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Artificial Intelligence Online Training

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Our Artificial Intelligence Online Training programs are designed for students, freshers, and working professionals who want to upskill and stay relevant. We offer Artificial Intelligence Online Courses that are practical, interactive, and aligned with the latest industry demands. Our Artificial Intelligence Syllabus covers the essential topics such as machine learning, deep learning, natural language processing, computer vision, neural networks, and AI model deployment. Enroll now and learn from industry experts with flexible timings and get Job support.

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Fees, Duration & Batch Timings for Artificial Intelligence Course

Hands On Training
3-5 Real Time Projects
60-100 Practical Assignments
3+ Assessments / Mock Interviews
July 2026
Week days
(Mon-Fri)
Online/Offline

2 Hours Real Time Interactive Technical Training 

1 Hour Aptitude 

1 Hour Communication & Soft Skills

(Suitable for Fresh Jobseekers / Non IT to IT transition)

Course Fee
July 2026
Week ends
(Sat-Sun)
Online/Offline

4 Hours Real Time Interactive Technical Training

(Suitable for working IT Professionals)

Course Fee

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Syllabus of Artificial Intelligence Course

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Deep Learning: A revolution in Artificial Intelligence
  • Limitations of Machine Learning
What is Deep Learning?
  • Need for Data Scientists
  • Foundation of Data Science
  • What is Business Intelligence
  • What is Data Analysis
  • What is Data Mining
What is Machine Learning? Analytics vs Data Science
  • Value Chain
  • Types of Analytics
  • Lifecycle Probability
  • Analytics Project Lifecycle
  • Advantage of Deep Learning over Machine learning
  • Reasons for Deep Learning
  • Real-Life use cases of Deep Learning
  • Review of Machine Learning
Data
  • Basis of Data Categorization
  • Types of Data
  • Data Collection Types
  • Forms of Data & Sources
  • Data Quality & Changes
  • Data Quality Issues
  • Data Quality Story
  • What is Data Architecture
  • Components of Data Architecture
  • OLTP vs OLAP
  • How is Data Stored?
Big Data
  • What is Big Data?
  • 5 Vs of Big Data
  • Big Data Architecture
  • Big Data Technologies
  • Big Data Challenge
  • Big Data Requirements
  • Big Data Distributed Computing & Complexity
  • Hadoop
  • Map Reduce Framework
  • Hadoop Ecosystem
Data Science Deep Dive
  • What Data Science is
  • Why Data Scientists are in demand
  • What is a Data Product
  • The growing need for Data Science
  • Large Scale Analysis Cost vs Storage
  • Data Science Skills
  • Data Science Use Cases
  • Data Science Project Life Cycle & Stages
  • Data Acuqisition
  • Where to source data
  • Techniques
  • Evaluating input data
  • Data formats
  • Data Quantity
  • Data Quality
  • Resolution Techniques
  • Data Transformation
  • File format Conversions
  • Annonymization
Python
  • Python Overview
  • About Interpreted Languages
  • Advantages/Disadvantages of Python pydoc.
  • Starting Python
  • Interpreter PATH
  • Using the Interpreter
  • Running a Python Script
  • Using Variables
  • Keywords
  • Built-in Functions
  • StringsDifferent Literals
  • Math Operators and Expressions
  • Writing to the Screen
  • String Formatting
  • Command Line Parameters and Flow Control.
  • Lists
  • Tuples
  • Indexing and Slicing
  • Iterating through a Sequence
  • Functions for all Sequences
Operators and Keywords for Sequences
  • The xrange() function
  • List Comprehensions
  • Generator Expressions
  • Dictionaries and Sets.
Numpy & Pandas
  • Learning NumPy
  • Introduction to Pandas
  • Creating Data Frames
  • GroupingSorting
  • Plotting Data
  • Creating Functions
  • Slicing/Dicing Operations.
Deep Dive – Functions & Classes & Oops
  • Functions
  • Function Parameters
  • Global Variables
  • Variable Scope and Returning Values. Sorting
  • Alternate Keys
  • Lambda Functions
  • Sorting Collections of Collections
  • Classes & OOPs
Statistics
  • What is Statistics
  • Descriptive Statistics
  • Central Tendency Measures
  • The Story of Average
  • Dispersion Measures
  • Data Distributions
  • Central Limit Theorem
  • What is Sampling
  • Why Sampling
  • Sampling Methods
  • Inferential Statistics
  • What is Hypothesis testing
  • Confidence Level
  • Degrees of freedom
  • what is pValue
  • Chi-Square test
  • What is ANOVA
  • Correlation vs Regression
  • Uses of Correlation & Regression
Introduction
  • ML Fundamentals
  • ML Common Use Cases
  • Understanding Supervised and Unsupervised Learning Techniques
Clustering
  • Similarity Metrics
  • Distance Measure Types: Euclidean, Cosine Measures
  • Creating predictive models
  • Understanding K-Means Clustering
  • Understanding TF-IDF, Cosine Similarity and their application to Vector Space Model
  • Case study
Implementing Association rule mining
  • What is Association Rules & its use cases?
  • What is Recommendation Engine & it’s working?
  • Recommendation Use-case
  • Case study
Decision Tree Classifier
  • How to build Decision trees
  • What is Classification and its use cases?
  • What is Decision Tree?
  • Algorithm for Decision Tree Induction
  • Creating a Decision Tree
  • Confusion Matrix
  • Case study
Random Forest Classifier
  • What is Random Forests
  • Features of Random Forest
  • Out of Box Error Estimate and Variable Importance
  • Case study
Naive Bayes Classifier.
  • Case study
Problem Statement and Analysis
  • Various approaches to solve a Data Science Problem
  • Pros and Cons of different approaches and algorithms.
Linear Regression
  • Case study
  • Introduction to Predictive Modeling
  • Linear Regression Overview
  • Simple Linear Regression
  • Multiple Linear Regression
Logistic Regression
  • Case study
  • Logistic Regression Overview
  • Data Partitioning
  • Univariate Analysis
  • Bivariate Analysis
  • Multicollinearity Analysis
  • Model Building
  • Model Validation
  • Model Performance Assessment AUC & ROC curves
  • Scorecard

