Call Now

Enquiry Form





Artificial Intelligence(AI) and Deep Learning Training course in Delhi and Dehradunn

Artificial Intelligence(AI) and Deep Learning



Artificial Intelligence (AI) relates to incorporating human intelligence into machines based on algorithms. It is the driving force behind advancing technologies and encompasses machine learning, where machines are programmed to learn by experience. Deep learning, a subset of machine learning is driving all innovations in AI. Deep learning involves repeated execution of algorithms for a task, and every time tweaks it for improved performances.
Best Project based Internship Training course on Artificial Intelligence(AI) and Deep Learning Training in Delhi and Dehradun,Uttarakhand .

Course Highlights

  • Instructor-led Classroom and Online
  • Training modes
  • Best-in-Class Training Curriculum
  • Beginner to Expert Level Training
  • Hands-on Programming Practice
  • Pro-Python Tips & Tricks Practice Activities
  • Unlimited Access - Online or Offline Flexible Guaranteed to Run Schedules
  • Self-Paced Learning

Pre-Requisite

The course does not have any official pre-defined pre-requisite to taking the course. Anyone who has an interest in understanding the AI and deep learning technologies can take the course. However, prior knowledge and experience of python programming can prove beneficial in having a cutting-edge.

Course Content

  • Introduction to Artificial Intelligence (AI)
  • Deep Learning in Python
  • Overview of Tensor Flow
  • Neural Networks Using Tensor Flow
  • Deep Learning Networks
  • Convolutional Neural Networks (CNN)
  • Recurrent Neural Networks (RNN)
  • Restricted Boltzmann Machine (RBM)
  • Deep Learning with Tflearn
  • Deep Learning with Keras
  • Key Applications of Deep Learning in Ai
  • Final Projects- Consolidate the
  • Learning & Implement Them in Python.

Course Description

Artificial Intelligence (AI) relates to incorporating human intelligence into machines based on algorithms. It is the driving force behind advancing technologies and encompasses machine learning, where machines are programmed to learn by experience. Deep learning, a subset of machine learning is driving all innovations in AI. Deep learning involves repeated execution of algorithms for a task, and every time tweaks it for improved performances. Being the most sought-after skills, AI and Deep Learning training courses help you build and apply convolutional neural networks for image generation and classification, deploy models, predict time-series and much more

Brillica Services is a prominent provider of comprehensive Artificial Intelligence and Deep Learning certification training course that empowers you with in-depth knowledge on neural networks, logistic regression, vectorization and provide hands-on experience on real-world applications of deep learning. Become an expert in neural networks with our AI and Deep learning training course at Brillica Services. Specifically crafted for AI beginners and experienced professionals, we offer a range of customized training in different learning modes, to best-fit your schedules and conveniences. Brillica Services Provides best Artificial Intelligence Courses in Dehradun & Delhi. Best Artificial Intelligence (AI) Training Institute in Dehradun & Delhi with Placement assistance

Course Objectives

Artificial Intelligence(AI) and Deep Learning Training Course at Brillica Services Delhi and Dehradun,Uttarakhand Helps You to :

Artificial Intelligence and its underlying essentials

Deep Learning techniques and fundamentals

Understanding an Artificial Neural Network

How to train a neural network with training data

Convolutional neural networks and its applications

The supervised and unsupervised learning methodology

Machine learning with Python language

TensorFlow and Tensor Processing Unit

Application of DL in image recognition, NLP and more

Real-world projects in recommender systems and others

AI and Deep Learning Training Schedule and Duration

Course Name Duration
AI and Deep Learning 2 Month

Upcoming Training Schedule

Month Weekdays Weekends Mode
October-2021 11/10/21 and 25/10/21
2 hours(Monday-Thursday) per day
16/10/21 and 17/10/21
3 hours(Saturday-Sunday) per day
Online/Offline
November-2021 15/11/21 and 30/11/21
2 hours(Monday-Thursday) per day
20/11/21 and 21/11/21
3 hours(Saturday-Sunday) per day
December-2021 13/12/21 and 27/12/21
2 hours(Monday-Thursday) per day
18/12/21 and 19/12/21
3 hours(Saturday-Sunday) per day
January-2022 03/01/22 and 24/01/22
2 hours(Monday-Thursday) per day
15/01/22 and 16/01/22
3 hours(Saturday-Sunday) per day
Feburary-2022 07/02/22 and 14/02/22
2 hours(Monday-Thursday) per day
19/02/22 and 20/02/22
3 hours(Saturday-Sunday) per day

FAQs Artificial Intelligence(AI) and Deep Learning Training Course

Ans. AI means getting a computer to mimic human behavior in some way. Deep learning, meanwhile, is a subset of machine learning that enables computers to solve more complex problems.

Ans. Deep learning is an artificial intelligence (AI) function that imitates the workings of the human brain in processing data and creating patterns for use in decision making. Also known as deep neural learning or deep neural network

Ans. Machine learning automates analytical model building. Deep learning uses huge neural networks with many layers of processing units, taking advantage of advances in computing power and improved training techniques to learn complex patterns in large amounts of data.

Ans. Underscore fairness, transparency and explainability, human-centeredness, and privacy and security

Ans. John McCarthy, an American computer scientist pioneer, and inventor was known as the father of Artificial Intelligence (AI) after playing a seminal role in defining the field devoted to the development of intelligent machines.

Ans. There are 3 types of artificial intelligence (AI): narrow or weak AI, general or strong AI, and artificial superintelligence.

Ans. Artificial intelligence refers to the simulation of human intelligence in machines. The goals of artificial intelligence include learning, reasoning, and perception.

Ans. Start with something simple and make changes incrementally. Model optimizations like regularization can always wait after the code is debugged. Visualize your predictions and model metrics frequently. Make something work first so you have a baseline to fall back.

Ans. 1. Convolutional Neural Networks (CNNs)
2. Long Short Term Memory Networks (LSTMs)
3. Recurrent Neural Networks (RNNs)
4. Generative Adversarial Networks (GANs)
5. Radial Basis Function Networks (RBFNs)
6. Multilayer Perceptrons (MLPs)
7. Organizing Maps (SOMs)

Ans. Currently, AI is Used in the Following Fields: Retail, Shopping, and Fashion, Security and Surveillance, Sports Analytics and Activities, Manufacturing and Production.


Privacy Policy | Terms and Conditions | Refund-Policy | Feedback Form | Request Certificate

© All rights reserved 2019-20 Website Designed and Developed by Brillica Services.