Build Intelligent Future.
Predictive search is becoming better, Autonomous cars are becoming reality along with that the quantum of data that needs to be processed and required independency of algorithm is increasing. At present the industry is buildings products. The necessity for self learning algorithm has never been so high, In the past 2 years machine learning engineer job posting increased 344% ,making it sought after field to be in the world looking to recruit for positions like Machine Learning Engineer, Machine Learning Analyst, NLP Data Scientist, Data Sciences Lead, and Machine Learning Scientist
According to Gartner around 2.3 million A.I jobs will be created by the end of 2020 and the AI market is estimated to reach $183 billions and expected to grow.
What is Artificial Intelligence?
Artificial Intelligence unlike the exaggerated robots in movies is the science of programming to mimics human cognition. AI is a science and engineering of making intelligent machines and as a system offer the ability to correctly interpret external data, to learn from data, and to use those learnings to achieve specific goals and tasks through flexible adaptation of a written algorithm. The overall objective may looks like to mimic the human brain however AI is not limited to the methods that are biologically observable but to understand the human intelligence to perform tasks at great speed and efficiency.
AI is not a new subject. It started with Alan Turing’s article Computing Machinery and Intelligence where he proposed that machines could pretend to be human and observed to be intelligent. He has created a test to identify whether a machine is intelligent. Even though there is a long way to go before machines catch up human intelligence however this field is growing leaps and bounds offering enormous opportunities, as there is no career in the world that is not touched by the advantages of AI.
Explore AI to tap into unprecedented opportunities and potential to give superhuman capabilities to business and power to solve problems.
- Design and build Artificial Intelligence projects, including machine learning models, logic constraint satisfaction problems, knowledge-based systems, probabilistic models, and agent decision-making functions.
- Learn how to write your own Python scripts and Perform high-level mathematical and technical computing using the NumPy and SciPy packages and data analysis with the Pandas package
- Learn concepts of supervised and unsupervised learning models
- Master advanced topics in AI such as CNN, RNN & training deep networks
HOW WOULD YOU BENEFIT?
- Knowledge-Skill Pedagogy
- Project Based Approach
- Industry Driven Courses
- Real-Time projects
- Experience with the Exposure
- Interview Preparation
- Internships and projects
- Scholarship Assessments
This course is designed by industrial professionals and academicians which enable you to understand how to add intelligence to machines for better productivity & reliability. In this course stress has been given to develop a thought process to solve problems using artificial intelligence. All our courses are coupled with real time projects for effective knowledge transfer. Post completion, you would be able to write and apply artificial intelligence algorithms , code algorithms, and define solutions independently. Our preparatory modules would bring you up to the speed, irrespective of your background supporting your path towards Deep Learning .You would be offered a chance to secure an internship with relevant industries and participate in our hackathons.
SKILLS YOU WOULD ACQUIRE
CERTIFICATION AND OPPORTUNITIES
Industry valued certification post-completion of all the course modules. Improve your profile with certification and project experience that adds value to your credentials. Join the group of other professionals and network to give your career a boost.
- Industry-ready certification
- Add to your profile
- Access to Alumni network
- Be part of the AI Workgroup
- Share over your social media