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Course PreviewIntellipaat offers one of the best AI courses in Chicago, Illinois that will help you master deep learning, building artificial neural networks, various layers and components of artificial neural networks, and supervised, unsupervised, and reinforcement learning methodologies through hands-on projects and case studies.
Anybody can take this Training Course regardless of their prior skills.
Chicago is one of the biggest cities in the United States of America. It is home to a large number of enterprises in the domains of manufacturing, logistics, technology, technology, and others. All these industries are heavily invested in AI making it a lucrative market for AI jobs.
Here we have discussed the AI market trends:
| Factors | Impact on the AI market in Chicago |
| Vibrant economy | Provides a strong foundation for the growth of AI-related businesses and startups. |
| Government support | Provides funding and resources for AI research and development. |
| Industry support | Encourages businesses to adopt AI technologies. |
| Top technologies | Create new opportunities for AI applications. |
| Market trend | The AI market in Chicago is growing rapidly. |
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 by 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:
This will help you build a solid AI career and get the best artificial intelligence engineer positions in leading organizations.
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*Past record is no guarantee of future job prospects
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 Assignments and Projects
The 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 course, you will:
Land Your Dream Job Like Our Alumni
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 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 for mastering 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. It depends on your preference.
Apart from the Artificial Intelligence course in Chicago, we offer specialized programs such as R Certification, Machine Learning, Data Analytics, Python for Data Science, Python, Business Analytics Course, and various practical-based training.
