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AI & Deep Learning Course in USA

Learn AI concepts and practical applications in the Certification Program in AI and Deep Learning. Get set for a career as an AI expert.

Live Instructor Led Online Training: 48 Hours

Artificial Intelligence Training Overview

The objective of this offering is to provide not only conceptual understanding of the deep learning skills but also the practical applications in marketplace scenarios prevailing in the USA. This course serves as a perfect launchpad for professionals with an appreciation of statistics and knowledge of programming languages such as Python, R and RStudio into a career of AI and Deep Learning. Students will learn how to build AI applications, understand the ever-evolving neural network architectures, create AI algorithms and minimize errors through advanced optimization techniques. By successfully graduating from this course, they will be able ready for careers in computer vision related image processing domains.

Course Details

Artificial Intelligence Course Outcomes

Build AI systems using Deep Learning algorithms
Analyse sequence data and perform text analytics and Natural Language Processing using Recurrent Neural Networks
Implement Deep Learning solutions and Image Processing applications using Convolution Neural Networks
Process and analyse unstructured data such as images, videos and text
Use various Python libraries such as Keras, TensorFlow and OpenCV to solve AI and Deep Learning problems
Apply graphical processing units in using Deep Learning algorithms

AI & Deep Learning Training Modules

This module serves as an introduction to Artificial Intelligence and specifically Deep learning for neural networks. How has AI evolved over the years and what is driving the current surge in deep learning revolution and discuss the state of the art.

This module introduces deep learning frameworks and libraries like TensorFlow, TensorFlow 2.0, OpenCV and Keras. Some of the salient features of each of the libraries are introduced.

This module introduces the perceptron and backpropagation methods which form the backbone of neural networks.

This module extends the concepts introduced in the previous chapters to multiple hidden layers.

Convolutional neural networks are a vast improvement on the MLP algorithm which has greatly increased the efficiency of ANNs. We discuss the fundamental concepts and basic building blocks of CNNs.

Images data is quite different from the regular tabular data and needs to be handled in a particular manner. Since machine learning algorithms rely on mathematical computations, images need to be processed and converted into numerical (preferably vectorised) representations. This module addresses how that is accomplished.

RNNs are a particular type of deep learning architecture that has had a very high success rate in image and object detection problems. This module introduces the architecture of RNNs and the different variations.

LSTMs are particular types of RNNs. They have something called a ‘memory’ cell which ‘remembers’ information as it flows through the network. Hence this makes LSTMs best for forecasting type problems or any use case that has a temporal component.

This architecture is another specialized type of LSTMs. This module goes into the most efficient implementation of a GRU.

Auto encoders are a type of unsupervised networks. RBMs are no longer used, but are important for historical purposes.

This type of architecture belongs to the generative class of neural networks. The differentiating feature of this architecture is that there is no connection between the cells/neurons in a single layer.

Another type of generative architecture, this class of networks have two competing networks. One network tries to create a clone of the original input while the other tries to spot the fake. After enough training the networks produce near identical clones of the original input (typically images)

This is different from Supervised and unsupervised learning, which uses a concept called reinforcement. It builds upon the Markov Decision Process and builds an architecture that differs from both supervised and unsupervised approaches.

This is the part where you use all your knowledge to build a chatbot from scratch. We start from a simple rules based one, to a more complex one using NLP techniques.

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11.5 MillionAI practitioners are needed by 2022 according to the IBM Business Value study.

Block Your Time

ai course in singapore - 360digitmg

48 hours

Classroom Sessions

ai course in singapore - 360digitmg

60 hours

Assignments &
e-Learning

ai course in singapore - 360digitmg

60 hours

Live Projects

Who Should Sign Up?

