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Artificial Intelligence Course in Melbourne

Intellipaat Artificial Intelligence course in Melbourne is an industry-designed course for learning TensorFlow, artificial neural network, perceptron in neural network, transfer learning in machine learning, backpropagation for training networks through hands-on projects and case studies. Get the best online artificial Intelligence Training in Melbourne from Artificial Intelligence certified experts. This is created in collaboration with IBM.

Key Features

32 Hrs Instructor Led Training
24 Hrs Self-paced Videos
48 Hrs Project work & Exercises
Certification and Job Assistance
Flexible Schedule
Lifetime Free Upgrade
24 x 7 Lifetime Support & Access

About Artificial Intelligence Course

Intellipaat offers artificial intelligence course in Melbourne along with understanding the Google TensorFlow, Tensor Processing Unit, TensorCode, how to deploy supervised and unsupervised learning, working with vectorization, binary classification, training a Convolutional Neural Network for regression and more through hands-on projects.

What you will learn in this Artificial Intelligence Course in Melbourne?

  • The fundamentals of Machine Learning
  • Training the neural network with data
  • Designing multi-layered neural network
  • TensorFlow for numerical computation
  • Deploying the Tensor Processing Unit
  • Image recognition & natural language processing.
  • Professionals in analytics, data science domains, ecommerce, search engine domains
  • Software professionals looking for a career switch and fresh graduates.

Anybody can take this Artificial intelligence course in Melbourne regardless of their prior skills.

Melbourne is one of the biggest cities in Australia that is growing very aggressively and has a very vibrant economy revolving around advanced manufacturing, high technology, financial services among other industry verticals. All these industries are deploying Artificial Intelligence at scale making this city a lucrative ground for top AI job opportunities.

The Artificial Intelligence market trend in Melbourne, Australia is going through a huge expansion drive thanks to the proactive business environment that this city accords. Due to this if you are well trained and certified in Artificial Intelligence and Deep Learning then you can make the best of this growing AI market trend in Melbourne, Australia.

Among all technologies that will have an inordinate impact on the overall economy of the world, Artificial Intelligence is set to rule them all due to sheer power of this futuristic technology to disrupt industry dynamics. If you want to make a career in Artificial Intelligence, then Intellipaat offers one of the best AI courses in Melbourne with Deep Learning and Google TensorFlow to help you get ahead in your career and land your dream job.

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Course Fees

Self Paced Training

  • 24 Hrs e-learning videos
  • Lifetime Free Upgrade
  • 24 x 7 Lifetime Support & Access
$281

Online Classroom preferred

  • Everything in self-paced, plus
  • 32 Hrs of instructor-led training
  • 1:1 doubt resolution sessions
  • Attend as many batches for Lifetime
  • Flexible Schedule
  • 14 Jun
  • SAT - SUN
  • 08:00 PM TO 11:00 PM IST (GMT +5:30)
  • 20 Jun
  • SAT - SUN
  • 08:00 PM TO 11:00 PM IST (GMT +5:30)
  • 27 Jun
  • SAT - SUN
  • 08:00 PM TO 11:00 PM IST (GMT +5:30)
$ 449 $349 10% OFF Expires in
$0

Corporate Training

  • Customized Learning
  • Enterprise grade learning management system (LMS)
  • 24x7 support
  • Strong Reporting

Artificial Intelligence Course Content

Model 01 - Introduction to Deep Learning and Neural Networks preview videos

1.1 Field of machine learning, its impact on the field of artificial intelligence
1.2 The benefits of machine learning w.r.t. Traditional methodologies
1.3 Deep learning introduction and how it is different from all other machine learning methods
1.4 Classification and regression in supervised learning
1.5 Clustering and association in unsupervised learning, algorithms that are used in these categories
1.6 Introduction to ai and neural networks
1.7 Machine learning concepts
1.8 Supervised learning with neural networks
1.9 Fundamentals of statistics, hypothesis testing, probability distributions, and hidden markov models.

2.1 Multi-layer network introduction, regularization, deep neural networks
2.2 Multi-layer perceptron
2.3 Overfitting and capacity
2.4 Neural network hyperparameters, logic gates
2.5 Different activation functions used in neural networks, including relu, softmax, sigmoid and hyperbolic functions
2.6 Back propagation, forward propagation, convergence, hyperparameters, and overfitting.

3.1 Various methods that are used to train artificial neural networks
3.2 Perceptron learning rule, gradient descent rule, tuning the learning rate, regularization techniques, optimization techniques
3.3 Stochastic process, vanishing gradients, transfer learning, regression techniques,
3.4 Lasso l1 and ridge l2, unsupervised pre-training, xavier initialization.

