AI (Artificial Intelligence) Training in Australia

AI (Artificial Intelligence) Training in Australia

AI (Artificial Intelligence) training in Australia is provided by Anexas, No. 1 AI training institute in Australia. Anexas Provides Best AI Training Courses in Australia. We train students from basic to advanced concepts, within a real-time environment.

AI Training in Australia

Artificial Intelligence is such a happening concept these days. And people are showing extreme eagerness to take a course in AI. This intelligence shown by machines is something that has a wide application and has been able to carve a niche for itself. Although there are many institutes that offer AI training in Australia, you have to be extra cautious while choosing one for yourself. Choose a training institute that promises quality training.

Best AI Training in Australia

Get enrolled for the most demanding skill in the world. AI training will make your career a new height. We at Anexas provide you an excellent platform to learn and explore the subject from industry experts. We help students to dream high and achieve it.

Get 15% Discount

Batch Schedule for AI Training in Australia

Anexas provides flexible timings to all our students. Here are the AI Training Classes in Australia Schedule in our branches. If this schedule doesn’t match please let us know. We will try to arrange appropriate timings based on your flexible timings.

About Artificial Intelligence Course Speaker

Experience of starting up Artificial Intelligence Training and consulting businesses in more than 6 countries. Trained around 25,000 professionals in Artificial Intelligence, Lean, Six Sigma (Black belts and Master Black Belts), Process Excellence, AI, Project Management, Accounting, Finance, Blue Ocean Strategy, SPC, Balanced Score Card and Soft Skills. Total 28 years of experience with 11 years in the manufacturing industry and 17 years in Service industry in various domains like Oil, Banking, manufacturing, IT, ITES, Healthcare, Finance, BPO, Insurance, Shipping, Supply Chain, Logistics, Petrochemicals, Steel, etc.

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Weekdays Regular (Class 3Hr – 5Hrs) / Per Session

06-04-2019

Starts Coming Monday (Monday – Friday) 08:00 AM (IST)

Course Fees
13-04-2019

Starts Coming Thursday (Monday – Friday) 08:00 AM (IST)

Course Fees

Weekdays Regular (Class 3Hr – 5Hrs) / Per Session

27-04-2019

Starts Coming Saturday (Saturday – Sunday) 11:00 AM (IST)

Course Fees
04-05-2019

Starts Coming Saturday (Saturday – Sunday) 11:00 AM (IST)

Course Fees

Weekdays Regular (Class 3Hr – 5Hrs) / Per Session

11-05-2019

Starts Coming Saturday (Saturday – Sunday) 10:00 AM (IST)

Course Fees
18-05-2019

Starts Coming Saturday (Saturday – Sunday) 10:00 AM (IST)

Course Fees

What is Artificial Intelligence (AI)?

When computers are able to perform intelligent tasks by using specialized technologies, the process is called artificial intelligence. That means artificial intelligence is a field of science wherein machines exhibit intelligence just like human beings and animals do. Artificial intelligence is a highly in-demand course. And by learning concepts of artificial intelligence, you will be able to make machines do things as intelligently as humans do. Now, wouldn’t that be too amazing to ignore? Well, why not! So, don’t make delays, boost your CV hundredfold by learning AI from some reputed AI training institute in Australia, and get the job of your dreams.

Why Artificial intelligence?

Starting from self-driving cars to chess-playing computers, AI can be seen almost everywhere today. And that is probably the reason why people are taking the AI courses in Australia quite seriously. There are hundreds of other reasons why this course is fast gaining popularity, some of which have been mentioned here. Check out-

  • Artificial Intelligence’s adaptation happens through progressive learning algorithms.
  • Artificial intelligence can help you get the most out of data.
  • Unbelievable accuracy can be achieved with AI.
  • Bigger and deeper data can be analyzed with the help of artificial intelligence.
  • AI helps add intelligence to existing products.
  • AI performs automation of repetitive learning and discovery through data.
  • AI jobs are high paying.
  • The AI course is a well demanded course today.

How we, at Anexas, help you?

AI training Australia at Anexas can simply set your career.
Our incessant efforts in comprehending the possibilities of AI in the world of IT have rendered us competent in helping interested people learn this skill set. Our trainers are some of the most knowledgeable in the industry with profound empirical knowledge and an enviable proficiency in theories. By following a student-centric approach of teaching, they have been ensuring impeccable learning outcomes in students. What makes us more popular as an IT training institute are our courses, which are not just easy to grab but also extremely relevant as far as industry needs and standards are concerned. We endeavor to keep you abreast of all the latest IT innovations and make sure every bit of information we pass on makes sense to you.