Objectives of Artificial Intelligence Training

The main goal of our Artificial Intelligence Online Training is to provide knowledge on intelligent systems and agents, reasoning with or without uncertainty, formalization of knowledge, machine learning applications, and basic level robot making. Following are the learning outcomes of our Online AI Training Course

  • Fundamental understanding of AI with its foundations and history
  • Implementation of basic principles of AI in solutions for problem-solving, perception, inference, learning, and knowledge representations.
  • Fundamental understanding of AI techniques in applications like intelligent agents, artificial neural networks, machine learning models, and expert systems.
  • Proficiency in application development with AI language, data mining tools, and expert system shell scripts.
  • Well-versed in the implementation of scientific methods to models of machine learning.
  • In-depth knowledge for sharing discussions of AI, scope, limitations, and social implications.

Why Softlogic Systems is the Best Choice for Artificial Intelligence Training – Learn, Practice, and Get Placed!

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Online & Offline Training Options
Learn at your convenience with flexible classroom and live online training.
Learn from 100+ Real-Time Developers
Get trained by industry professionals with years of hands-on experience.
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Hands-on Projects & Codeathons
Practice with real-time projects and coding challenges to build confidence.
0% EMI Fee Options
Pay your course fees flexibly with easy EMI plans at zero interest.
Resume & Interview Support
Get expert help with resume building, mock interviews, and soft skills.
Placement with Top IT Firms
Access placement opportunities with leading MNCs and IT companies.
1000+ Hiring Partners
Benefit from Softlogic’s strong recruiter network for faster job placement.
No Backdoor Jobs
We ensure only genuine placement opportunities with trusted companies.
Want to Speak to a Trainer about Artificial Intelligence?Request a Free Callback

Highlights of Artificial Intelligence Course

The significance of learning AI is to make computer systems learn on their own from data that is extracted from previous tasks and experiences. It is about learning how to pre-program computer devices with AI functionalities to perform a task. The learning of AI includes programming languages, advanced mathematics, statistics, linear algebra, calculus, machine learning, neural network technology, deep learning, and computer vision. 

