The cutting-edge technology driving all industries in a new direction. It helps your company get ahead of the curve by using data to improve existing products or services. E-school cart expertise lies in building compelling products and services which enable automation. Our capabilities include,“Building Competency” within an organization, delivering in-house and corporate training across diverse areas of Artificial Intelligence such as Machine Learning, Deep Learning, Computer Vision, Natural Language Processing and Natural Language Generation, etc. The tools that we work with are Python, R, Scikit-Learn, Scipy, NumPy, Pandas, Tableau, ClickView, TensorFlow, Keras, Gensim, TextBlob, Spacy and many more. Any project execution should be supported by a standard process and we follow “Cross Industry Standard Process for Data Mining (CRISP-DM) methodology. It perfectly blends with the “Machine Learning Life cycle” making it a recipe for a great dish.
The concepts discussed have been intuited from a fundamental level to an advanced level with practical implementation at every stage of the course allowing every course participant to master the skills irrespective of the background they come from.
Applied AI/Machine Learning course has 150+hours of industry focused and extremely simplified content with no prerequisites covering Python, Maths, Data Analysis, Machine Learning and Deep Learning. 70+ hours of live sessions covering topics based on student feedback and industry requirements to prepare students better for real-world problem-solving. The validity of the course is 365 days.
The content includes applied aspects of artificial intelligence: 30 Practical assessments to reinforce learning along with clear, targeted and actionable feedback. 13+ end-to-end case studies based on real-world business problems across various industries that give students a taste of real-time experience.
Our team responds to most of the customer queries in less than 24 hours. Student queries are answered through our Innovative query resolution system via Audio/Video Responses.
Post 50% completion of the mandatory assignments involved, a dedicated Mentor will be allocated individually, helping the candidates with portfolio building, interview grooming sessions, and Mock interviews
Mentors help the candidates build a portfolio for the real-world projects they have worked on, which will be customized according to their current profile and will be shared with the companies. All the candidates are encouraged to write blogs on various platforms regarding their approaches to real-world problem statements which would escalate the chances of being hired.