Artificial Intelligence (AI) course will make you expert in building most powerful AI algorithms with Deep Learning from Industry Experts. This Artificial Intelligence Course is designed to Improve Machine Learning, Deep Learning, TensorFlow, Data Science, Artificial Neural Networks, Keras, Recurrent Neural Networks (RNN) Skills with 10+ Real-time Projects. Learn how to build and Implement AI models for your Business Solutions with Hands-on Classes offered by AI Certified Experts. Enroll for AI Course to become a Certified AI & Machine Learning Engineer.

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Artificial Intelligence (AI) course Overview

This Comprehensive AI Training Course will make you expertise in Solving Complex Problems with AI Implementations using Reinforcement Learning, Computer Vision, OpenCV and Chatbot. The dynamic Course which creates a firm foundation for AI & ML with a wide range of Industry Projects delivered by experienced trainers. Learn how to Create AI Programs from the Basic to Advanced level for Data Analysis, Image recognition, language translation and Making Predictions with our AI Training Courses.

You will gain Practical Knowledge on Python Libraries Numpy & Pandas for ML & Data Science to become Data Scientist or Machine learning engineer with Lab Practice. Register for AI training with Yuva Sakthi Academy to boost your Career.

Training Options

We are Offering Artificial Intelligence (AI) Training with Live Instructor Led & Self-Paced Video Options on your Flexible Timing.  You will get Recorded Sessions on each day Classes with High Quality. This AI Courses will be available on both weekend and weekdays according to the Students Convenient timings. Learn AI & Machine Learning from your Home with World Class Trainers.

In this course, you will be learning about Artificial Intelligence. Important of Artificial Intelligence and various important techniques use cases. Tools required and programming language required to learn AI. The course is designed in various steps from very basic to advanced. You need to have advanced knowledge of programming, but basic knowledge is important to understand.

Artificial Intelligence is the most popular and hot topic of discussion in the IT sector. AI is the field having most jobs and most of the seats are empty in the organization. In this course, we will be studying about AI in detail. The Artificial Intelligence course allows you to learn this technology from your home. or any remote location. This course will is prepared by industry experts with depth knowledge, covering all the important topics with practical examples. This course will let you gain knowledge in the AI field and different branch of AI.

About AI Course

Covering various important topics like Deep Learning, Neural Network, Machine Learning, etc. Our trainers are industry experts they will available to solve your problems and help you to complete your assessments and projects. Our Artificial Intelligence course will give you various opportunities in the IT Sectors.

What are the objectives of our Artificial Intelligence Training?

The essential objectives of AI incorporate conclusion and thinking, information portrayal, plannin0067, natural language handling (NLP), learning, discernment, and the capacity to control and move objects. The long haul objectives of AI research incorporate accomplishing Creativity, Social Intelligence, and General (human level) Intelligence.

AI has intensely affected various areas that we may not perceive. John McCarthy, one of the organizers of AI, once said that “when it works, nobody calls it AI any longer.”

  • You will be having an understanding of AI, its AI applications use cases and how it impacts our daily
  • Understanding of its various branches like Machine learning, Deep learning, Neural network, Natural Language Processing, etc
  • Covering various tools like Apache Spark, IBM Watson, Keras, TensorFlow,
  • Daily use cases and how it simplifies our
  • Covering various algorithms and how they can be used to reduce human

Why should you go to the Artificial Intelligence program?

  • AI is transforming our day to day life, making our device smarter and giving them their decision-making
  • AI is very widely used nowadays in Automobile Industries like self-driving cars developed by
  • It is very useful when we need recommendations based on our activity like Netflix, showing movies recommendation based on our
  • AI is used by security agencies for identifying uncommon activities on streets, facial recognition on Airports for detecting
  • Nowadays mobile companies are using them into their camera and face

Who Should go for the Artificial Intelligence Training

  • College Students who want to move their career into this Artificial
  • Experienced Professional who likes to learn Artificial Intelligence to fast forward their
  • Data Analytics who are already dealing with data will be added
  • Full-time developers with good coding skills and good

Information Architects who want to become experts in Artificial Intelligence.

