Name: Introduction To Artificial Intelligence Course Certification- Henry Harvin®️ in Agra | Henry Harvin
Uploaded: 2020-09-05 18:36:05
Description: Become a skilled AI Expert | Master the most demanding tech-dexterity | Accelerate your career with trending certification course | Develop skills in AI & ML technologies.

Module 1: Neural Networks
This module will equip the candidate with the knowledge of Nural Networks. Gain Comprehensive knowledge about the Activation Functions and feedforward neural network. Learn about backpropagation and gradient descent. Know about the full connected layer forward and backward pass. Get acquainted with Data Preprocessing, Data Augmentation, weight initialization, working with google collab, and more
- Introduction to Neural Networks and Deep Learning
- Activation Functions
- Feedforward Neural Network
- Backpropagation and Gradient Descent
- Learning Rate Setting and Tuning
- Introduction to Keras
- Fully Connected Layer-Forward and Backward Pass
- Softmax and Cross-Entropy Loss
- Introduction to babysitting the learning Process12
- Data Preprocessing
- Data Augmentation
- Weight Initialization
- Regularization-Batch Normalization
- Regularization-Dropout
- Working with Google collab
- Quiz Module 1
Module 2: Computer Vision
This module will help the candidate to gain knowledge of Computer Vision. Learn to work with images. Gain knowledge about Convolutions 2D for images. Know about the CNN architectures. Get acquainted with the knowledge of Semantic segmentation using UNet, and more
- Working with Images
- Introduction to convolutions2D convolutions for Images
- Convolution-Forward and Backward
- Transposed Convolution and Fully Connected Layer as a Convolution
- Pooling: Max Pooling and other Poolings
- CNN Architectures
- ALexNet, LeNet,ZFNet,VGGNet, GoogleNet, ResNet
- GPU Vs CPU
- Transfer Learning
- Semantic Segmentation using UNet
- Inception and Mobile Net Models
- Object Detection with region proposals, YOLO and SSD
- Bounding Box Regressor
- Siamese Network for Metric Learning
- Quiz Module 2
Module 3: Natural Language Processing
This module will equip the candidate with the knowledge of Natural Language Processing. Learn the Preprocessing in NLP-Tokenization, Lemmatization, Stemming, Normalisation, Stop words, BOW, TF-IDF. Know about Word embedding, POS Tagging, LSTM application, Encoder-Decoder attention, and more
- Introduction to NLP
- Preprocessing in NLP-Tokenization, Lemmatization, Stemming, Normalisation, Stop words, BOW, TF-IDF
- N-gram models and channel models
- Word Embedding
- Dense Encoding
- Word-2-Vec Vectors and Glove Vectors
- POS Tagging
- Named Entity recognition
- Sequential models
- Introduction to RNN, LSTM
- LSTM Forward Pass
- LSTM Backprop through time
- Applications of LSTM
- Advanced LSTM Structures
- Encoder-Decoder Attention
- Quiz Module 3
Module 4: Complimentary Module 1: Soft Skills Development
- Business Communication
- Preparation for the Interview
- Presentation Skills
Module 5: Complimentary Module 2: Resume Writing
- Resume Writing

Artificial Intelligence Course in Agra

27 Jan 2025

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About The Artificial Intelligence Course

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Key Highlights

32 Hours of Instructor-Led Sessions

11 Hours of Live Interactive Doubt Solving Sessions

6 Hours of Live Master Sessions by Industry Experts

192 Hours of Self-Paced Learning

192 Hours Hands on with Cloud Labs

Job-Ready Portfolio of 3 Capstone Projects

47 Auto-Graded Assessments

6+ Industry Case Studies

48 Guided Hands-On Exercises

3+ Assignments and Mini Projects

1 Mock Interview and 1 Hackathon

Get 1-Year Gold Membership of Henry Harvin® School of AI & Machine Learning

Get a guaranteed Internship with Henry Harvin® and in top MNCs like J.P. Morgan, Accenture & many more via Forage

Get 3 in 1 Placement support through Placement Drives, Premium access to Job portal & Personalized Job Consulting

2 Hours of Mentorship by Industry Experts

Earn Certification of Course from Henry Harvin®, Govt of India recognized & Award-Winning Institute and NSDC Certification

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Agota™ Framework

Curriculum For Artificial Intelligence Course in Agra

Module 1: Neural Networks

Module 2: Computer Vision

Module 3: Natural Language Processing

Module 4: Complimentary Module 1: Soft Skills Development

Module 5: Complimentary Module 2: Resume Writing

Admission Closes On 27 Jan 2025

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What you'll Learn in this course

Evolution of Artificial Intelligence

Machine Learning Algorithms

Data Modeling & Analysis

Convolutional Neural Networks

Models and Techniques Used in NLP

Tokenization and NLP Pipeline

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