Artificial Intelligence training in coimbatore

Artificial Intelligence AI Training in Coimbatore

Learn Best Artificial Intelligence Courses in Coimbatore. Qtree Technologies AI is getting even more attractive lately because of recent innovations that have made it. AI has been a career choice for a while now because of the growing adoption of the technology across industries and the industries need for trained professionals to do the jobs.Top AI researchers predict that AI will create close to 2.3 million jobs by 2020. Artificial Intelligence courses in Coimbatore offer many unique and viable career opportunities and it is used in almost every industry from entertainment to transportation. Yet there is a massive need for qualified, skilled professionals. Enroll today in Qtree technologies, Coimbatore.

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About Artificial Intelligence Training in Coimbatore

What is AI Learning?

    • Machine learning is a subset of AI. Sometimes when we are describing AI, we’re also describing machine learning.AI’s subset, machine learning, the algorithms use a set of training data to enable computers to learn to do something they are not even programmed to do. Machine learning provides us with technology to enlarge our human capabilities.

  • AI is rapidly evolving technology , one reason to get a career in AI provides so much potential. As technology evolves, learning improves.The three stages of AI and machine learning development as follow:
  • If you’re charmed by this career field and wondering how to get started, Qtree Technologies have the learning paths for three different types of professionals those
    • New to the field,
    • Programmers, and
    • Those already working in data science.
    AI should have excellent communication skills before addressing the math and computing skills needed. AI should have strong computer skills as well as programming skills like C++ and an understanding of the algorithms. Pupils should also supplement that education with general business knowledge. If you’re already good at programming, move into AI, you can go straight into the algorithms and start coding.
    Qtree Technologies, Coimbatore offers a learning path from basic to very advanced, with training that emphasizes the crucial hands-on learning needed.
  • The pace of development makes it hard to forecast the future, with the innovation we will see in the upcoming years, we do know we already have a shortage of trained AI and machine learning professionals. That gap will only grow and in the future we get people trained and placed in the millions of AI jobs.
    If you want to be one of those professionals, get certified, because the sooner you get your training started at Qtree Technologies, the sooner you will be working in this exciting and rapidly changing field. Enroll now!!!

    Before dipping your toes in AI, build up a base in these areas:
    • Computer Science: Coding expertise with popular programming languages such as Python, Java,etc.
    • Physics, engineering, and robotics
    • Mathematics: Algebra, calculus, logic and algorithms, probability, statistics
    • Bayesian networking (including neural nets)
    • Cognitive science theory
  • Introduction to Artificial Intelligence course in Coimbatore imparts the basic concepts and principles of Artificial Intelligence to the learners. This Artificial Intelligence Introduction course does not require programming or IT background making it well-suited for the following audience:
    • Well-suited for management and non-technical participants
    • Students who want to learn Artificial Intelligence
    • Newbies who are not familiar with AI or its implications
  • Anyone who is looking to make their career in the development of mobile-based applications, javascript technologies can join in making their career more worthy.

    There is no prerequisite for this Introduction to Artificial Intelligence course. It does not require programming or IT background, making it ideal for professionals in all walks of corporate life.


What Will I Learn?
  • Understand the basics of AI and Machine Learning and how these cutting-edge technologies are re-defining a slew of industries
  • Comprehend basic definition of key terminology used in AI space
  • Learn about major applications of AI across tons of use cases in various fields like customer service, financial services, healthcare etc
  • Master intricate points required to be taken into consideration by managers for good AI product development and pitfalls to avoid
  • Ability to build and deploy AI/ML and Deep Learning applications at your workplace
  • Learn from a seasoned industry professional
  • Reinforce learning by applying concepts in industry-relevant assignments and projects


Our Artificial Intelligence Trainers

  • More than 8 Years of experience in Artificial Intelligence Technologies
  • Has worked on multiple realtime Artificial Intelligence Projects
  • Expert level Subject Knowledge and fully up-to-date on real-world industry applications
  • Trained 1300+ Students so far
  • Strong Theoretical & Practical Knowledge
  • We have limited the batch size to enable students to have good interaction and understanding between our trainers and students
  • Full practical training – Separate machines to the students. 1-1 Trainer for the students
  • Trainers have Experienced on multiple real-time projects in their Industries
  • Interactive online training sessions allowing complete interactivity between the student and the trainer


GET FREE LIVE DEMO ON AI FROM INDUSTRY EXPERTS!

