Continuous learning is the key to stay ahead of the competition and to chart a successful career path. That’s why industry training programs are recommended for both fresh graduates and experienced working professionals. Even students in their final year of graduation can join these training programs and increase their career growth and success. One of such emerging technologies is Artificial Intelligence, which is almost 90% of all the upcoming technologies predicted by Gartner in 2019. This technology is now being used in almost all industries and sectors, both in production and in research. Professionals and graduates who want to build their career in this advanced field can take up AI courses in Bangalore due to the thriving ecosystem and lucrative jobs.
Corpnce is the leading AI course institute in Bangalore that offers the best AI certification courses in Bangalore. We provide practical training that will help you apply the learnings in the work environment.
In general use, the term “artificial intelligence” means a machine which mimics human intelligence or cognition. According to a study by McKinsey Global Institute, AI is estimated to create an additional 13 trillion US dollars of value annually by the year 2030. Even though AI is already creating tremendous amounts of value into the software industry, a lot of the value to be created in the future lies outside the software industry. In sectors such as retail, travel, transportation, automotive, materials, manufacturing and so on. The emergence of AI courses in Bangalore and other major cities is proof of the increasing reach of this technology and the need for qualified professionals to do further research in this field.Read More
If you check the curriculum of the best AI courses in Bangalore, you will see that the curriculum includes concepts from deep learning, data science, and machine learning. That is because AI, ML, DL & DS are very closely related.
While, in many conditions artificial intelligence may be used interchangeably with deep learning or machine learning, the technical differences between the two streams are broad. However, you need to note that the distinctions between these terms aren’t clear-cut. They are related to one another, yet distinct and threaded together by data.
Artificial Intelligence describes machines that can perform tasks resembling those of humans. So, AI implies machines that artificially model human intelligence. AI systems help us manage, model, and analyse complex systems. It is the superset which has Machine Learning & Deep Learning as a subset.
Machine learning uses algorithms to parse data, learn from that data, and make informed decisions based on what it has learned
Deep learning structures algorithms in layers to create an “artificial neural network” that can learn and make intelligent decisions on their own. Deep learning is a subfield of machine learning. While both fall under the broad category of artificial intelligence, deep learning is what powers most human-like artificial intelligence.Read More
Data science is the field of study that combines domain expertise, programming skills, and knowledge of maths and statistics to extract meaningful insights from data.READ MORE
Machine learning is an application of artificial intelligence (AI) that provides systems with the ability to automatically learn and improve from experience without beingREAD MORE
Corpnce offers Data Science, Machine Learning, Deep Learning & AI courses in Bangalore. We are the best institute for AI course certification in Bangalore as we follow a project-based learning and TQ methodology. The curriculum is designed such that the trainee learns from the basic to advanced concepts without hassles. Also, as a part of the curriculum, the trainee will work on industry use cases and will go through 6 months of internship if they like. These projects will allow to enhance coding and research skills for AI jobs in companies like Amazon, Google, and Microsoft etc.
Corpnce believes in quality and we are selective to who can attend the course since the sitting capacity is limited. The maximum strength of each batch is usually around 15 trainees. This means that there is a lot of scope for trainees to interact with the trainer to clear doubts and learn in depth process.
As a part of responsibility to democratize AI, Corpnce has competitive AI course fees in Bangalore. Our fees are one fourth of similar course prices and provides maximum value for your buck.
So, if you are planning to build a career in the field of Artificial Intelligence, you need to learn from the best and we at Corpnce AI training institute in Bangalore redefining the definition of how everyone can learn and use AI. Contact us to apply for our AI course in Bangalore with 100% placement assistance.
Corpnce Offers Project- based Classroom Learning By Industry
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Working professionals from any industry with prior coding knowledge or exposure to data driven process can join our Machine Learning training in Bangalore. In case, their profile doesn’t match above criteria they need to qualify the python fundamental test & TQ evaluation test to take up the DS course.
Technical Student from Engineering, MCA, BCA, MTech, PHD, Medical, Statistics, Finance can join the course subject to initial screening same as for working professionals.
