Software Training Institute in Chennai with 100% Placements – SLA Institute

Easy way to IT Job

Artificial Intelligence Online Course

(1987)
Live Online & Classroom Training
EMI
0% Interest

Our Artificial Intelligence Online Training in Chennai will make students learn some of the most in-demand concepts in Artificial Intelligence such as – Deep Learning, Machine Learning, Data, Big Data,Python, Numpy & Pandas, Statistics, Clustering, Implementing Association rule mining, Decision Tree Classifier, Random Forest Classifier etc. This curriculum will surely make students experts in the concept of Artificial Intelligence in a shorter span of time. Our Artificial Intelligence Online Course with 100% placement support is curated with the help of leading experts from the IT industry, which makes our Artificial Intelligence Online Course up-to-date in accordance with the latest trends.

Our SLA Institute is guaranteed to place you in high-paying Machine Learning Engineer and other Artificial Intelligence related jobs with help of our experienced placement officers. SLA Institute’s Course Syllabus for Artificial Intelligence covers all topics that are guaranteed to give you a complete understanding of the Artificial Intelligence Online Course in Chennai.

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Upcoming Batches

Hands On Training
3-5 Real Time Projects
60-100 Practical Assignments
3+ Assessments / Mock Interviews
October 2024
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
October 2024
Week ends
(Sat-Sun)
Online/Offline

4 Hours Real Time Interactive Technical Training

(Suitable for working IT Professionals)

Course Fee

Save up to 20% in your Course Fee on our Job Seeker Course Series

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Quick Enquiry

Placement

100% Assistance

Learning

Job-Centered Approach

Timings

Convenient Hrs

Mode

Online & Classroom

Certification

Industry-Accredited

This Course Includes

  • FREE Demo Class
  • 0% EMI Loan Facilities
  • FREE Softskill & Placement Training
  • Tie up with more than 500+ MNCs & Medium Level Companies
  • 100% FREE Placement Assistance
  • Course Completion Certificate
  • Training with Real Time Projects
  • Industry-Based Coaching By MNC IT Professionals
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Expected Criteria for Assured Placement

The following criteria help the placement team guide the candidates to get placed immediately after the course completion through SLA Institute.

  • 80% of coursework completion helps us arrange interviews in required companies.
  • 2 or 3 projects to be done for the selected course to ace the technical round effectively.
  • Ensure attending the placement training right from the first day of the selected course.
  • Practice well with resume building, soft skill, aptitude skill, and profile strengthening.
  • Utilize the internship training program at SLA for the complete technical skills.
  • Collect the course completion certificate and update the copy to the placement team.
  • Ensure your performance indicator meets the expectation of top companies.
  • Always be ready with the updated resume that includes project details done at SLA.
  • Enjoy unlimited interview arrangements along with internal mock interviews.
Have Queries? Ask our Experts

+91 89256 88858

SLA's Distinctive Placement Approach

1

Tech Courses

2

Expert Mentors

3

Assignments & Projects

4

Grooming sessions

5

Mock Interviews

6

Placements

Objectives of Artificial Intelligence Online Course in Chennai

The primary objective of our Artificial Intelligence Online Course in Chennai is to make enrolled candidates experts in Artificial Intelligence. This Artificial Intelligence Online Course will make students grow into successful and most in-demand Machine Learning Engineer, and more. SLA Institute’s Artificial Intelligence Online Course Curriculum is loaded with some of the most useful and rare concepts that will surely give students a complete understanding of Artificial Intelligence. So, some of those concepts are discussed below:

  • The syllabus starts with fundamental concepts like – Deep Learning: A revolution in Artificial Intelligence, Need for Data Scientists, Foundation of Data Science, Value Chain, Types of Analytics, Basis of Data Categorization, Types of Data, Data Collection Types etc.
  • The syllabus then moves towards What Data Science is, Why Data Scientists are in demand, What is a Data Product, Starting Python, Interpreter PATH, Using the Interpreter, The xrange() function, List Comprehensions etc.
  • The syllabus moves to the advanced topics after that where students learn about – Similarity Metrics, Distance Measure Types: Euclidean, Cosine Measures, Creating predictive models, What is Association Rules & its use cases?, What is the Recommendation Engine & it’s working?, What are Random Forests, Features of Random Forest etc. 