How will Artificial Intelligence Training Help your career?

  • There are top industries in the market who are advancing their business with AI
  • According to the New York Times reports, there is a shortage of AI
  • Average Salary for AI engineers is $120 – $140K.
  • Artificial Intelligence market is growing at the rate CAGR of 53%.
  • Several AI engineers in markets are very less as compared to open jobs in Artificial

What are the prerequisites for Artificial Intelligence Training?

  • Basic knowledge of computer and terminology
  • Bachelor degree in Computer Science
  • Good in mathematics like algebra, calculus,
  • Knowledge of Python Programming language is
  • Knowledge of Theory of Computations or Cognitive

What skills will you learn in Artificial Intelligence training

You will be learning various languages, packages, various models. You will be learning machine learning models, NumPy & SciPy packages, Logistics regressions, Clustering, Data Analytics using Apache Spark, recommendation engine. Neural Networks, Deep learning and various tools like IBM Watson, Keras, Pandas, Scala, SciPy, NumPy, Apache Spark, TensorFlow, R, and Python.

Do you need programming skills for Artificial Intelligence Career

Yes, you need to have a basic understanding of Python and its libraries and programming languages like Java, C++ will give additional benefits.

Introduction to Artificial Intelligence

Artificial Intelligence is probably the most smoking subject in the globe at this moment. There is a mind-boggling measure of data accessible on the theme. However, how would you find significant data that truly matters to you? Along these lines, here we are giving you an entire pack of data about the most requesting field “Artificial Intelligence “.

Are you a big fan of Iron man or are you thinking about terminator or Lucy? Conscious, mindful robots are nearer to turning into a reality than you might suspect. Creating PC frameworks that equivalent or surpass human insight is the core of man-made brainpower. Artificial Intelligence (AI) is the investigation of software engineering concentrating on creating programming or machines that display human knowledge. A straightforward and enough definition, correct?

Clearly, there is significantly more to it. Artificial Intelligence is an expansive theme running from straightforward number crunchers to self-directing innovation to something that may fundamentally change what’s to come.

Types of Artificial Intelligence

Next comes what number of sorts of AI’s are there. While there are different types of AI as it’s a wide idea, we can partition it into the accompanying three classes dependent on AI’s capacities:

Weak AI

This is likewise alluded to as Narrow AI, which spotlights on one undertaking. There is no mindfulness or certifiable knowledge on account of a feeble AI.

iOS Siri is a genuine case of a frail AI joining a few feeble AI methods to work. It can accomplish plenty of things for the client, and you’ll perceive how “tight” it precisely is the point at which you have a go at having discussions with the remote helper.

Strong AI

This is additionally alluded to as True AI, which is a PC that is as keen as the human cerebrum. This kind of AI will have the option to play out every one of the assignments that a human could do. There is a great deal of research going on in this field, however, regardless we have a lot to do. You ought to envision Matrix or me, Robot here.

Artificial Super-intelligence

It will take your breath away if Strong AI dazzled you. Scratch Bostrom, the driving AI scholar, characterizes it as “a mind that is a lot more brilliant than the best human cerebrums in for all intents and purposes each field, including logical imagination, general insight, and social abilities.”

Artificial Super-intelligence is the motivation behind why numerous unmistakable researchers and technologists, including Stephen Hawking and Elon Musk, have raised worries about the plausibility of human annihilation.

The significant inquiry which emerges here is how, to begin with, Artificial Intelligence. Thus, the appropriate response here is to begin learning a programming language. In spite of the fact that there is a lot of dialects that you can begin with, Python is the thing that many want to begin with in light of the fact that its libraries are more qualified for Machine Learning.

Along these, taking everything into account, start learning and adding to the field of Artificial Intelligence, that is quickly changing the world.

Upcoming Training Batches

Yuva Sakthi Academy provides flexible timings to all our students. Here is the AI Training Course Schedule in our branches. If this schedule doesn’t match please let us know. We will try to arrange appropriate timings based on your flexible timings.