ClassRoom & Online Training

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Our Course Details

Artificial Intelligence Syllabus (Total Duration-80hrs)

Module 1: Introduction to Data Science (Duration-1hr)

  • What is Data Science?
  • What is Machine Learning?
  • What is Deep Learning?
  • What is AI?
  • Data Analytics & it’s types

Module 2: Introduction to Python (Duration-1hr)

  • What is Python?
  • Why Python?
  • Installing Python
  • Python IDEs
  • Jupyter Notebook Overview

Module 3: Python Basics (Duration-5hrs)

  • Python Basic Data types
  • Lists
  • Slicing
  • IF statements
  • Loops
  • Dictionaries
  • Tuples
  • Functions
  • Array
  • Selection by position & Labels

Module 4: Python Packages (Duration-2hrs)

  • Pandas
  • Numpy
  • Sci-kit Learn
  • Mat-plot library

Module 5: Importing Data (Duration-1hr)

  • Reading CSV files
  • Saving in Python data
  • Loading Python data objects
  • Writing data to csv file

Module 6: Manipulating Data (Duration-1hr)

  • Selecting rows/observations
  • Rounding Number
  • Selecting columns/fields
  • Merging data
  • Data aggregation
  • Data munging techniques

Module 7: Statistics Basics (Duration-11hrs)

  • Central Tendency
  • Mean
  • Median
  • Mode
  • Skewness
  • Normal Distribution
  • Probability Basics
  • What does mean by probability?
  • Types of Probability
  • ODDS Ratio?
  • Standard Deviation
  • Data deviation & distribution
  • Variance
  • Bias variance Trade off
  • Underfitting
  • Overfitting
  • Distance metrics
  • Euclidean Distance
  • Manhattan Distance
  • Outlier analysis
  • What is an Outlier?
  • Inter Quartile Range
  • Box & whisker plot
  • Upper Whisker
  • Lower Whisker
  • Scatter plot
  • Cook’s Distance
  • Missing Value treatment
  • What is a NA?
  • Central Imputation
  • KNN imputation
  • Dummification
  • Correlation
  • Pearson correlation
  • ositive & Negative correlation

Module 8: Error Metrics (Duration-3hrs)

  • Classification
  • Confusion Matrix
  • Precision
  • Recall
  • Specificity
  • F1 Score
  • Regression
  • MSE
  • RMSE
  • MAPE

Data Exchange – Course modules

  • Hyper Text Transfer Protocol (HTTP)
  • Detailed course contents:
  • Introduction to HTTP HTTP Parameters
  • HTTP Messages HTTP Request HTTP Response HTTP Methods
  • HTTP Status Code HTTP Header Fields Registration
  • HTTP Authentication
  • HTTP Caching
  • HTTP URL Encoding HTTP Securit

Module 9: Machine Learning

Supervised Learning (Duration-6hrs)

  • Linear Regression
  • Linear Equation
  • Slope
  • Intercept
  • R square value
  • Logistic regression
  • ODDS ratio
  • Probability of success
  • Probability of failure Bias Variance Tradeoff
  • ROC curve
  • Bias Variance Tradeoff

Unsupervised Learning (Duration-4hrs)

  • K-Means
  • K-Means ++
  • Hierarchical Clustering

SVM (Duration-2hrs)

  • Support Vectors
  • Hyperplanes
  • 2-D Case
  • Linear Hyperplane

SVM Kernal (Duration-2hrs)

  • Linear
  • Radial
  • polynomial

Other Machine Learning algorithms (Duration-10hrs)

  • K – Nearest Neighbour
  • Naïve Bayes Classifier
  • Decision Tree – CART
  • Decision Tree – C50
  • Random Forest

Module 10: ARTIFICIAL INTELLIGENCE

AI Introduction (Duration-9hrs)

  • Perceptron
  • Multi-Layer perceptron
  • Markov Decision Process
  • Logical Agent & First Order Logic
  • AL Applications

Module 11: Deep Learning Algorithms (Duration-10hrs)

  • CNN – Convolutional Neural Network
  • RNN – Recurrent Neural Network
  • ANN – Artificial Neural Network

Introduction to NLP (Duration-5hrs)

  • Syntactical Parsing
  • Dependency Grammar
  • Part of Speech Tagging
  • Entity Parsing
  • Named Entity Recognition
  • Topic Modelling
  • N-Grams
  • TF – IDF
  • Frequency / Density Features
  • Word Embedding’s

Tasks of NLP (Duration-2hrs)

  • Text Classification
  • Text Matching
  • Levenshtein Distance
  • Phonetic Matching
  • Flexible String Matching
Artificial intelligence is becoming increasingly relevant in the modern world where everything is driven by data and automation. It is used extensively in many fields such as image recognition, robotics, search engines, and self-driving cars. In this Artificial Intelligence training at Qtree Technologies Coimbatore, we will explore various real-world scenarios. We will start by talking about various realms of artificial intelligence. We’ll then move on to discuss more complex algorithms, such as Extremely Random Forests, Hidden Markov Models, Genetic Algorithms, Artificial Neural Networks, and Convolutional Neural Networks, and so on. This artificial intelligence course is for Python programmers looking to use artificial intelligence algorithms to create real-world applications. This artificial intelligence course is friendly to Python beginners, but familiarity with Python programming would certainly be helpful so you can play around with the code. It is also useful to experienced Python programmers who are looking to implement artificial intelligence techniques.
  • What is Artificial Intelligence?
  • Reinforcement Learning and Q-Learning Intuition
  • Self-Driving Car Concepts
  • Deep Q-Learning Intuition
  • Creating Environment
  • Deep Convolutional Q-Learning Intuition
  • AI Challenges and Conclusion

