professionals.

Aspiring professionals of any educational background with an analytical frame of mind are most suited to pursue the Artificial Intelligence Bootcamp course including:

  • Developers aspiring to be an AI 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

Payment Options

Option 1 - Pay upfront and save today

Upfront Price: $1,930 $1,630 incl. GST

Save $710 when you pay upfront

RRP $2340

Option 2 - Upskilled Payment Plans

For Upskilled courses delivered by Simplilearn - we can arrange for you an interest-free, flexible and easy to manage monthly payment plan.

Speak to our Education Consultants to know more about our Flexible Payment Plans.
Call 1300 009 924 to find out more. Terms & Conditions Apply.

Course projects

This artifical intelligence certification course delivered by Simplilearn is co-developed with IBM and includes real-life, branded projects in different industries.

These real-world projects are designed with impact to help you master the key concepts of artificial intelligence such as supervised and unsupervised learning, reinforcement learning, support vector machines, Deep Learning, TensorFlow, neural networks, convolutional neural networks, and recurrent neural networks.

Below are the details on projects you will be working on.

Use Data to Make A Positive Social Change with Twitter

Using your knowledge and skills in NLP and Machine Learning, work with the largest social media platform, Twitter to build a model that identifies and removes inapproriate tweets. Your data model will be implemented to prevent social negativity and encourage a more user-friendly and pleasant platform.

Build a Machine Learning Algorithm To Provide Customer Reviews

You will have an opportunity to create a recommendation algorithm, based on customer movie review data sets provided by Amazon.

By applying the most effective machine learning algorithm, you will build a model that provides ratings for each user.

Apply Data Analytics Techniques To Achieve Fraud Detection

The finance industry is the one of the biggest employers of Data Scientists. It faces constant attacks by fraudsters who try to trick the system.

In this project, you will be applying various techniques such as supervised models with oversampling, unsupervised anomaly detection, and heuristics in order to accuractely achieve fraud detection.

Forecast Accurate Sales for Walmart Stores

Be an expert in predicting accurate sales for Walmart stores by considering impact of promotional markdown scenarios.

Analyse the impact of macroeconomic factors such as Consumer Price Index (CPI) and how umemployment rates can affect sales.

Career outcomes

Students who successfully complete this qualification may be able to pursue the following career outcomes.

Machine Learning Engineer

Machine learning engineers design and create the algorithms used to make business predictions and test machine learning systems used for a variety of business purposes.

$114k AUD
Information Technology
AI Engineer

An artificial intelligence engineer uses innovative technology to developing intelligent algorithms capable of learning, analysing, predict future events and reasoning similar to the human brain to achieve business goals.

$105k AUD
Information Technology
Data Scientist

Data scientists examine which questions need answering and where to find the related data. They source, manage, analyse, clean, present and visualise large amounts of unstructured data to make business decisions. 

$125k AUD
Information Technology

Artificial Intelligence Courses course advisor

Ronald van Loon
Ronald van Loon

Top 10 Big Data and Data Science Influencer, Director - Adversitement

Named by Onalytica as one of the three most influential people in Big Data, Ronald is also an author of a number of leading Big Data and Data Science websites, including Datafloq, Data Science Central, and The Guardian. He also regularly speaks at renowned events in IoT, Big Data and Data Science.

Please note: course advisor subject to change

Show off your achievements

Earn your Artificial Intelligence Engineer Bootcamp Certification

Digital certificates are the new way for Upskilled and Simplilearn graduates to offer proof of their hard earned knowledge or skill set.

You will receive individual certificates after each short course. Additionally, upon completion of the entire bootcamp, you will earn a certificate demonstrating your competence and expertise as a artificial intelligence engineer.

Differentiate Yourself

Set yourself apart from the competition with the Artificial Intelligence Engineer Bootcamp certificate. This is your ticket to get your foot through the door and proof that you have applied artificial intelligence engineering knowledge and skills to real-world projects making you job ready as a full-fledged expert.

Share your achievement

You worked for it, you earned it! Share your achievement loud and proud! Talk about your artificial intelligence engineering certification on LinkedIn, Twitter, Facebook. Add it to your CV to stand out and showcase to your employers.


What is the difference between an Online Bootcamp and Short Course?

An Online Bootcamp is an intensive and accelerated learning program made up of a collection of self-paced eLearning components and live online classes that students are required to attend.
The Online Bootcamp program curriculum contain a combination of specifically chosen courses and career-critical skills that are aligned to a job role.

A Short Course on the other hand are shorter courses that is designed to target developing a specific skillset or topic. They generally are much quicker to complete than Bootcamp Programs.


What is the basic qualification for artificial intelligence?

No qualification is necessary for a career in artificial intelligence. However, it is recommended that the student has a fundamental understanding of python programming and statistics.


Is the online artificial intelligence course syllabus different from a traditional one?

Online education or distance learning has made education more accessible for students and professionals around the world. Online learning has also transformed the way individuals learn in terms of learning material and practice. An online artificial intelligence course syllabus is very much different to a traditional course syllabus. While there are in-person benefits such as collaboration in a traditional course, there is lack of flexibility as you must attend your classes in person and material is not readily available.