4.1 Understanding how deep learning works
4.2 Activation functions, illustrating perceptron, perceptron training
4.3 multi-layer perceptron, key parameters of perceptron;
4.4 Tensorflow introduction and its open-source software library that is used to design, create and train
4.5 Deep learning models followed by google’s tensor processing unit (tpu) programmable ai
4.6 Python libraries in tensorflow, code basics, variables, constants, placeholders
4.7 Graph visualization, use-case implementation, keras, and more.

5.1 Keras high-level neural network for working on top of tensorflow
5.2 Defining complex multi-output models
5.3 Composing models using keras
5.3 Sequential and functional composition, batch normalization
5.4 Deploying keras with tensorboard, and neural network training process customization.

6.1 Using tflearn api to implement neural networks
6.2 Defining and composing models, and deploying tensorboard

7.1 Mapping the human mind with deep neural networks (dnns)
7.2 Several building blocks of artificial neural networks (anns)
7.3 The architecture of dnn and its building blocks
7.4 Reinforcement learning in dnn concepts, various parameters, layers, and optimization algorithms in dnn, and activation functions.

8.1 What is a convolutional neural network?
8.2 Understanding the architecture and use-cases of cnn
8.3‘What is a pooling layer?’ how to visualize using cnn
8.4 How to fine-tune a convolutional neural network
8.5 What is transfer learning?
8.6 Understanding recurrent neural networks, kernel filter, feature maps, and pooling, and deploying convolutional neural networks in tensorflow.

9.1 Introduction to the rnn model
9.2 Use cases of rnn, modeling sequences
9.3 Rnns with back propagation
9.4 Long short-term memory (lstm)
9.5 Recursive neural tensor network theory, the basic rnn cell, unfolded rnn,  dynamic rnn
9.6 Time-series predictions.

10.1 Gpu’s introduction, ‘how are they different from cpus?,’ the significance of gpus
10.2 Deep learning networks, forward pass and backward pass training techniques
10.3 Gpu constituent with simpler core and concurrent hardware.

11.1 Introduction  rbm and autoencoders
11.2 Deploying rbm for deep neural networks, using rbm for collaborative filtering
11.3 Autoencoders features and applications of autoencoders.

12.1 Image processing
12.2 Natural language processing (nlp) – Speech recognition, and video analytics.

13.1 Automated conversation bots leveraging any of the following descriptive techniques:  Ibm watson, Microsoft’s luis, Open–closed domain bots,
13.2 Generative model, and the sequence to sequence model (lstm).

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Artificial Intelligence Projects

What projects I will be working on during this AI online course?

Project 01: Image Recognition with TensorFlow

Industry: Internet Search

Problem Statement: Creating a Deep Learning model to identify the right object on the Internet as per the user search for the corresponding image

Description: In this project, you will learn how to build a convolutional neural network using Google TensorFlow. You will do the visualization of images using training, providing input images, losses, and distributions of activations and gradients. You will learn to break each image into manageable tiles and input them to the convolutional neural network for the desired result.

Highlights:

  • Constructing a convolutional neural network using TensorFlow
  • Convolutional, dense, and pooling layers of CNNs
  • Filtering images based on user queries

Project 02: Building an AI-based Chatbot using IBM watson LAB

Industry: Ecommerce

Problem Statement: Building a chatbot using Artificial Intelligence

Description: In this project, by understanding the customer needs, you will be able to offer the right services through Artificial Intelligence chatbots. You will learn how to create the right artificial neural network with the right amount of layers to ensure that the customer queries are comprehensible to the Artificial Intelligence chatbot. This will help you understand Natural Language Processing, going beyond keywords, data parsing, and providing the right solutions.

Highlights:

  • Breaking user queries into components
  • Building neural networks with TensorFlow
  • Understanding Natural Language Processing

Project 03: Ecommerce Product Recommendation

Industry: Ecommerce

Problem Statement: Recommending the right products to customers using Artificial Intelligence with TensorFlow

Description: This project involves working with recommender systems to provide the right product recommendation to customers with TensorFlow. You will learn how to use Artificial Intelligence to check for users’ past buying habits, find out the products that go hand-in-hand, and recommend the best products that can be bought together with a particular product.

Highlights:

  • Building neural networks with TensorFlow
  • Looking at huge amounts of data and gaining insights
  • Building a recommendation engine with TensorFlow Graph
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Artificial Intelligence Certification

The entire content of this AI course is developed by leading AI professionals to help you find the best artificial intelligence engineering job at the top MNCs. During the certification training, you will work on real-world projects that will help evaluate your skills and learning in real-time business scenarios, thus helping you accelerate your career effortlessly.

