AI is any technique, code or algorithm that enables machines to develop, demonstrate and mimic human cognitive behavior or intelligence and hence the name “Artificial Intelligence”. Some of the most successful applications of AI around us can be seen in Robotics, Computer Vision, Virtual Reality, Speech Recognition, Automation, Gaming and so on… Artificial Intelligence is constantly pushing the boundaries of what machines are capable of. The Main purpose of training real time smart machine is to use their speed and capability. Most importantly machine can think and perform task like humans. After completing this course, student will be able to design and develop an advance AI System
Note: Please Bring Your own Laptop.
Vision & Introduction to AI
➢ Understanding of AI Market prospective.
➢ Future Aspects of AI.
➢ Real World AI design Constrains, Industrial automation and commercial building Automation in AI.
➢ Introduction to Functional Blocks of AI
➢ Wide description about Software and Hardware Concerns of AI
➢ Machine Learning and data interpretation
➢ Introduction to Data Science
➢ Memory Elements and Data Acquisition/Calling
➢ Programming Languages used in AI
➢ Software Installation
➢ Datatypes/Loops/Conditional Statements/Variables/Arrays and Functions
➢ Various Libraries and Their Uses
Practical: Development of Self own library for AI
API and Its Need in AI
➢ Introduction to various API.
➢ Working with API.AI
Server & NLP
➢ Introduction to Natural Language Processing (NLP)
➢ Machine Learning /System Train and Testing
➢ Online Entities and Their Responses
Project:- Development of Self Decision AI System.
• Neural Network and its Analysis
• Types of NN and Its architecture
• CNN and its deep implementation
• Real Use case on Deep Learning
➢ Project: - Image Recognizer Using CNN
➢ Digital Image Processing and OpenCV
➢ Practical: - Image Reading and its pixel Calculations.
➢ Transformation, edging, morphology and filters using OpenCv.
Project: - Implementation of face detection system
• Use of tensor flow in Deep Learning
• Live Demonstration of Tensor flow working
• Tensor flow and OpenCv
Project: - AI Model using Face Recognition.
Worldwide accessing and controlling of secure automation system by Selected Multiple Users.
➢ Acquaint yourself with practical knowledge.
➢ Workshop taken by Exceptionally Qualified and Professional Trainers actively involved in Research & Development.
➢ Learn your Area of Interest directly from Industry Experts.
➢ Scales up your CV/ Resume in Technical while boosting your Logical Abilities.
➢ Brings Confidence in you for Technical rounds of Interview.