Artificial Intelligence Course in Melbourne

Name: Artificial Intelligence Course in Melbourne
Item: Artificial Intelligence Course in Melbourne
Rating: 5

Artificial Intelligence Course in Melbourne Overview

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.

Who should take this Artificial Intelligence training in Melbourne?

Professionals in analytics, data science domains, ecommerce, search engine domains
Software professionals looking for a career switch and fresh graduates.

What are the prerequisites for taking this AI training in Melbourne?

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

What are the AI job opportunities in Melbourne?

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.

What is the AI market trend in Melbourne?

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.

Why should you take this Artificial Intelligence course in Melbourne?

Today, Artificial Intelligence has conquered almost every industry. Within a year or two, nearly 80% of emerging technologies will be based on AI. Machine Learning, especially Deep Learning, which is the most important aspect of Artificial intelligence, is used from AI-powered recommender systems (Chatbots) and Search engines for online movie recommendations. Therefore, to remain relevant and gain expertise in this emerging technology, enroll in Intellipaat’s AI Course.

Here are a few reasons why Artificial Intelligence is a great career option:

There are over 35,000 job opportunities available for AI professionals in the United States alone – LinkedIn
AI Engineers earn over US$114k per annum in the United States – Glassdoor

This will help you build a solid AI career and get the best artificial intelligence engineer positions in leading organizations.

Talk To Us

IN : +91-7022374614
US : 1-800-216-8930 (Toll Free)

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

$ 449 $349 10% OFF Expires in

Corporate Training

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

Artificial Intelligence Course Content in Melbourne

Module 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.

Module 02 - Multi-layered Neural Networks

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.

Module 03 - Artificial Neural Networks and Various Methods preview videos

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.

Module 04 - Deep Learning Libraries

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.

Module 05 - Keras API preview videos

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.

Module 06 - TFLearn API for TensorFlow

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

Module 07 - Dnns (deep neural networks) preview videos

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.

Module 08 - Cnns (convolutional neural networks)

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.

Module 09 - Rnns (recurrent neural networks) preview videos

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.

Module 10 - Gpu in deep learning

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.

Module 11- Autoencoders and restricted boltzmann machine (rbm) preview videos

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.

Module 12 - Deep learning applications

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

Module 13 - Chatbots preview videos

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).

Free Career Counselling

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

Artificial Intelligence Certification in Melbourne

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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

Artificial Intelligence Training Reviews in Melbourne

Mr Yoga

John Chioles

Ritesh

Dileep & Ajay

Sagar

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.

FAQ’s on Artificial Intelligence Course

What is Intellipaat’s Artificial Intelligence course in Melbourne?

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.

What are the different modes of training that Intellipaat provides?

At Intellipaat, you can enroll in either 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, which has made them subject matter experts. Go through the sample videos to check the quality of our trainers.

Can I request for a support session if I need to better understand the topics?

Intellipaat is offering the 24/7 query resolution, and you can raise a ticket with the dedicated support team at anytime. You can avail of the email support for all your queries. If your query does not get resolved through email, we can also arrange one-on-one sessions with our trainers.

You would be glad to know that you can contact Intellipaat support even after the completion of the training. We also do not put a limit on the number of tickets you can raise for query resolution and doubt clearance.

Can you explain the benefits of Intellipaat’s self-paced training?

Intellipaat offers self-paced training to those who want to learn at their own pace. This training also gives you the benefits of query resolution through email, live sessions with trainers, round-the-clock support, and access to the learning modules on LMS for a lifetime. Also, you get the latest version of the course material at no added cost.

Intellipaat’s self-paced training is 75 percent 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.

What kind of projects are included as part of the training?

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 real-world industry setup. All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, 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. After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.

Does Intellipaat offer job assistance?

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 such as Sony, Ericsson, TCS, Mu Sigma, Standard Chartered, Cognizant, and Cisco, among other equally great enterprises. We also help you with the job interview and résumé preparation as well.

Is it possible to switch from self-paced training to instructor-led training?

You can definitely make the switch from self-paced training to online instructor-led training by simply paying the extra amount. You can join the very next batch, which will be duly notified to you.

How are Intellipaat-verified certificates awarded?

Once you complete Intellipaat’s training program, working on real-world projects, quizzes, and assignments and scoring at least 60 percent marks in the qualifying exam, you will be awarded Intellipaat’s course completion certificate. This certificate is very well recognized in Intellipaat-affiliated organizations, including over 80 top MNCs from around the world and some of the Fortune 500companies.

Does the job assistance program guarantee me a Job?

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 find a well-paid job, matching your profile. The final decision on hiring will always be based on your performance in the interview and the requirements of the recruiter.

Talk to us

IN : +91-7022374614
US : 1-800-216-8930 (toll free)

Artificial Intelligence Course in Melbourne, Australia

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