Launch your AI career or transform your career by joining our AI Online Training Institute. Following are the reasons to choose an online AI course for your bright future.

  • AI is the in-demand skill of the century. It is creating 130 million roles in major global sectors.
  • AI is everywhere and active 24/7 across the world through chatbots, self-driving cars, and security solutions.
  • AI and ML algorithms are used to retrieve patterns for useful insights for businesses and customers around the world.
  • AI gives bright careers to professionals and the average pay scale is around $100,000 per year in the US and other international companies.
  • AI is a versatile field and helps learners stand out from the queue to perform important roles in banking, security, healthcare, fraud detection, mobile app development, and so on.

There is no prior expertise required for learning AI courses online for freshers as we offer the course from scratch. Our trainers will be allocated as per the convenient learning hours of students around the world, and it can be regular classes, weekend classes, or fast-track mode. We suggest working professionals have the following prerequisites to enjoy complete hands-on experience with the new concepts.

  • Strong knowledge of Mathematics
  • Excellent Programming Knowledge
  • Good Analytical Skills
  • Understanding of complex algorithms
  • Fundamental knowledge in statistics and modeling

Our AI Online Course is suitable for: 

  • Students
  • Job Seekers
  • Freshers
  • IT professionals aiming to enhance their skills
  • Professionals seeking career change
  • Enthusiastic programmers

We have an affordable structure for the AI Online course fees in Chennai and it is worth your spending. Our AI online course fees in Chennai start at ₹25,000. The artificial intelligence online course duration is 2 months. For further artificial intelligence online course details, such as fees, duration, or current offers, kindly talk to our career counsellor directly.

The U.S Bureau of Labor Statics stated that global employment in AI industries is growing by 15% from 2019 to 2025 and it is projecting there will be 5,31,200 new jobs for certified and skilled AI professionals for the global MNC and IT companies. Top companies like Walmart, MIT Lincoln, Amazon, IBM, Nike, Samsung Electronics America, Warner Bros Entertainment, Fidelity Investments, and Pepsico are hiring employees for their various profiles. We equip the students to work in the following job profiles through our Online AI Training Course at Softlogic.

  • Artificial Intelligence Researcher
  • Data Scientist
  • Research Scientist
  • Lead Artificial Intelligence Engineer
  • Lead Machine Learning Engineer
  • Conversational Artificial Intelligence Engineer
  • Data Scientist
  • Research Interns
  • Customer Engineer
  • Software Engineer

In India, the artificial intelligence fresher salary is between ₹3.5 lakhs and ₹4.0 lakhs, and ₹20.9 lakhs on average for specialists with more than three years of experience. SLA equips AI aspirants with the required industry skills to get high-paid AI jobs through our AI online course with placement assistance.

Marketing uses real-time AI apps to analyze client data and forecast trends. Among them are:

  • AI in customer service, such as chatbots, voice assistance, etc.
  • AI in Agriculture, including crop and soil monitoring, pest management, etc.
  • AI in healthcare, such as medical diagnosis and treatment, telemedicine, etc.
  • AI in finance, including fraud detection, trading, investment, etc.
  • AI in manufacturing, such as predictive maintenance, quality control, etc
  • AI in transportation, like autonomous vehicles, traffic management, etc.
  • AI in marketing, including predictive analysis, customer segmentation, etc.
  • AI in education, such as personalized learning, student reports, etc.

