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@berserk

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@berserk

17 Hours ago

Aenean vulputate eleifend tellus. Aenean leo ligula, porttitor eu, consequat vitae, eleifend ac, enim. Aliquam lorem ante, dapibus in, viverra

alt
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@berserk

17 Hours ago

Aenean vulputate eleifend tellus. Aenean leo ligula, porttitor eu, consequat vitae, eleifend ac, enim. Aliquam lorem ante, dapibus in, viverra

Podcast
Career PPT
Videos

ARTIFICIAL INTELLIGENCE

  • INTRODUCTION
  • COLLEGES IN INDIA
  • COLLEGES IN ABROAD
  • SKILL SET
  • ELIGIBILITY
  • SPECIALISATION
  • ROLES AND RESPONSIBILITIES

Artificial IntelligenceĀ has turned from a niche technology/computational area into a mainstreamĀ computer scienceĀ engineering toolkit. It has generated chaos in Silicon Valley and big IT giants like Google, Facebook, LinkedIn and many others are heavily investing for Careers in Artificial Intelligence.

Artificial Intelligence goes with a tagline ā€œThe Future is Automationā€ and the newbies are also starting up with these technologies as the market is very new for enterprise-level stuff. Ā It is expected that Careers inĀ Artificial Intelligence will be at the heart of new IT developments in areas like automation, DevOps platforms, the Internet Chat bot, and robotics. Careers inĀ Artificial Intelligence is a Ā fast-paced and challenging field that is making visible inroads into our everyday life.

How to become a AI expert

  • Foundation Programs in Machine Learning and AI
  • MTech in computer science and specialisation in artificial Intelligence
  • MTech in Artificial Intelligence
  • PG Diploma in Machine Learning and AI
  • Short Term Certifications in AI
Colleges Location
IIT Hyderabad
IIT Delhi
Chandigarh University Chandigarh
University Of Hyderabad Hyderabad
SRM University Sonipat
IIT Jodhpur
Gautam Buddha University Greater Noida
IISC Bangalore
IIT Ā Bombay
IIT Guwahati
IIT Kanpur
IIT Madras
IIT Roorkee
IIT Kharagpur
Osmania University Hyderabad
SRM Institute of Science and Technology Kancheepuram
The Birla Institute of Technology and Science (BITS) Pilani
ISI Kolkata
PSG College of Technology Coimbatore
International Institute of Information Technology Hyderabad
Jain University Bangalore
College Location
Ā Massachusetts Institute of Technology USA
Carnegie Mellon University USA
Ā Stanford University USA
University of California Berkeley, USA
Ā Nanyang Technological University
Singapore
Harvard University
USA
University of Edinburgh
UK
  • Well versed with variousĀ  Programming languages
  • Interpersonal Communication Skills
  • Problem solving Skills
  • Industry knowledge
  • Management and Leadership Skills
  • Team work
  • Creative Thinking
  • Solid Knowledge of Mathematical and Algorithms
  • Distributed Computing Efficiency
  • Good Command over UNIX Tools
  • Knowledge of advanced signal processing techniques
  • Matriculation with minimum 60% marks and Sr. Secondary (10+2) 70% marks (Aggregate) & minimum 60% marks in PCM Computer Science/PCB
  • Machine Learning Engineer expert
  • Natural Language processing-NLP and Speech Recognition
  • Al Expert-Deep Learning
  • Al Expert-Cognitive Computing
  • Al Expert-Avionics Al
  • AL Expert-Predictive APIs
  • Visual Computing and Image Recognition/Computer vision
  • Robotics, Gesture and motion control
  • Recognition of speech and communicating, answering questions, giving insights, reacting to human emotions etc.
  • Search for information and convey the search results, analyze information to recommend possible decision options and also recommend the best possible course of action in a given situation.
  • Research on AI Topics and build prototype on identified areas
  • Design experiments for testing hypotheses for AI Technology or solution development
  • Develop machine learning model.
  • Develop deep learning architecture and algorithm, neutral engineering architecture and algorithm, natural language processing algorithm and algorithm using other AI Technologies.
  • Write codes (Computer programs) to build AI Systems.
  • Research, develop and optimize AI applications.
  • Perform research to advance the science and technology of intelligent machines.
  • Apply knowledge of relevant research domains along with expert coding skills to platform and framework development projects.
  • Design machine learning systems.
  • Select appropriate data sets and data representation methods.
  • Run machines learning tests and equipmentā€™s.
  • Perform statistical analysis and fine ā€“tuning using test results.
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