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Course PreviewThis artificial intelligence course in Melbourne helps you learn TensorFlow, tensor processing unit, TensorCode, deploying supervised & unsupervised learning, working with vectorizationand more through hands-on projects.
Anyone can take up 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, and 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.
Here we have discussed the AI market trends:
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| Trend | Description |
| Proactive business environment | Melbourne is a city that is known for its proactive business environment. This means that the city is supportive of new businesses and startups, and it is also home to a number of large corporations that are investing in AI. |
| Growing demand for AI skills | The demand for AI skills is growing in Melbourne, Australia. This is due to the increasing adoption of AI by businesses in a variety of industries. |
| Expansion of AI market | The AI market in Melbourne, Australia, is expanding rapidly. This is due to the factors mentioned above, as well as the availability of government funding and support for AI research and development. |
| Opportunities for AI professionals | There are many opportunities for AI professionals in Melbourne, Australia. This is a city that is at the forefront of the AI revolution, and there is a high demand for skilled AI professionals. |
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, the most important aspect of artificial intelligence, is used via 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 in Melbourne today.
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From the Indian National Academy of Engineering, his research area includes data mining, process design and optimization, FDD, etc. He has co-authored several reconciliation papers and a course book, ‘Data Science for Engineers’ on the NPTEL platform.
Dr. Tangirala is a professor at IIT Madras with expertise in analytical chemistry and a keen interest in controller performance monitoring, time-frequency analysis of processes, fuel cells, etc.
Dr. Babji Srinivasan is an assistant professor in the Department of Applied Mechanics at IIT Madras. He holds a PhD from Texas Tech University, and his research interests span from behavioral informatics to cognitive systems engineering.
He is an assistant professor in the biotech department at IIT Madras and holds a DSc from EPFL, Switzerland. His research interests include the modeling and optimization of biological networks and Machine Learning.
Suresh Ramadurai is involved in teaching market research as a visiting faculty member at various IIMs and in training analytics professionals. He is an IIT Delhi graduate with a degree in chemical engineering and holds a PG Diploma in Management from IIM Bangalore.
Dr. Ravi Hegde, who holds a PhD from the University of Michigan, Ann Arbor, has over 22 years of experience specializing in the intersections of nanotechnology and AI, nanophotonics for beyond-moore computing, and immersive sensing.
He has over 15 years of expertise handling various analytics projects, using several ML algorithms in multiple business domains. He has extensive knowledge of SAS, SQL, R, and Python and is proficient in big data environments.
Anurag Singh works at Schneider Electric Hub as a principal AI architect. He started as a software engineer in 2007 and has been working as a data scientist since 2018. He specializes in big data, data science, machine learning, and AI system architecture.
Phaneendra Akula is currently working at Sunrise Biztech Systems Private Limited. He has more than nine years of experience in data science and has worked in prestigious companies like Genpact, TCS, and Tesco.
Nishkam Shivam is a senior data scientist in analytics and AI at Bristlecone. He has more than nine years of experience in this field and has also worked in renowned companies like Accenture, Walmart, Emeritus, and many more.
He comes with more than 16 years of experience and worked with top MNCs like Apple, Amazon, etc.
Vishwath Parthasarathy is a data scientist-III at InMobi. He has also worked at Amazon and PipeCandy. His expertise extends to machine learning, deep learning, MLOps, and algorithmic trading. He has been working as a data scientist since 2017.
Dr. Jayadev completed his Ph.D. from IIT Madras. He is currently employed as a Senior Data Scientist at GyanData and has over 11 years of experience, including working as a Project Associate at IIT Madras.
Data Science
Python
Data Analysis
Git
AI
MLOps
SQL
Data Wrangling
Prediction Algorithms
Statistics and Probability
Machine Learning
Deep Learning
Natural Language Processing (NLP)
Generative AI
PySpark
Data Visualization
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The artificial intelligence capstone project will assess your approach to solving complex business problems using deep neural networks.
Artificial Intelligence Projects and Assignments
Intellipaat has initiated various programs in partnership with NASSCOM. The AI courses offered by them aim to upskill millions of students and professionals in trending technologies through a blend of theoretical and hands-on knowledge and are taught by leading academicians.
Upon completion of this Artificial Intelligence course, you will:
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Our artificial intelligence online training involves the simultaneous participation of both learners and instructors in an online environment. As a learner, you can log in to our applied AI course sessions from anywhere and attend the class without having to be physically present. Also, we record the proceedings of all AI classes and equip you with them to further enhance your learning process. Upon 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.
Simply put, artificial intelligence is the intelligence that is demonstrated by machines to perform tasks that are otherwise done by humans. This is achieved through machine learning and deep learning.
Deep learning is essentially a subset of machine learning that involves predictive modeling and statistics. It facilitates predictive analytics. Currently, deep learning is widely used in image recognition, NLP, and speech recognition.
You can become an AI Engineer by acquiring all the essential skills that an AI professional should possess. Intellipaat’s artificial intelligence and machine learning courses can help you do exactly that. Enroll in the online training program to master the domain comprehensively. After the completion of the course and all of the projects, you will be ready to attempt the certification exam conducted by Intellipaat.
Yes! Before the exam, Intellipaat provides practice tests for the students to familiarize themselves with the exam format and get an idea of the kinds of questions that may be asked.
We have both instructor-led training and self-paced training in this artificial intelligence course. It depends on your preference.