Boost Your Skills with Our Artificial Intelligence Training Experts

Our Mentors are from Top Companies like:
  • Experienced and certified Artificial Intelligence Trainers with several years of experience in the industry.
  • They have extensive knowledge and possess hands-on experience in building and deploying AI solutions, models, algorithms and strategies on various domain.
  • They hold expertise in several AI technologies including Artificial Neural Networks, Deep Learning, Machine Learning, Natural Language Processing, Computer Vision and Cognitive Computing.
  • They have proficiency in programming languages like Python, Java, C++, JavaScript, R.
  • They are experienced in using various AI tools and platforms such as Tensor Flow, Keras, Scikit-Learn, IBM Watson and others.
  • They skillfully able to teach process automation using automation tools and AI algorithms as a part of Artificial Intelligence Training.
  • They are experienced in using several Big Data technologies such as Hadoop, MongoDB and Apache Spark. They have broad understanding of various AI applications such as Autonomous Driving, NLP, Image Processing and Object Recognition.
  • They are skilled in creating AI prototypes, developing data processing pipelines, performing hyper-parameter optimization for AI models and deploying AI models into production and hence train the students on the same by passing on the knowledge to them.
  • They have the ability to explain and demonstrate increasingly complex AI concepts to students and developers.
  • They passionately guides and mentors students to efficiently use AI tools and develop AI projects.
  • They are well versed in building strong and positive relationships with the students and is able to motivate them in complex tasks, assignments, resume making, and interview preparation.
Want to Speak to a Trainer about Artificial Intelligence?Request a Free Callback

What Modes of Training are available for Artificial Intelligence Course?

Offline / Classroom Training

A Personalized Learning Experience with Direct Trainer Engagement!
  • Direct Interaction with the Trainer
  • Clarify doubts then and there
  • Airconditioned Premium Classrooms and Lab with all amenities
  • Codeathon Practices
  • Direct Aptitude Training
  • Live Interview Skills Training
  • Direct Panel Mock Interviews
  • Campus Drives
  • 100% Placement Support
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Online Training

Interactive Quiz Website
Instructor Led Live Training! Learn at the comfort of your home
  • No Recorded Sessions
  • Live Virtual Interaction with the Trainer
  • Clarify doubts then and there virtually
  • Live Virtual Interview Skills Training
  • Live Virtual Aptitude Training
  • Online Panel Mock Interviews
  • 100% Placement Support
Explore Online Courses

Corporate Training

Blended Delivery model (both Online and Offline as per Clients’ requirement)
  • Industry endorsed Skilled Faculties
  • Flexible Pricing Options
  • Customized Syllabus
  • 12X6 Assistance and Support
Explore Offline Courses
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Certifications

Take your career to new heights with Softlogic's software training certifications.
Improve your abilities to get access to rewarding possibilities
Earn Your Certificate of Completion
Validate your achievements with Softlogic's Certificate of Completion, verifying successful fulfillment of all essential components.
Take Your Career to the Next Level with  Certifications
Get a certifications through our training programs to gain a competitive edge in the industry.
Stand Out from the Crowd with Codethon Certificate
Verify the authenticity of your real-time projects with Softlogic's Codethon certificate.

Hands-on Project Practices in Artificial Intelligence Course

AI-powered Image Editing
AI-based Game Playing Agent
Financial Market Analysis
AI-based Music Composition
Autonomous Robot Navigation
Chatbot Development
Virtual Personal Assistant
Machine Translation
Predictive Maintenance

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FAQs

The goal of Artificial Intelligence (AI) is to give machines the ability to “think like humans” by simulating their cognitive processes. Although artificial intelligence (AI) will never be as smart as a human being, it already has many practical uses.

Many factors have converged to make the present an exciting period for significant AI progress.

  • Over the past 60 years, computing power has increased by a factor of a trillion, making it far more efficient than it was back then.
  • Data processing is becoming more cost-effective.
  • Businesses are collecting more signals from client encounters, which means there is more data to study.
  • The use of AI has already greatly enhanced consumer apps, raising hopes for further greater simplification and hence increasing demand for AI expertise and research.

Absolutely to a greater extent. The vast majority of people who have access to a computer, smartphone, or other smart device are already making use of AI’s practical benefits:

  • Personal voice-processing assistants like Siri and Cortana are available now.
  • Image recognition is highly recommended for use in Facebook photo tagging.
  • Amazon uses machine learning algorithms to provide product recommendations.
  • Waze uses a mix of predictive algorithms, forecasting, and optimisation approaches to recommend the best routes for drivers to take.

The most basic kind of Artificial Intelligence will help with automating routine operations. Businesses may save a lot of time and money by using automation to handle data collecting, sorting, entering, and transformation. As it develops, it will be able to forecast your company’s future performance and tell you where you’re succeeding.