Time Days Batch Type Duration (Per Session)
8:00AM - 12:00PM Mon - Sat Weekdays Batch 4Hr - 5:30Hrs
12:00PM - 5:00PM Mon - Sat Weekdays Batch 4Hr - 5:30Hrs
5:00PM - 9:00PM Mon - Sat Weekdays Batch 4Hr - 5:30Hrs

Artificial Intelligence Course Syllabus

  • Introduction
  • Sample or population data?
  • The fundamentals of descriptive statistics
  • Measures of central tendency, asymmetry, and variability
  • Practical example: descriptive statistics
  • Distributions
  • Estimators and estimates
  • Confidence intervals: advanced topics
  • Practical example: inferential statistics
  • Hypothesis testing: Introduction
  • Hypothesis testing: Let’s start testing!
  • Practical example: hypothesis testing
  • The fundamentals of regression analysis
  • Subtleties of regression analysis
  • Assumptions for linear regression analysis
  • Dealing with categorical data
  • Practical example: regression analysis

Python for Data Science

  • Python Basics
  • Python Data Structures
  • Python Programming Fundamentals
  • Working with Data in Python
  • Working with NumPy arrays
  • Data Science Overview
  • Data Analytics Overview
  • Statistical Analysis and Business Applications
  • Python Environment Setup and Essentials
  • Mathematical Computing with Python (NumPy)
  • Scientific computing with Python (Scipy)
  • Data Manipulation with Pandas
  • Machine Learning with Scikit–Learn
  • Natural Language Processing with Scikit Learn
  • Data Visualization in Python using matplotlib
  • Web Scraping with BeautifulSoup
  • Python integration with Hadoop MapReduce and Spark

Machine Learning

  • Introduction to Artificial Intelligence and Machine Learning
  • Data Preprocessing
  • Supervised Learning
  • Feature Engineering
  • upervised Learning-Classification
  • Unsupervised learning
  • Time Series Modelling
  • Ensemble Learning
  • Recommender Systems
  • Text Mining

Course Introduction

  • Prerequisites for the course
  • RBM and DBNs
  • Variational AutoEncoder
  • Working with Deep Generative Models
  • Applications: Neural Style Transfer and Object Detection
  • Distributed & Parallel Computing for Deep Learning Models
  • Reinforcement Learning
  • Deploying Deep Learning Models and Beyond

Natural Language Processing

  • IIntroduction to Natural Language Processing
  • Feature Engineering on Text Data
  • Natural Language Understanding Techniques
  • Natural Language Generation
  • Natural Language Processing Libraries
  • Natural Language Processing with Machine Learning and Deep Learning
  • Speech Recognition Technique
  • Artificial Intelligence Capstone Project

Trainer Profile of Artificial Intelligence Course

Our Trainers provide complete freedom to the students, to explore the subject and learn based on real-time examples. Our trainers help the candidates in completing their projects and even prepare them for interview questions and answers. Candidates are free to ask any questions at any time.

  • Trained more than 2000+ students in a year.
  • Strong Theoretical & Practical Knowledge.
  • Certified Professionals with High Grade.
  • Expert level Subject Knowledge and fully up-to-date on real-world industry applications.
  • Trainers have Experienced on multiple real-time projects in their Industries.
  • Our Trainers are working in multinational companies such as CTS, TCS, HCL Technologies, ZOHO, Birlasoft, IBM, Microsoft, HP, Scope, Philips Technologies etc

Artificial Intelligence Exams

Yuva Sakthi Academy is Accredited by all major Global Companies around the world. We provide after completion of the theoretical and practical sessions to fresher’s as well as corporate trainees.

Our at Yuva Sakthi Academy is accredited worldwide. It increases the value of your resume and you can attain leading job posts with the help of this in leading MNC’s of the world. The is only provided after successful completion of our training and practical based projects.

Key Features of Our Training Institute


One on One Teaching


Flexible Timing


Fully Practical Oriented Classes


Class Room Training


Online Training


Corporate Training


100 % Placement

Projects in Artificial Intelligence Course

Sales Pipeline Dashboard

Build a dashboard to get a clearer view of your sales pipeline and know where your leads are coming from, so that you can double down on your efforts there to meet your targets.

