AI & Machine Learning

  • Instructor: Prasanna
  • Lectures: 12
  • Quizzes: 4
  • Students: 6
  • Duration: 4 weeks

AppsTek’s Data Science courses will introduce complete life cycle concepts such as planning, cleaning data, data analysis, modelling and finally deployment, maintenance and optimization. Mining of massive datasets, Predictive Model Building, Data Visualization will create ambient environment leading to measurable learning for the student.

Data Science is a field that combines mathematics, statistics, core programming, numerical scientific computations, visualization and applies scientific methods to business domains or problems like predicting future customer behaviour, sentiment analysis or recognize speech patterns.

AppsTek has studied market conditions as well as the quality of the training offered by several – both in a formal and unorganized way.


AI & ML Expert
15 years of experience Designing Enterprise Grade Applications for Financial Institutions. Certified Machine Learning Engineer. Architect for Enterprise Cloud migration initiative for a Fortune 500 company. Exposure to full stack development using Microsoft .Net technologies. Extensive experience designing applications using FE technologies (React, HTML5, CSS), middleware API's based on REST/SOAP & Database technologies such as SQL/MSBI Tools. Passionate about designing solutions to business problems by leveraging cutting edge paradigms/technologies available in the market.

Suneel Kumar
Big Data Expert
Suneel Kumar is an experienced Big data solution architect and has 13 + years of experience in Information Technology including more than 8years in Hadoop. He has been involved in planning, Analysis, Design, Development, Maintenance and Documentation for various functionalities of Data Warehouses and Data Marts as well Bigdata. Excels at identifying and implementing cost-effective solutions. Lifelong learner, taking pride in staying at the cutting edge of technical know-how on cloud stack.

Prof. Rajanikanth
IoT & Data Science Expert
Rajanikanth is an experienced IoT solution architect and core programmer has 20+ years of experience in Embedded System, Data Analysis and Teaching. He has been involved in Architecture, Design, Development, Testing and Documenting for various functionalities of RTOS, IETF and ITU-T Protocols and device drivers. Turn around start up specialist capable of quickly adapting to changing requirements. particularly strong relationship management, team building, and general business acumen; verifiable track record of success driving unprecedented revenue and profitability gains within highly competitive organizations, industries, and markets.




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