Artifical Intelligence Course in Bangalore


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Artifical Intelligence Course in Bangalore

Artificial intelligence is helpful for all industrial revolutions across the globe. It has become the current market and is greatly contributing to changes. The human idea incorporated into AI machine learning Language has suggestions to view further for the experimentation. Nowadays AI has become highly recognized as computer science and is being widely used in all industries for business growth such as Medicine, Education sector, customer support Service, etc.

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Why should you take Artifical Intelligence Course in Bangalore?

Career Opportunities: AchieversIT offers comprehensive AI courses designed to prepare you for lucrative career opportunities in various industries.

Innovation and Problem-Solving: Our AI programs equip you with the knowledge and skills to develop innovative solutions to complex problems using cutting-edge technologies.

Understanding Cutting-Edge Technology: Through our curriculum, you'll gain insights into advanced AI technologies such as machine learning, natural language processing, computer vision, and robotics.

Artifical Intelligence Course in Bangalore Curricullam


Basic Concept
  • Train,Test & Validation Distribution
  • ML Strategy
  • Computation Graph
  • Evaluation Metric
  • Human Level Performance
Supervised
  • Linear Regression
  • Logistic Regression
  • Gradient Descent
  • Decision Tree
  • Random Forest
  • Bagging & Boosting
  • KNN
Unsupervised
  • K-Means
  • Hierarichal Clustering
Python
  • Basic Programming
  • NLP Libraries
  • OpenCV
Basic Statistics
  • Sampling & Sampling Statistics
  • Hypothesis Testing
Calculus
  • Derivatives
  • Optimization
Linear Algebra
  • Function
  • Scalar-Vector-Matrix
  • Vector Operation
Probability
  • Space
  • Probability
  • Distribution
Introduction
  • Intro
  • Deep Learning Importance [Strength & Limitation]
  • SP | MLP
Feed Forward & Backward Propagation
  • Neural Network Overview
  • Neural Network Representation
  • Activation Function
  • Loss Function
  • Importance of Non-linear Activation Function
  • Gradient Descent for Neural Network
Practical Aspect
  • Train, Test & Validation Set
  • Vanishing & Exploding Gradient
  • Dropout
  • Regularization
Optimization
  • Bias Correction
  • RMS Prop
  • Adam, Ada, AdaBoost
  • Learning Rate
  • Tuning
  • Softmax
CNN
  • Scikit Learn
  • NLTK
  • Spacy & Gensim
  • OpenCV
  • Tensorflow
  • Keras
Text Processing
  • Representation
  • Data Cleaning
  • Data Preprocessing
  • Similarity
Image Processing
  • Image
  • Image Transformation
  • Filters
  • Noise Removal
  • Correlation & Convolution
  • Edge Detection
  • Non Maximum Suppression & Hysteresis
  • Fourier Domain
  • Video Processing
Speech Data Analytics
Feature Extraction
  • What is Face Recognition
  • One Shot Learning
  • Siamese Network
  • Triplet Loss
  • Face Verification
  • Neural Style Transfer
  • Deep Conv Net Learning
Object Detection
  • Image Feature
  • Descriptors
  • Detection & Classification
CNN
  • Computer Vision
  • Padding
  • Convolution
  • Pooling
  • Why Convolution
Deep Convolution Model
  • Case Studies
  • Classic Networks
  • Inception
  • Open Source Implementation
  • Transfer Learning
Detection Algorithm
  • Object Localization
  • Landmark Detection
  • Object Detection
  • Bounding Box Prediction
  • Yolo
Face Recognition
  • What is Face Recognition
  • One Shot Learning
  • Siamese Network
  • Triplet Loss
  • Face Verification
  • Neural Style Transfer
  • Deep Conv Net Learning
Topics
  • Why Sequence Model
  • RNN Model
  • Backpropogation through time
  • Different Type of RNNs
  • GRU
  • LSTM
  • Biderectional LSTM
  • Deep RNN
  • Word Embedding
  • Debiasing
  • Negative Sampling
  • Elmo & Bert
  • Beam Search
  • Attention Model
Topics
  • Autoencoders & Decoders
  • Adversial Network
  • Active Learning
Topics
  • Q Learning
  • Exploration & Exploitation
Introduction to Machine Learning
  • Business Case evaluation
  • Data requirements and collection
  • Evaluation metrics
Machine Learning
  • Profit of 50_startups data prediction
  • Extra marital affair prediction
  • Fraud data analytics
  • Fabric sales analysis
  • Classification of animals data
  • Crime data analysis using clustering method and airlines data to obtain optimum number of clusters.
Python Programming
  • Resource Information Analysis
  • Text Cleaning of Customer reviews using NLP
  • Image Manipulation (Loading, Rotation etc.)
Mathematics Foundation
  • Sampling & Sampling Statistics
  • Hypothesis Testing
  • Calculus Problems
  • Linear Algebra Problems
  • Probability Problems
Intro to Neural Network & Deep Learning
Parameter & Hyperparameter
  • Risk Evaluation
  • Prediction of claim amount
  • Emotor temp prediction
  • User Behavioural Pattern
  • Probability Problems

