Artificial Intelligence (AI) Deep Dive Training

Live Online & Classroom Enterprise Training

Deep learning is a subset of machine learning, which is essentially a neural network with three or more layers. These neural networks attempt to simulate the behaviour of the human brain—albeit far from matching its ability—allowing it to “learn” from large amounts of data.

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What is Artificial Intelligence (AI) Deep Dive Course about?

This course will provide you with a thorough grasp of the fundamental approaches for creating intelligent computer systems, as well as an awareness of how AI is applied to situations.

The history of AI, intelligent agents, state-space problem representations, uninformed and heuristic searches, game playing, logical agents, and constraint satisfaction issues will all be covered.

What are the objectives of Artificial Intelligence (AI) Deep Dive Course ?

Introduction to Artificial Intelligence and intelligent agents, history of Artificial Intelligence
Building intelligent agents (search, games, logic, constraint satisfaction problems)
Machine Learning algorithms
Applications of AI (Natural Language Processing, Robotics/Vision)
Solving real AI problems through programming with Python

Who is Artificial Intelligence (AI) Deep Dive Course for?

Candidates who are willing to learn AI in detail
IT professionals willing to upskill themselves in Data Science, ML, or AI
Freshers/ Beginners who are willing to make a career in Data Science, ML, or AI

What are the prerequisites for Artificial Intelligence (AI) Deep Dive Course?

Linear algebra (vectors, matrices, derivatives)
Calculus
Basic probability theory
Python Programming

Available Training Modes

Live Online Training

80 Hours

Self-Paced Training

80 Hours

Course Outline Expand All

Expand All

Module 1: Introduction to AI, history of AI, course logistics

Module 2: Intelligent agents, the uninformed search

Module 3: Heuristic search, A algorithm

Module 4: Adversarial search, games

Module 5: Constraint Satisfaction Problems

Module 6: Machine Learning: Basic concepts, linear models, perceptron, K nearest neighbours

Module 7: Machine Learning: advanced models, neural networks, SVMs, decision trees and unsupervised learning

Module 8: Markov decision processes and reinforcement learning

Module 9: Logical Agent, propositional logic and first-order logic

Module 10: AI applications (NLP)

Module 11: AI applications (Vision/Robotics)

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Who is the instructor for this training?

The trainer for this Artificial Intelligence (AI) Deep Dive Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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