AI & Deep Learning Course Training in USA
- 24 Hours Classroom & Online Sessions
- 60+ Hours Assignments & eLearning
- 100% Job Assistance
- 2 Capstone Projects
- Industry Placement Training
463 Reviews
2117 Learners
Academic Partners & International Accreditations
"The size of the North American market for Artificial Intelligence will be $29,000 million by 2025." - (Source). Huge investments and interest in Artificial Intelligence are expected to increase in the long run in the near future. As per McKinsey predictions, about 15% of vehicles will be fully automated in 2030. The number of startups based on AI in the US has increased by 114% between 2015 to 2018. By the latest advancements in Deep Learning, AI is being extensively used for search engines, virtual assistants, online translators, and many sales and marketing decisions. Tesla and Audi manufactured semi-autonomous cars and are working to improve to reach into full automated cars. AI is rapidly being adopted by many sectors and there is a demand for AI professionals.
AI & Deep Learning
Total Duration
2 Months
Prerequisites
- Computer Skills
- Basic Mathematical Knowledge
- Basic Data Science Concepts
Artificial Intelligence Training Overview
The objective of this offering is to provide not only a 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.
Artificial Intelligence Course Outcomes
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 the USA ensures that participants become seasoned practitioners in dealing with both structured and unstructured data. From this training, the students will learn concepts of Deep learning algorithms and Natural language processing.
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Who Should Sign Up?
- IT Engineers
- Data and Analytics Manager
- Business Analysts
- Data Engineers
- Banking and Finance Analysts
- Marketing Managers
- Supply Chain Professionals
- HR Managers
- Math, Science and Commerce Graduates
AI & Deep Learning Training Modules
360DigiTMG has instructors that are industry-leading experts in Machine Learning, Data Science, and related technologies. Artificial Intelligence and Deep Learning training course in the USA is delivered by 360DigiTMG. The main objective of this training is to provide a workforce and bridge the gap between business needs and talent. The module of the course is designed comprehensively by industry stalwarts. The module introduces Artificial Intelligence and Deep learning in neural networks. Students will learn Python libraries that include Keras, Tensor Flow, and OpenCV. The modules also cover different algorithms like perceptron and backpropagation. Learn Images processing and Computer vision data which is quite different from the regular tabular data and needs to be handled in a particular manner. Students also learn LSTMs that 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. The modules also explain deeply about Reinforcement and Q-learning. 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. Students will have the opportunity to build a chatbot from scratch. We start from a simple rules-based one to a more complex using NLP techniques. 360DigiTMG ensures that the students should gain a thorough knowledge of concepts and applications of statistical tools through hands-on experience. It also helps students to develop relevant skills that are required to grab lucrative jobs in giant companies.
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.
Tools Covered
Artificial Intelligence Trends in USA
Artificial Intelligence is growing exponentially and its applications are used in every area of life. The AI is effecting and is going to significantly change and improve the process of work. Let’s peek into the latest trends of AI and Deep Learning. AI is playing a pivotal role in the Retail business. Amazon has efficiently started implementing AI technology in its physical stores. It has incorporated technology that is used in Self-driving cars including computer monitoring and deep learning processes in its business. The AI inbuilt tools help in detecting the products and getting them charged in an individual’s amazon account making the shopping experience worthwhile and easy for customers. Walmart has introduced using thousands of robots in its store replacing the human workforce. Apart from biometrics, facial recognition tools are driving a huge momentum in the market and going to be implemented very soon in many stores. By analyzing the facial expression while observing the various products, the personalized promotion of the products will be done by sensors observations.
As per the Mckinsey global institute predictions, by 2055 the robots will perform half of our work tasks which are repetitive and routine, making humans concentrate on creative works. For eg: JPMorgan Chase & Co. introduced COIN which means Contract Intelligence, based on AI. This COIN helps to analyze the commercial loan agreements in a fraction of seconds which is usually done by a team of lawyers for hours. This technology has reduced time, effort, and cost. AI and deep learning technologies are being used in Healthcare for diagnosis and treatment. IBM introduced an AI assistant named Watson, which is being used by many hospitals across the world in detecting cancer. AI tools are going to improve healthcare significantly in the coming years. AI chatbots became popular in a short time and are being used by many companies for an effective conversation with their customers leading to an increase in sales and production. AI and deep learning technologies are going to impact the world by reducing human errors and the workforce.
How We Prepare You
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Additional Assignments of over 60 hours
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Live Free Webinars
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Resume and LinkedIn Review Sessions
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3 Month Access to LMS
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24/7 Support
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Job Assistance in Artificial Intelligence Fields
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Complimentary Courses
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Unlimited Mock Interview and Quiz Session
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Hands-on Experience in a Live Project
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Life Time Free Access to Industry Webinars
Call us Today!