(2 ANN assignments+ 2 Parameter and hyperparameters)

Data Processing
  • User review data load and familiarity with data and environment
  • E commerce Product Similarity
  • Sentiment classification of movie reviews
  • Emotion Mining of user reviews
  • Cleaning of hand-written digits data
  • Image data Augumentation
  • Facial feature detection
  • Video Analysis of a short film
  • Speech data Analysis w.r.t emotion
CNN
  • Ecommerce product image classification
  • Disease prediction based on images
(2 CNN algorithms)
  • Vehicle identification(Object Detection)
  • Animal Classification(Object Classification)
  • Spatial Image classification (Image segmentation)
  • Face detection
  • Face recognition (Attendance using facial recognition)
RNN
  • Next word prediction (Vanilla RNN)
  • Twitter data analysis using Named Entity Recognition(NER)
  • Retail data - Word2vec
  • NER and Forecasting of Oil price prediction
  • Auto text composer (NER language model)
  • Auto text composer (NER language model)
  • Q and A Chatbot
  • Real life voice Recognition
Generative
  • Machine Translation
  • New Image generation based on existing images
Reinforcement Learning
  • Game Intelligence

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Artifical Intelligence Course in Bangalore Description


This AI Certification Course is helpful for the skill development and improving knowledge & AI engineer course offers to become a successful AI Engineer. AI Course makes find a solution for complex problems, by creating deep learning, machine learning, computer vision.

In this Artificial Intelligence (AI) course, you will learn

  • Understand the basics of AI and how these technologies are re-defining the AI industry
  • Learn the major terminology used in AI space
  • Learn major applications of AI through a different case study

Artificial Intelligence (AI) is becoming more astute step by step in all business capacities to lift performances. AI is widely used in gaming, media, finance, advanced mechanics, quantum science, self-governing vehicles, and clinical diagnosis. Artificial intelligence innovation is a significant essential in a large part of the digital transformation occurring today as organizations position themselves to profit by the always developing measure of information being generated and collected.

AchieversIT familiarize you with the basic terminologies, problem-solving, and learning methods of Artificial Intelligence and also discuss the impact of AI

AchieversIT training on Artificial Intelligence (AI) gives you the basic knowledge of Artificial Intelligence:-

  • Management and Non-technical participants
  • Students who want to learn Artificial Intelligence
  • Professionals in the field of analytics, who wish to make a career switch to AI.
  • Junior/Senior Analysts and Team Leaders.

few prerequisites for pursuing the AI Engineer course are:-

  • Basic Knowledge of statistical tools and techniques
  • Basics of programming languages such as Python
  • Problem-solving skills.
  • Curious mind

Artifical Intelligence Course in Bangalore Certification

AcheiversIT Artifical Intelligence Course in Bangalore Certificate Holders work at 2000+ of companies.
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Artifical Intelligence Course in Bangalore Features


Class Room / Online Sessions

90-120 hrs of class room / online training with Live projects minimum 5 based on any of the selected use cases, involving the implementation of with Artifical Intelligence Course in Bangalore.

Real-Life Case Studies

200-250 hrs of practical sessions and tasks conducted by team experts that should helps aspirant to get placed into dream company under the field of Artifical Intelligence Course in Bangalore.

Assignments

Weekely assessments to ensure that every participant should get benefits otherwise our team conducts extra session to learn enrolled course - Artifical Intelligence Course in Bangalore.

Life Time Access

User is eligible to get course updates and we provide Artifical Intelligence Course in Bangalore is absolutely free life time if he/she wants to upskill.

24 x 7 Expert Support

Team of Experts always availbale to support better on their Artifical Intelligence Course in Bangalore real world problems.

Certification

Our certificate helps user to get good job with highest package in the field of Artifical Intelligence Course in Bangalore.

Artifical Intelligence Course in Bangalore FAQ's


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Locations

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BTM Layout - Bangalore

#63, 1st Floor, 16th Main, 8th Cross BTM 1st Stage, BTM Layout, Bengaluru, Karnataka 560029

Marathahalli - Bangalore

#1, 4th Main Rd, Extension, Ayyappa Layout, Chandra Layout, Marathahalli, Bengaluru, Karnataka 560037

Kukatpally - Hyderabad

#101,Vandana's Trade Center, Beside Padmavathi Plaza, Above Union Bank,Kukatpally,Hyderabad 500072

Mumbai - Maharasthra

Satra Plaza, Unit No. 1011, 10th Floor, Palm Beach, Rd Phase 2, Sector 14,19D, Vashi, Navi Mumbai, Maharashtra - 400703

Pune - Maharasthra

Times Square, S-699/1, Near Saibaba Mandir, Pune-Satara Road, Pune -411037.

Chennai - Tamilnadu

No 7, Dayasadan road, Opp Shell petrol pump, near Amma Unavagam, Nerkundrum, Chennai - 600 107

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