Sales Growth Dashboard

Build a dashboard to measure your sales team’s performance and how much revenue can be raised within a specific time frame.

Healthcare Data Dashboard

The Artificial Intelligence Healthcare Data dashboard for hospital managers to manage and identify patients’ risk from one screen.

Training Courses Reviews

I highly recommend the computer training institute for anyone who wants to improve their computer skills. The instructors are knowledgeable and patient, and they create a comfortable and supportive learning environment. The curriculum is well-structured and covers a range of topics, from basic computer operations to advanced programming languages.



*Right place to learn new technologies *Self motivated staffs ... *This institution is a good start for emerging youngster who has a passion in their life I have trained for core Java. It was very useful to learn java from basic level. *The trainers are knowledgeable and real time worked employees. I like this institutions be hope with us. You are really reached your goals....


Harish Arjunan

One of the best academy to easy learn tally prime from kalpana mam one to one teaching is very excellent ..,coaching is very good and motivational person are here ...great service and excellent teach and friendly staff, good environment and comfortable to learn easily Thank you for wonderfull guide mam. ....


Priya Mohan

Frequently Asked Questions

What is Artificial Intelligence (AI)?

Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and learn like humans. It encompasses various technologies such as machine learning, natural language processing, computer vision, and robotics.

How is Artificial Intelligence (AI) used in real-world applications?

AI is used in diverse applications such as autonomous vehicles, healthcare diagnostics, virtual assistants (like Siri and Alexa), finance for fraud detection, retail for personalized recommendations, and in gaming and entertainment industries for immersive experiences.

What are the different types of Artificial Intelligence (AI)?

The different types of AI include narrow AI (used for specific tasks), general AI (capable of performing any intellectual task that a human can do), and artificial superintelligence (AI that surpasses human intelligence across all domains).

Why is machine learning important in Artificial Intelligence (AI)?

Machine learning is crucial in AI because it enables machines to learn from data and improve over time without being explicitly programmed. It powers AI applications by enabling them to make predictions, recognize patterns, and optimize outcomes based on past experiences.

What skills are required to work in Artificial Intelligence (AI)?

Professionals working in AI need skills in programming languages like Python, knowledge of machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch), data analysis, statistics, and problem-solving abilities. Strong understanding of mathematics and domain-specific knowledge is also beneficial.

How can Artificial Intelligence (AI) benefit businesses?

AI benefits businesses by automating repetitive tasks, improving decision-making with data-driven insights, enhancing customer service through chatbots, optimizing operations with predictive analytics, and enabling personalized marketing strategies. It can lead to increased efficiency, cost savings, and competitive advantage.

What are the ethical considerations in Artificial Intelligence (AI) development?

Ethical considerations in AI include issues related to bias in algorithms, data privacy, transparency in AI decision-making, job displacement due to automation, and the ethical use of AI in sensitive applications such as healthcare and law enforcement. Addressing these concerns is crucial for responsible AI deployment.

Is Artificial Intelligence (AI) a threat to jobs?

AI may automate certain jobs but also creates new opportunities by enhancing productivity, innovation, and creating new job roles in AI development, maintenance, and oversight. Reskilling and upskilling in AI-related skills can mitigate the impact of job displacement and prepare the workforce for AI-driven industries.

How can I learn Artificial Intelligence (AI) online?

You can learn Artificial Intelligence (AI) online through courses and certifications offered by universities, online platforms (like Coursera, edX, and Udacity), and AI-specialized training institutes. These courses cover AI fundamentals, machine learning algorithms, deep learning, and practical AI applications.

What are the future trends in Artificial Intelligence (AI)?

Future trends in AI include advancements in autonomous systems, AI-powered healthcare diagnostics, robotics, natural language processing (NLP) for human-computer interaction, AI in edge computing, and ethical AI frameworks. AI is expected to revolutionize industries, enhancing efficiency and driving innovation.

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