+60 19-383 1378AI Course Panel of Coaches in United States
Bharani Kumar Depuru
- Areas of expertise: Data Analytics, Digital Transformation, Industrial Revolution 4.0
- Over 18+ years of professional experience
- Trained over 2,500 professionals from eight countries
- Corporate clients include Deloitte, Hewlett Packard Enterprise, Amazon, Tech Mahindra, Cummins, Accenture, IBM
- Professional certifications - PMP, PMI-ACP, PMI-RMP from Project Management Institute, Lean Six Sigma Master Black Belt, Tableau Certified Associate, Certified Scrum Practitioner, (DSDM Atern)
- Alumnus of Indian Institute of Technology, Hyderabad and Indian School of Business
Sharat Chandra Kumar
- Areas of expertise: Data sciences, Machine learning, Business intelligence and Data Visualization
- Trained over 1,500 professional across 12 countries
- Worked as a Data scientist for 18+ 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, Python, Tableau, Cognos
- Corporate clients include DuPont, All-Scripts, Girnarsoft (College-, Car-) and many more
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Bhargavi Kandukuri
- Areas of expertise: Business analytics, Quality management, Data
visualisation with Tableau, COBOL, CICS, DB2 and JCL - Electronics and communications engineer with over 19+ years of industry experience
- Senior Tableau developer, with experience in analytics solutions development in domains such as retail, clinical and manufacturing
- Trained over 750+ professionals across the globe in three years
- Worked with Infosys Technologies, iGate, Patni Global Solutions as technology analyst
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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Alumni Speak
"Coming from a psychology background, I was looking for a Data Science certification that can add value to my degree. The 360DigiTMG program has such depth, comprehensiveness, and thoroughness in preparing students that also looks into the applied side of Data Science."
"I'm happy to inform you that after 4 months of enrolling in a Professional Diploma in Full Stack Data Science, I have been offered a position that looks into applied aspects of Data Science and psychology."
Nur Fatin
Associate Data Scientist
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"360DigiTMG has an outstanding team of educators; who supported and inspired me throughout my Data Science course. Though I came from a statistical background, they've helped me master the programming skills necessary for a Data Science job. The career services team supported my job search and, I received two excellent job offers. This program pushes you to the next level. It is the most rewarding time and money investment I've made-absolutely worth it.”
Thanujah Muniandy
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"360DigiTMG’s Full Stack Data Science programme equips its graduates with the latest skillset and technology in becoming an industry-ready Data Scientist. Thanks to this programme, I have made a successful transition from a non-IT background into a career in Data Science and Analytics. For those who are still considering, be bold and take the first step into a domain that is filled with growth and opportunities.”
Ann Nee, Wong
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"360DigiTMG is such a great place to enhance IR 4.0 related skills. The best instructor, online study platform with keen attention to all the details. As a non-IT background student, I am happy to have a helpful team to assist me through the course until I have completed it.”
Mohd Basri
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"I think the Full Stack Data Science Course overall was great. It helped me formalize and think more deeply about ways to tackle the projects from a Data Science perspective. Also, I was remarkably impressed with the instructors, specifically their ability to make complicated concepts seem very simple."
"The instructors from 360DigiTMG were great and it showed how they engaged with all the students even in a virtual setting. Additionally, all of them are willing to help students even if they are falling behind. Overall, a great class with great instructors. I will recommend this to upcoming deal professionals going forward.”
Ashner Novilla
Our Alumni Work At
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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.
Jobs in Field of AI & Deep Learning in USA
The job roles in the field of Artificial Intelligence include Artificial Intelligence Developer, Artificial Intelligence Scientist, Artificial Intelligence Engineer, Artificial Intelligence & Machine Learning Engineer, etc.
Salaries in USA for Artificial Intelligence
The average salary for an AI Engineer in the US is up to $114,121, ranging from $77,000 to $151,000. The salary varies depending upon the experience and roles in the organizations.
Artificial Intelligence Projects in USA
Many projects are being carried out using AI and Deep learning tools in sectors that include Banking, Automation, Finance, and Healthcare.
Role of Open Source Tools in Artificial Intelligence
Python, R, and RStudio are eminent statistical tools that help in deploying models. The applications of these statistical tools are very important for students who want to train in AI and Deep Learning.
Modes of Training for Artificial Intelligence
360DigiTMG delivers training through both classrooms as well as online. The Online mode of learning is flexible and students can choose timings as per their schedule.
Industry Applications of Artificial Intelligence
Artificial Intelligence technology is being adopted rapidly by many industries that include Manufacturing, Automation, Healthcare, Banking, Insurance, Education, Agriculture, Hotel, Finance, Retail, and many more.
Companies That Trust Us
360DigiTMG offers customised corporate training programmes that suit the industry-specific needs of each company. Engage with us to design continuous learning programmes and skill development roadmaps for your employees. Together, let’s create a future-ready workforce that will enhance the competitiveness of your business.
Student Voices
Sana Ahsan
2 years agoI still remember going through websites for the Data Scientist course and reading reviews. That's when I finally found 360DigiTMG. Today, I will consider 360DigiTMG as the best one because it has offered me way more than any other training institute can do: Incredible curriculum, instructors, mentorship, and most job search skills and interviews best practices. One of the best decisions I made, I strongly recommend the Data Science program at 360DigiTMG to anyone looking for a Data Scientist/Analyst role. I am happy to announce that presently I am deputed as a Specialist Data Scientist at one of the top MNC.
Suriyaa Kumar
2 years agoI attended the Certification in Data Science program by 360DigiTMG. The course was amazing. I had a great learning & networking experience. Also, trainers are highly experienced and knowledgeable in the field of Data Science. I will recommend this course to anyone who wants to become a Data Scientist.
Asyraaf Afandi
2 years agoI joined the Data Science Certification Program which is a great place to learn if you want to start your career in the Data Science industry. The trainers are very knowledgeable and will try to explain the topics until you truly understand it. I would definitely recommend others to join it.
Iqmal Harris
2 years agoThe courses are taught by seasoned industry experts who know how to train absolute beginners and established professionals alike. Glad to have trained under 360DigiTMG.
Zarif Iqram
2 years agoI worked on a Survival Analysis project, which gave me good exposure and boosted my skill set in Business Intelligence with Power BI. Good to have it more and be involved in the real-time projects.