Upon the completion of this artificial intelligence online course, there will be quizzes that reflect the type of questions asked in the certification examination and will help you score better.

Intellipaat Course Completion Certification will be awarded on the completion of the project work (after the expert review) and upon scoring at least 60 percent marks in the quiz. Intellipaat certification is well recognized in top 80+ MNCs like Ericsson, Cisco, Cognizant, Sony, Mu Sigma, Saint-Gobain, Standard Chartered, TCS, Genpact, Hexaware, etc.

Our Alumni works at top 3000+ companies

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Artificial Intelligence Training Review

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Mr Yoga

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John Chioles

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Ritesh

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Dileep & Ajay

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Sagar

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Ashok

Gajraj Singh

Artificial Intelligence Programmer at Accenture

Intellipaat offered fully updated learning material for the best Artificial Intelligence training. The video quality and other course materials were appreciable. I would definitely recommend Intellipaat's AI training to my friends.

Mary Jain

Senior Machine Learning Expert at Microsoft

Artificial Intelligence trainers of Intellipaat simplified the topics of Artificial Intelligence, Machine Learning, and TensorFlow to help even an average learner grasp these toughest concepts. Thank you, Intellipaat!

Samar Jain

Business Analyst at McKinsey & Company

Intellipaat Artificial Intelligence training had great projects in building chatbots and other cool real-world applications. The entire certification training course was up to the mark. I found it one of the best AI courses online.

Frequently Asked Questions on Artificial Intelligence

What is Intellipaat’s Artificial Intelligence online course?

Our Artificial Intelligence online training involves the simultaneous participation of both learners and instructors in an online environment. Being a learner, you can log in to our applied AI course sessions from anywhere and attend the class without having to be present physically. Also, we record the proceedings of all AI classes and equip you with them to further enhance your learning process. On the completion of this AI training online, your experience will be equivalent to that of a professional who has worked for 6 months in the industry.

At Intellipaat you can enroll either for the instructor-led online training or self-paced training. Apart from this Intellipaat also offers corporate training for organizations to upskill their workforce. All trainers at Intellipaat have 12+ years of relevant industry experience and they have been actively working as consultants in the same domain making them subject matter experts. Go through the sample videos to check the quality of the trainers.
Intellipaat is offering the 24/7 query resolution and you can raise a ticket with the dedicated support team anytime. You can avail the email support for all your queries. In the event of your query not getting resolved through email we can also arrange one-to-one sessions with the trainers. You would be glad to know that you can contact Intellipaat support even after completion of the training. We also do not put a limit on the number of tickets you can raise when it comes to query resolution and doubt clearance.
Intellipaat offers the self-paced training to those who want to learn at their own pace. This training also affords you the benefit of query resolution through email, one-on-one sessions with trainers, round the clock support and access to the learning modules or LMS for lifetime. Also you get the latest version of the course material at no added cost. The Intellipaat self-paced training is 75% lesser priced compared to the online instructor-led training. If you face any problems while learning we can always arrange a virtual live class with the trainers as well.
Intellipaat is offering you the most updated, relevant and high value real-world projects as part of the training program. This way you can implement the learning that you have acquired in a real-world industry setup. All training comes with multiple projects that thoroughly test your skills, learning and practical knowledge thus making you completely industry-ready. You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc. Upon successful completion of the projects your skills will be considered equal to six months of rigorous industry experience.
Intellipaat actively provides placement assistance to all learners who have successfully completed the training. For this we are exclusively tied-up with over 80 top MNCs from around the world. This way you can be placed in outstanding organizations like Sony, Ericsson, TCS, Mu Sigma, Standard Chartered, Cognizant, Cisco, among other equally great enterprises. We also help you with the job interview and résumé preparation part as well.
You can definitely make the switch from self-paced to online instructor-led training by simply paying the extra amount and joining the next batch of the training which shall be notified to you specifically.
Once you complete the Intellipaat training program along with all the real-world projects, quizzes and assignments and upon scoring at least 60% marks in the qualifying exam; you will be awarded the Intellipaat verified certification. This certificate is very well recognized in Intellipaat affiliate organizations which include over 80 top MNCs from around the world which are also part of the Fortune 500 list of companies.
Apparently, No. Our Job Assistance program is aimed at helping you land in your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and assists you in finding a well-paid job, matching your profile. The final decision on your hiring will always be based on your performance in the interview and the requirements of the recruiter.
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