In spite of “millions” of job openings, only roughly 300,000 people are working in artificial intelligence (AI). Programming expertise in Python, R, Java, and C++ are particularly in demand due to the widespread adoption of AI.

The World Economic Forum predicts that 97 million new employment will be produced by 2025 as a direct result of AI innovations, and this trend is expected to continue into the foreseeable future.

A wide variety of AI and Machine Learning tools and techniques are covered in our Artificial Intelligence training in Chennai. This course, developed by AI experts and aimed at developing professionals, is perfect for you if:

  • Are a recent college graduate.
  • Are contemplating a career change into artificial intelligence development.
  • Have an interest in learning new skills to help you create, oversee, and organise AI-based solutions for your present company.
  • Are looking for a way to continue their education at a higher level to improve their academic skills in this field.

At Softlogic Systems, you will receive hands-on experience and rigorous training from industry professionals. The course content covers both introductory and advanced-level material.

Learning from AI training in Chennai, which combines excellence and innovation, will provide you with abilities and expertise that are unique and essential in both your personal and professional lives.

When compared to competitors in the software training market, our placement services are unparalleled.

After successfully completing the Artificial Training in Chennai, you will, indeed, be awarded a certificate of completion for your efforts. Our certification is an IBM-accredited one, which gives more credence to your CV and helps you stand out more prominently throughout the interview process.

The placement support offered by Softlogic increases your chances of getting the job of your dreams. Certified students who are interested in making a career change or entering the workforce for the first time will have access to comprehensive assistance through our placement assistance. Softlogic will provide the following premium services as part of our placement assistance:

  • Resume building
  • Career Guidance and Advising
  • Interview practise sessions
  • Career Expos

Professionals that are skilled in artificial intelligence are in high demand across a wide range of organizations, including those of Google, Microsoft, Deloitte Accenture, IBM, Capgemini, Amazon, Apple, and many more MNCs.

As there is a rising demand for AI specialists but a shortage of people with the necessary abilities, businesses are prepared to pay greater wages for trained AI professionals. The following table displays, according to Payscale, the annual salary that an AI engineer earns on average in key nations:

  • India – INR 982K
  • Canada – C$ 85,000
  • Australia – $110,000
  • The US – $110K
  • The UK – £60,000

Additional Information for
the Artificial Intelligence Course

The science and engineering of teaching computers to perform tasks that require human intellect, like speech recognition, language translation, perception, and decision-making, is known as artificial intelligence. It is a branch of computer science that focuses on creating intelligent systems. AI careers include positions in data science, robotics, computer science, game programming, and intelligence, among others. 

As a result, artificial intelligence is a highly sought-after course globally. To work in this sector, you should be able to speak at least one basic machine language.

Science and Research: The subject of drug discovery is growing quickly, and AI is greatly helping researchers in this regard. In biotechnology, researchers are now using AI to create bacteria for industrial uses.

Cybersecurity: To safeguard their resources and data, businesses are making significant investments in cybersecurity. The promise of AI in cybersecurity is bright. Cognitive AI is a strong representation of this field.

Data Analysis: Data analysis may benefit greatly from AI and machine learning. AI algorithms can get better through repetition, becoming more precise and accurate in the process. 

Transport: Autonomous vehicles present a rather big possibility for AI in the future. A lot of companies are working on creating self-driving cars, which will mostly depend on AI and machine learning to work.

Home Assistance: People’s houses now have a dedicated area for AI. Popular smart home appliances like Google Home and Amazon Echo enable you to do many tasks with just your voice. Reshape your career through our Artificial Intelligence Online Course at SLA. 

Cognitive skills such as the following are the focus of AI programming:

Learning: Creating rules to transform data into useful knowledge is the main objective of this area of AI programming. These rules—also referred to as algorithms—give computing systems detailed instructions on how to carry out particular tasks.

Reasoning: Finding the best algorithm to get a particular result is the main goal of this area of AI programming.

Self-rectification: Algorithms are continuously refined in this part of AI programming to guarantee the highest level of accuracy.

Creativity: To create new text, images, music, and ideas, this branch of AI employs neural networks, rules-based systems, statistical techniques, and other AI tools. 

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