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Benefits of Artificial Intelligence Training in Coimbatore

  • Artificial intelligence fundamentals
  • Computational mathematics for learning and data analysis
  • Machine learning
  • Human language technologies
  • Parallel and distributed systems: paradigms and models
  • Intelligent Systems for pattern recognition
  • Algorithm engineering (KD)
  • Data mining (KD)
  • Mobile and cyber-physical systems (ICT)
  • Real-time Data Warehouse migration
  • Information retrieval (KD)
  • Social and ethical issues in computer technology
  • Computational neuroscience (ING)
  • Robotics
  • Semantic web



Qtree Technologies Scope of the AI Career Landscape :

AI is a sound career choice for a while now and as the adoption of AI verticals continues to grow, the demand for trained professionals and the jobs created by this growth is also skyrocketing. Even though many AI pundits have predicted that this will offer many unique and viable career opportunities. Therefore, if you are an AI enthusiast be optimistic and prepare for a great career in AI.



Job Roles In The Field Of AI :

Although we talk about AI as broad categories, the jobs available are more accurate. Some of the jobs described includes :

  • Machine Learning Engineer: It is considered to be one of the best careers jobs in the AI space and to be a machine learning engineer, one must be strong on software skills, have the knowledge on how to apply predictive models and utilize the natural language processing while working with large datasets.
  • Robotic Scientist: A Robotic scientist is someone with significant formal education and builds mechanical devices to perform various tasks whether it is about machines to go where humans can’t go or robotic hands for microscopic tasks. A robot might automate jobs, but it requires someone who can create robots. To be a robotic scientist, one should at least have a bachelor’s degree related to computer science or engineering.
  • Data Scientist: A data scientist is someone who collects, analyses and interprets data from different kinds of sources by using machine learning and predictive analytics to better understand how the business performs and builds AI tools. To be a data scientist, one should have the expertise in using Big Data platforms and tools including Hadoop, Pig, Hive, Spark, and MapReduce. Also, one should have a strong hand in programming languages including SQL Python,
  • Research Scientist: A research scientist, who is responsible for designing, undertaking and analysing data from controlled laboratory-based investigations, experiments and trials. To be a research scientist, one should have a strong knowledge of different AI disciplines.
  • Business Intelligence Developer: The demand for Business Intelligence developers have skyrocketed in recent years. Business Intelligence developers spend a lot of time researching and planning solutions for existing problems within the company. Whether it is about analysing complex data or looking for current business, a BI developer plays a vital role in increasing profitability and efficiency of the organisation.



Placements of Artificial Intelligence Courses at Qtree

  • 100% Guaranteed Career Support
  • Artificial Intelligence is that the most trending technology at once.
  • AI specialists will draw salaries within the vary of banging $300,000 to $500,000
  • there are unit on the point of 4000 open job positions in Republic of India presently,
  • Mock exams & Interviews to spice up your confidence
  • Getting into the profession of computer science doesn’t need any further degree or else skills
  • Projects: you're employed on business comes



FAQ

Many of the Student questions revolved around companies that are currently using AI and therefore hiring skilled AI professionals. The answer is, AI is being used in many types of applications across many different industries. The self-driving car is probably the best-known use of AI. Anticipating maintenance is another part of AI, showing when maintenance will be needed so it can be done automatically leading to lots of cost savings. AI is used in transportation, such as for train scheduling and to help Uber drivers navigate routes. Smart cities use AI to be more energy-efficient, reduce crime, and improve safety. The many applications of AI today are countless.
Many big brands such as

  • IBM,
  • Amazon,
  • Microsoft,
  • Accenture.
All apply machine learning on a large scale and drive innovation. In the future, many more industries will be using AI and machine learning, driving numerous growth in the job market.

Everyone knew about “Alexa”, Google Home an great example of Artificial Intelligence made headlines recently. This leads to the usual jokes about computers taking over the world, but that’s all about considering AI as a career field. Just the fact that nine out of ten people use AI services in one form every day proves that this is a viable career option. Here comes Qtree Technologies ,Coimbatore to enhance your talent in AI. Enroll TODAY!!!

This course is perfectly aligned to the current industry requirements and gives exposure to all the latest techniques and tools. The course curriculum is designed by specialists in this field and monitored improved by industry practitioners on a continual basis.

Other roles within the AI & Machine Learning space available

  • Sr. Analyst Data Science and Artificial Intelligence
  • Artificial Intelligence
  • Business Consulting Artificial Intelligence
  • Product Manager AI
  • Data Scientist

Companies like Accenture, Intel, Infosys, 24/7, Fidelity are looking for skilled AI & Machine Learning experts .



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