  • Those aspiring to be Data scientists, or Deep learning and AI experts
  • Analytics managers and professionals, Business analysts and developers
  • Graduates looking for a career in Machine learning, Deep learning or AI
  • Professionals looking for mid-career shift to AI
  • Students entering the IT industry

AI & Deep Learning

artificial intelligence course duration in singapore- 360digitmg

Total Duration

2 Months

artificial intelligence course pre-requisite in singapore- 360digitmg

Prerequisites

  • Computer Skills
  • Basic Mathematical Knowledge
  • Basic Data Science Concepts

Tools Covered

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Over the past few years, the market has been flooded with a multitude of ‘Artificial Intelligence’ courses in USA and other major countries. But most of them are sub-standard and only scratch the surface. 360DigiTMG has instructors that are industry leading experts in Machine Learning, Data Science and related technologies. The field of artificial intelligence is morphing into an unstoppable force that the US based companies are looking to capitalize on. This provides a tremendous opportunity for professionals to get into this market and command handsome salaries. The demand for AI professionals has grown by 29% from 2018 to 2019 and the average salary could be well over $100,000. This alone should be a prime motivating factor for professionals on the edge about whether to begin their careers in this hot domain. 360DigiTMG’s much researched and backed by industry experts, artificial intelligence training for students in USA ensures that participants become seasoned practitioners in dealing with both structured and unstructured data.

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Limited seats available.

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ai course modules in singapore - 360digitmg

AI Course Panel of Coaches in United States

artificial intelligence course trainers - 360digitmg

Bharani Kumar Depuru

  • Areas of expertise: Data analytics, Digital Transformation, Industrial Revolution 4.0
  • Over 14+ years of professional experience
  • Trained over 2,500 professionals from eight countries
  • Corporate clients include Hewlett Packard Enterprise, Computer Science Corporation, Akamai, IBS Software, Litmus7, Personiv, Ebreeze, Alshaya, Synchrony Financials, Deloitte
  • Professional certifications - PMP, PMI-ACP, PMI-RMP from Project Management Institute, Lean Six Sigma Master Black Belt, Tableau Certified Associate, Certified Scrum Practitioner, AgilePM (DSDM Atern)
  • Alumnus of Indian Institute of Technology, Hyderabad and Indian School of Business
Read More >
 
artificial intelligence course trainers - 360digitmg

Sharat Chandra Kumar

  • Areas of expertise: Data sciences, Machine learning, Business intelligence and Data visualisation
  • Trained over 1,500 professional across 12 countries
  • Worked as a Data scientist for 14+ years across several industry domains
  • Professional certifications: Lean Six Sigma Green and Black Belt, Information Technology Infrastructure Library
  • Experienced in Big Data Hadoop, Spark, NoSQL, NewSQL, MongoDB, R, RStudio, Python, Tableau, Cognos
  • Corporate clients include DuPont, All-Scripts, Girnarsoft (College-dekho, Car-dekho) and many more
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artificial intelligence course trainers - 360digitmg

Nitin Mishra

  • Areas of expertise: Data sciences, Machine learning, Business intelligence and Data visualisation
  • Over 20+ years of industry experience in data science and business intelligence
  • Trained professionals from Fortune 500 companies and students at prestigious colleges
  • Experienced in Cognos, Tableau, Big Data, NoSQL, NewSQL
  • Corporate clients include Time Inc., Hewlett Packard Enterprise, Dell, Metric Fox (Champions Group), TCS and many more
Read More >
 
artificial intelligence certification in singapore- 360digitmg

Certificate

Win recognition for your AI skills with the Certification Program in AI and Deep Learning. Stand out in this emerging yet competitive field with our certification.

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FAQs for AI & Deep Learning Course

The easiest way to understand the relationship between AI and Deep Learning is to visualise them as concentric circles. In that, AI is an idea that came first in which machines exhibit human intelligence. Machine Learning came next, which is an approach to achieve AI. And finally, Deep learning, which is driving today’s AI explosion, is a technique to implement Machine Learning.

While salaries of AI experts go up to US$ 1 million a year, it could start from US$ 150,000, on an average.

https://www.datamation.com/artificial-intelligence/ai-salaries.html

The salary range varies based on experience, industry, domain, geography and various other parameters. However, as a general rule of thumb, we can go with research conducted by job portals. On an average, in Malaysia, Machine learning professionals draw salaries of RM 165,074 per annum. Refer to ->

https://www.salaryexpert.com/salary/job/machine-learning-engineer/malaysia

On an average, Data scientist salaries are around RM 102,000 per annum.

If you miss a class, we will arrange for a recording of the session. You can then access it through the online Learning Management System.

We assign mentors to each student in this program. Additionally, during the mentorship session, if the mentor feels that you require additional assistance, you may be referred to another mentor or trainer.

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