In an online artificial intelligence course, online learning material (written content, interactive quizzes, video content and hands-on exercises and real-world projects) is readily available with lifetime access, which you can access anytime anywhere. In an online course, there is higher flexibility as you get to work at an individualised pace, set your own study hours and time to suit your current lifestyle. Online learning courses are also designed with live interaction and practical projects, which allow you to build peer to peer collaboration and gain hands on experience in the artificial intelligence field.


What are the things I should consider when looking for an artificial intelligence course online?

There are numerous online artificial intelligence courses. Sometimes it can be overwhelming ito pick out the best option. Finding the right artificial intelligence course for you is not only important but will set you up for success in your career as a artificial intelligence professional.

It is best to take into consideration the below factors when choosing the best course for you:

  • Quality of education
  • Content material
  • Credibility of courses
  • Funding options

These days employers and organistions value a hands-on learning approach that covers working on real projects and applications, as well as experience working with cutting edge technologies. The best artificial intelligence course for beginners should involve practical content, thorough video content and include live interactions between advisors and students. Good artificial intelligence courses such as bootcamps are engaging, challenging and motivating for students to enjoy, whilst enhancing their knowledge and skills.


Do I need a related degree in order to be eligible for an online AI course?

A related degree in Artificial Intelligence is not necessary to be eligible for an online AI learning course. Most online artificial intelligence programs are built on fundamental computer science fundamentals such as Python programming and statistics.

This AI online course is designed for both beginners and experienced professionals looking to enter the field.


What is Artificial Intelligence?

Artificial Intelligence (AI) is the science and engineering of making intelligent machines, especially computer programs. It enables computer programs to perform tasks that usually require human intelligence. Using various principles and techniques in AI, computers can be trained to accomplish tasks by processing large volumes of data and recognizing patterns.


How is an AI certification relevant today?

Artificial intelligence (AI) makes it possible for machines to learn for themselves, make decisions and perform human-like tasks. By harnessing the power of AI, we can develop systems that automatically understand their environment, detect changes and react accordingly. This unique ability disrupts traditional models of learning and decision-making, dramatically increasing speed, precision and efficiency.

As such, online AI learning courses are increasingly valued due to their emphasis on a hands-on focused and immersive learning approach. These days many organisations value skills that are job ready and demonstratable, and AI Certification bootcamp courses are an appraised path to achieve this practical experience.


Will I earn a certificate?

Yes, upon completing the course program and projects, you will gain an Artificial Intelligence Engineer certification as a demonstration of your applied practical skills and expertise, which you can showcase in your CV.


What are the professional backgrounds of Artificial Intelligence Bootcamp students?

The Artificial Intelligence online course is designed for both entry-level individuals and for experienced professionals looking to enter the world of artifical intelligence engineering.

You'll find a range of students from various backgrounds such as:

  • Developers aspiring to be an AI 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


How do I enrol in the Artificial Intelligence Engineering Bootcamp?

To enrol in this Artificial Intelligence online course, you'll need to first submit an enquiry form via our website. You'll need to provide the following details:

  • Your Name
  • Best Phone Number
  • Email Address

Once you've submitted your online form, one of our education consultants will be in touch within 48 hours.

During the consultation, you'll be able to ask questions regarding payment options, learning content and what career outcomes you can pursue if you complete your studies.


What jobs roles can I work as upon completing the bootcamp?

There are various career roles an AI certification student can work in upon completion of the online course. Some examples of career roles include: AI Engineer, AI Developer, AI Architects, Machine Learning Engineers, Data Scientists or Big Data Engineer


What payment options are available?

Enrol immediately and pay full price upfront at $2140 or pay in split payments. Find out more about other flexible payment plans and get in touch with one of our Education Consultants today


How do I become a Artificial Intelligence Engineer?

One of the most common and distinguished ways to enter a branch of computer science as an Artificial Intelligence (AI) Engineer is through immersive learning programs such as bootcamps.

The online Artificial Intelligence Engineer certification course delivered by Simplilearn co-designed with IBM experts provides you with an in-depth understanding of applied principles, tools, techniques and methodologies into the world of Artificial Intelligence.

Delivered through a unique immersive environment, the AI certification course will set you up to be a full-fledged AI expert in your career. You will sharpen your ability to master high level technologies and AI concepts such as data manipulation, unsupervised learning, Python programming, Deep Learning and Machine Learning workflows, and how they can be applied in various industries. Upon completion you will earn an industry-recognised certificate partnered with IBM that will strongly portray your new skills and on-the-job expertise as an Artificial Intelligence Engineer.


How do I start studying artificial intelligence?

The best way to study artificial intelligence is to start on learning the fundamentals. If you're an absolute beginner, you can get started with basic statistics and learn Python programming basics before deep diving into artificial intelligence concepts.

You can study artificial intelligence concepts and it's practical application through various mediums such as artificial intelligence certifications online, online tutorials or through a artificial intelligence course for beginners.

To advance your learning, it is recommended to get hands on experience working with cutting edge technologies such as machine learning, python programming and AI algorithms through real-world projects and applications. You can also achieve this through certified bootcamp or online courses.


Get a free consultation & kickstart your career Call now

We're always here to help you succeed. Get a free education consultation with one of our Upskilled Education Consultants about this course or simply find out what's best for you.

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