What more? We offer amazing placement guidance and help you clinch your dream AI job, almost effortlessly.

Do you need training in AI?

AI is in almost every industry today. It’s not uncommon to come across an AI-enabled hospital, a retail store or a predictive analytics system that talks. So, you can imagine the scope and expanse of this concept. If you want to equip yourself enough so as to stand out in the tough IT ecosystem, then taking AI training Australia is a must.

Interestingly, you won’t have to have a specialized degree to take up AI coaching classes. If you have got the desire and interest in this field, then nothing can stop you from being an AI expert.

Job opportunities for AI experts

Those who learn today how to create machines that show intelligence is going to create news tomorrow. They will be the people most cutting-edge companies will be willing to rope in. And they will be the people who will be able to outshine others in the field of IT. If you aspire to be one among those people, then joining Anexas for an AI certification course would be the best bet. Some of the most lucrative positions in this field include Machine Learning Engineer, Data Scientist, Research Scientist, R&D Engineer, Business Intelligence Developer, and Computer Vision Engineer.

AI Training in Australia

Anexas boasts of being the Best AI training institute in Australia. And the syllabus for this course has been broken down below (not in any specific order) for your convenience.

ARTIFICIAL INTELLIGENCE TRAINING IN AUSTRALIA & MACHINE LEARNING TRAINING IN AUSTRALIA – Syllabus

Introduction to ML, AI
  • Why we require AI and ML?
  • Problem with traditional Software systems
  • Opportunities with AI,ML
  • What you need to excel – only a logical mind!!
  • Tools and Software to efficiently build ML models
  • Why R and Python(with Tensorflow) is very popular ?

“You will learn the basics of Artificial Intelligence and Machine Learning. Understand the huge prospects and learn how to map your current work/study to a more exciting career in AI/ML. You will get to know the requisites of building a successful career in AI,ML field”

Your first ML model
  • Understand what actually is a ML model
  • How to handle data
  • Preprocessing data
  • Types of ML models – Supervised and Unsupervised
  • A peek into Reinforcement Learning
  • How to break your data into Training and Test
  • Cross validation techniques

“At Anexas, we believe the best way to learn is to get your hands dirty in coding. In this module, you will be doing exactly that. Get together to code in R and Python, understand the nuisances and build your first Prediction model!”

Linear Regression
  • Understand Linear Regression
  • Gradient Descent
  • Do actual hands on and understand the calculations behind Gradient Descent
  • Brush up on Differentiation to understand the maths behind the hands on
  • Code both in R and Python
  • Learn how to improve your model

“Linear Regression is the corner stone of any ML model. If you really understand Linear Regression, it will go a long way to help you understand many of the much more complex models in the next few weeks of the course. At Anexas – by understanding – we do not only teach you some theory. We will help you to code, learn all the maths/calculations behind every line of your code. You will yourself learn the details to very lowest level of what exactly happens in the background.”

Overfitting
  • Overfitting is one of the most difficult aspect to learn while building a ML model
  • Use the above Linear Regression model to understand Overfitting
  • Learn with Hands on – how to avoid Overfitting
  • Bias Variance Tradeoff
  • Regularization – Ridge, LASSO
  • ANOVA, F tests
  • Logistic Regression
  • Understand CLassification with Logistic Regression
  • Maximum Likelihood Estimation
  • Build an end-end model with Logistic Regression using scikit Learn
  • Hands on – how actually you will build a model in the Industry
  • How to code for Interviews, Data Science Competitions

“Coding for a toy example is not the same as cracking coding interviews in top companies. You will learn how to crack interviews and what you should consider to produce optimized, generic code for AI,ML”

Decision Trees
  • What is a Probability based model and why Decision Tree is such a model? Understand the concepts of Entropy, Gini Impurity, Information Gain Do a detailed hands on project to predict the possible Loan Defaulters for a large multi-national bank
  • Apply the concepts of Overfitting
  • How to improve the Decision Tree model without Overfitting
  • Bagging, Boosting
  • Random Forest
  • AdaBoost, Gradient Boost

“Decision Trees and Random Forest are indeed the very popular ML models. Learn every details about these models. Get all your doubts cleared. The project on Decision Tree is taken from a real world financial data. So, pay attention to the intricacies of building the model and how to improve it. Also learn – what mistakes can be more costly in a Prediction scenario and how to avoid it.”

k-NN
  • Understand a Distance based model with kNN
  • how to choose the value of k
  • Project work on Predicting Breast Cancer