Our course syllabus is designed from basics all the way to advance concepts, so freshers will not face any problem in projects. Since the demand for data science is more than the current resources, we can expect some huge opportunists coming in near future. Currently we need 4000 fresher in data science by 2018. It’s a good number!
The duration of Machine Learning Course in Bangalore is 5-6 Months for weekend batches. We don’t compromise with the quality of teaching and also make sure to complete the course in right time. For other courses refer the course particulars.
No, you don’t need prior knowledge, but if you have strong fundamentals of statistics, mathematics and basic knowledge of python then it is a bonus.
Placement of an individual depends solely on the candidate’s caliber. There are many factors that determines your placement – Communication, Technical Skills & Projects that you have done during course. And the most important factor is your performance on the D-day.
We do offer 100% Placement assistance to all the deserving candidates and the brighter ones make it to our in-house internship.
As the term suggest, it is a research and technology oriented job and that’s what makes it interesting and different from other jobs. Machine Learning professionals are the highest paid IT professionals since it needs in depth knowledge of statistics, love for data, logical reasoning, critical thinking, understanding of mathematics and fair amount of programming skills. If you love to explore and have the attitude to learn then you don’t need any masters or PHD degree to become a Machine Learning Engineer. Professionals in different job functions or industries who want to help their company leverage Machine Learning should learn Machine Learning. Apart from students ,other professional who can benefit by learning Machine Learning are database administrators, business analysts , Statisticians, researchers, computer scientists and data engineers.
Candidate is suppose to have the basics of Python for DS before enrolling for the course. They shall be evaluated before joining the DS course.
And the candidates need to put in at least 10-12hours of time towards the course over and above the class hours.
Candidates are expected to have their own laptop with Minimum: i3 or equivalent;
Student/Fresher: They can expect a starting package of at least 1.5times that of a regular IT job. (For Example: TCS pays a starting package of Rs.6.5Lakhs for New age skills whereas normal IT freshers land up with half the salary;
(Source https://timesofindia.indiatimes.com/business/india-business/tcs-doubles-pay-for-fresh-hires-with-new-age-skills/articleshow/66046643.cms )
Machine Learning as a career option can save you from the upcoming job-insecurity as well as this is the stepping stone to AI.
Corporate: Individuals from industry can expect at least 35-40% hike; in their current salary upon switching internally to the Machine Learning division and along with this, you can also expect better job security, thanks to the AI revolution.
Corpnce provides self-certification to the candidates upon successful completion of their course. Unlike earlier days industry values subject knowledge over certification hence one should be thorough with the subject
As per reports of Analytics India magazine there are more than 92000+ Data Science related jobs available in India. So, there is ample of opportunity for freshers & experienced professionals.
The Data driven decision making starts with relevant data collection for the right problem statement.
In the pipeline Big Data people who are also known as Data Engineers, are responsible for storing, collecting and systemizing the data. They supply right data at right time for analysis.
Data analytics (DA) & Data Science (DS) Engineers use the extracted data to get meaningful insights. DA is more focused towards Data Visualization & Data Screening, they might or might not need any coding skills as most of their work can be done on Excel Sheet/ Spread Sheet. They are more focused towards analyzing the past performance of the company.
Whereas the DS Engineers are more focused towards one very specific branch of statistics – predictive analytics. Here they need to have strong coding skills, math’s & stats skills and most important Machine Learning as a toolkit. So they can predict future performance of a business along with analyzing the past and present.
Machine Learning & Deep Learning are the subset of Artificial Intelligence (AI). Data Science includes Machine learning & Deep Learning as predictive models along with Exploratory Data Analysis.
A Data Scientist needs to have good ML skills and intuition to raise right question to solve business problems. Whereas, ML & DL engineers are only focus towards specific prediction problems like image processing, Natural language processing (NLP), pattern recognition, Semantics, Crowd Computing, Sentiment Analysis etc. So, in brief a DS knows the fundamentals of all ML & DL techniques for basic problem solving whereas ML engineers are more focused towards specific problems.
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