“This module will unleash the real value of ML in the society. WIth AI,ML – build a model to detect complex diseases and help save a million lives”

Support Vector Machines(SVM)
  • The power of SVM and what it can do which other models cannot
  • Why SVM is so popular in the industry
  • Learn all about Kernel Functions
  • Different Kernel functions
  • Build an OCR(Optical Character Reader) with the help of SVM and Kernel functions
  • Neural Networks
  • Why Neural Networks can actually solve any Complex pattern?
  • How to build the Neural Network Architecture
  • How Neural Network mimics the cognitive capabilities of humans
  • Build your own AND,OR,NOT,XOR, XNOR Logic Gates with Neural Network
  • Understand Forward & Backward Propagation
  • Plot a Neural Network with code and map your understanding between theory and practical
  • Change the architecture with code and see how the Neural Network behaves
  • Different Activation Functions
  • Vanishing Gradient problem
  • Loss functions

“Neural Network is by far the most important ML model. At Anexas, we spend the most time in Neural Networks and want you all to be very comfortable in this complex subject. Learn all the concepts, do the hands-on , ask even the smallest of doubts – our end goal is to ensure that you walk out of the class with a clear understanding of the most difficult module”

Deep Neural Networks
  • Optimization methods
  • Gradient Descent with Momentum, RMSProp, ADAM
  • Learning Rate Decay
  • Xavier Initialization
  • Introduction to Keras and Tensorflow(TF)
  • Deep Learning in Keras with TensorFlow as the backend
  • Project Work

“You will learn to code in new Frameworks- TensorFlow and Keras. Pay attention to the details, understand how to use the official documentation for your help. The idea is learn to quickly code so that you can prototype much more faster and take an informed decision.”

Unsupervised Learning
  • Basic concepts of Clustering
  • k-means Clustering
  • Hierarchical clustering
  • Build a hands on project to do Social Media analysis with Clustering

“The project on Social Media analysis is one of the most interesting work with Clustering. Learn how to gather insights from today’s social media, how you can shape the future. Tons of possibilities with this module and project. Lots of career opportunities if you really understand how to perform Clustering on Social Media data”

PCA
  • Principal Component Analysis(PCA)
  • Learn the maths behind PCA
  • Learn how to code and plot a PCA
  • Recommendation Engine
  • Understand how Netflix or any other Tech giant uses Recommendation Engine
  • Content and Collaborative Filtering
  • Pros and Cons of different approaches of Recommendation Engine
  • Market Basket Analysis
  • Apriori Rules
  • Build your own Recommender System

“You open Netflix – you have Recommendation Engine(RE), you open Amazon – you have RE, you open Flipkart – you have RE..Today, Recommendation Engine is popular than ever before..Your feeds, news – everything follows recommendation. Learn the tricks to build a great Recommend or System. People who have bought this have also bought. People who have liked this have also liked..You will understand what exactly happens behind these suggestions”

Computer Vision
  • Image Detection, Image Classification, Localization
  • Introduction to Convolution Neural Networks(CNN)
  • Build a Handwritten Digit recognizer with CNN
  • Strides, Padding concepts
  • Convolution, Padding and Fully Connected layers
  • Sliding Window
  • Edge Detection

“Computer Vision is one of the most growing fields in ML. From Autonomous cars to tagging your friends to security – everything requires Computer Vision. You will learn Computer Vision and how to build a solution for understanding Hand written digits”

Advanced Computer Vision
  • YOLO Algorithm – You Only Look Once
  • Introduction to classical networks like LeNet5
  • IoU
  • Build an Image Classifier with CNN
  • Data Augmentation Techniques
  • Natural Language Processing(NLP)
  • Introduction to Natural Language Processing(NLP)
  • Text Pre-processing
  • Lemmatization, Stemming
  • Syntactical Parsing, Entity Parsing
  • Ctopic Modelling with Latent Dirichlet Allocation(LDA)
  • Collapsed Gibbs Sampling
  • Word Embedding with Word2Vec – CBOW and SkipGram models
  • Restricted Boltzman Machines
  • Recurrent Neural Network(RNN) and Long Short Term memory(LSTM)
  • Build a chatbot with the above concepts of NLP and Neural Networks

“Natural Language Processing(NLP) and Chatbot are the biggest job prospects in ML today. Every other website and application requires NLP today. Learn everything about NLP, leverage the knowledge to build a Chatbot. Learn how to preprocess text, vectorize words,find out similar words, break a text into multiple topics and much more.”

Introduction to AI
  • History of AI
  • State of the Art AI
  • Types of Agents
  • Types of Environments
  • Asymptotic Notations

“Any AI engineer needs to know what is the state of the art AI at present and how did we end up here. It will also help think about how future developments could look like. We will start an introduction to AI by understanding what are the types of agents which can exist and the types of environments agents needs to work and the problems encountered in this.”

Search
  • Uninformed Search-Breadth first search
  • Uniform Cost Search
  • Depth First Search
  • Depth-Limited Search
  • Iterative Deepening Depth-First Search
  • Bidirectional Search
  • Informed Search-Greedy Best-First Search
  • A* Search
  • Beyond Local Search-Hill Climbing
  • Simulated Annealing
  • Beam Search
  • Genetic Algorithms
  • Online Search
  • Informed Search

“In many problems it is possible to get some sort of initial solution. This starting point is not a good solution, but searching in its neighbourhood we can find better solutions. We understand what is a neighbourhood, how to navigate to a better solution and various techniques to deal with the problems of local maxima/minima.”

Adversarial Search
  • Min-max Tree
  • Alpha-Beta Pruning
  • Move Ordering
  • Stochastic games

“In many environments the agent we define is not the only active agent. There will be also other agents trying to maximize their performance. This frequently occurs in multi-player games like chess, competitive business environment and trading. We discuss how can an agent try to choose the optimal strategy in this competitive environment.”

Constraint Programming
  • Constraint Satisfaction Problems
  • Map coloring
  • Sudoku
  • Job scheduling Constraint Propagation
  • Backtracking

“Many real world problems come with some constraints. For example in planning a cricket tournament you have constraints like a team should have atleast 3 days between matches. India-Pakistan match should be on Sunday. 1 stadium can hold a cricket match with atleast 2 days gap to prepare the pitch etc. We discuss these problems through examples like Sudoku, map-coloring, time table planning etc.”

Reinforcement Learning
  • Passive Reinforcement learning
  • Active Reinforcement learning
  • Policy Search

“Many of the good general purpose AI’s used in computer games these days are developed by Reinforcement learning. An AI plays games against itself for days / months and comes up with optimal strategy from this huge experience. Not just games, but many real world AI can be developed by this technique.”

Frequently Asked Questions

What are the modes of training for “Artificial Intelligence” course?

We have options for classroom-based as well as instructor led live online training. The online training is live and the instructors screen will be visible and voice will be audible. Your screen will also be visible and you can ask queries during the live session.

Is the training on “Artificial Intelligence” course hands on? Will I write code?

The training on “Artificial Intelligence” course is a hands-on training. All the code and exercises will be done in the live sessions. Our batch sizes are generally small so that personalized attention can be given to each and every learner.

Will I be provided with any study material during the “Artificial Intelligence”?

We will provide course-specific study material as the course progresses. You will have lifetime access to all the code and basic settings needed for this “Artificial Intelligence”. You can use that for quick reference

How can I reach out to you if I have any other queries regarding the “Artificial Intelligence” course?

Feel free to drop a mail to us at enquiry@anexas.net and we will get back to you at the earliest for your queries on “Artificial Intelligence” course.

Do you provide any job placements?

We have tie-ups with a number of hiring partners and and placement assistance companies to whom we connect our learners. Each “Artificial Intelligence” course ends with career consulting and guidance on interview preparation.

Do you provide any “Artificial Intelligence” Certifications?

Yes, we provide course completion certificate to all students. Each “Artificial Intelligence” training ends with training and project completion certificate.

What are the payment options? Can I pay in installments?

You can pay by card (debit/credit), cash, cheque and net-banking. You can also pay in easy installments. You can reach out to us for more information.

As I am from a non-IT background, do you provide any career consulting?

We take pride in providing post-training career consulting for “Artificial Intelligence”.

What are the prerequisites for taking this Training Course?

Keen interest to learn and succeed in emerging technologies.

What are the AI job opportunities in Australia?

Huge growth of IT industry is a standing example that job opportunities will increase in India. There are a dozen graduates vying for a single job but on the other hand there is a severe vacuum for the exceptionally talented in India. Anexas is the institute which helps to achieve that exceptional talent in Artificial Intelligence and Deep Learning technologies.

For Registration and for more Information on Artificial Intelligence & Machine Learning Training in Australia, contact Anexas – the best Artificial Intelligence and Machine Learning Training Institutes Australia @ +91 8792857954 /+971 508368495 / +966 566853987 | enquiry@anexas.net

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