Scopes in the future for Artificial Intelligence Online Course in Chennai

The following are the scopes available in the future for the Artificial Intelligence Online Course:

  • Increasing Industry Demand: There is a rising need across various sectors for professionals skilled in AI. Companies are adopting AI technologies to boost productivity, efficiency, and foster innovation.
  • Expanding Job Roles: Roles such as Machine Learning Engineer, Data Scientist, AI Research Scientist, and AI Product Manager are highly sought after. Completing an online AI course can equip individuals for these positions.
  • AI Applications in Diverse Fields: AI is being deployed across sectors like healthcare (diagnosis, personalized medicine), finance (algorithmic trading, fraud detection), retail (recommendation systems, supply chain optimization), and autonomous vehicles. Specialized AI courses can prepare individuals for these specific domains.
  • Advancements in Research and Development: AI is a rapidly evolving domain with ongoing progress in algorithms, models, and applications. Future AI courses may focus on cutting-edge research, enabling students to contribute to new innovations.

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Project Practices on Artificial Intelligence Training

Project 1Image Recognition with CNNs

Develop a CNN model for image classification (e.g., cats vs. dogs), exploring transfer learning with models like VGG or ResNet.

Project 2NLP Applications

Create a sentiment analysis system for social media or product reviews, or implement text summarization and language translation using LSTM or Transformer models.

Project 3Reinforcement Learning for Games

Build AI agents using techniques like Q-learning or Deep Q-Networks to play games such as Tic-Tac-Toe, Snake, or Atari games.

Project 4Predictive Analytics and Forecasting

Develop models for stock price prediction using LSTM networks or ARIMA models, or build a weather forecasting system with historical data.

Prerequisites for learning Artificial Intelligence Online Course in Chennai

SLA Institute does not demand any prerequisites for any course at all. SLA Institute has courses that cover everything from the fundamentals to advanced topics so whether the candidate is a beginner or an expert they will all be accommodated and taught equally in SLA Institute. However having a fundamental understanding of these concepts below will help you understand Artificial Intelligence better, However it is completely optional:

  • Programming Proficiency: Mastery of programming languages is crucial. Python stands out for AI due to its extensive libraries supporting data manipulation, machine learning, and neural networks. Familiarity with libraries like NumPy, Pandas, and TensorFlow/PyTorch enhances learning.
  • Mathematical Understanding: A powerful grasp of mathematics is fundamental, covering:
  • Linear Algebra: Understanding vectors, matrices, operations, eigenvalues, and eigenvectors.
  • Calculus: Knowledge in differentiation, integration, and optimization.
  • Probability and Statistics: Familiarity with probability distributions, hypothesis testing, and regression analysis.
  • Data Handling Skills: Proficiency in data management and analysis is essential, encompassing techniques for data cleaning, preprocessing, and feature engineering.
  • Fundamentals of Machine Learning: Basic comprehension of machine learning concepts such as supervised and unsupervised learning, along with evaluation metrics. Knowledge of algorithms like linear regression, logistic regression, decision trees, and k-nearest neighbors is advantageous.

Our Artificial Intelligence Online Course in Chennai is fit for:

  • Students eager to excel in Artificial Intelligence
  • Professionals considering transitioning to Artificial Intelligence careers
  • IT professionals aspiring to enhance their Artificial Intelligence skills
  • Machine Learning Engineer who are enthusiastic about expanding their expertise.
  • Individuals seeking opportunities in the Artificial Intelligence field.

Job Profile for Artificial Intelligence Online Course in Chennai

After finishing the Artificial Intelligence Online Course in Chennai, students will be placed in various organizations through SLA Institute. This section will explore the various range of job profiles in which students can possibly be possible be placed as in the Artificial Intelligence sector;

  • Machine Learning Engineer: Artificial Intelligence Course will train students into successful Machine Learning Engineer who specializes in designing and implementing machine learning systems and algorithms.
  • Data Scientist: Artificial Intelligence Course will turn students into skilled Data Scientist who analyze complex datasets to derive insights and build predictive models using machine learning and statistical techniques.
  • AI Research Scientist: Artificial Intelligence Course will make students into AU Research Scientist who conducts research to advance AI methodologies, develops novel algorithms, and explores AI applications.
  • AI Engineer: The SLA Institute will turn students into skilled AI Engineers who develop applications and systems powered by AI, integrating technologies like natural language processing and computer vision.
  • Deep Learning Engineer: The SLA Institute will train students into Deep Learning Engineer who focuses on building and optimizing deep neural networks for applications such as image and speech recognition.
  • Natural Language Processing (NLP) Engineer: The SLA Institute will train students into Natural Language Processing (NLP) Engineer who works on applications involving understanding and generating human language, such as chatbots and sentiment analysis systems.
  • Computer Vision Engineer: Develops algorithms and systems to interpret visual information for applications like facial recognition and autonomous vehicles.
  • AI Product Manager: Oversees the development and deployment of AI projects within organizations, ensuring alignment with business goals.
  • Robotics Engineer: Integrates AI with robotics to create autonomous systems capable of performing complex tasks.
  • AI Consultant: Provides strategic advice to businesses on AI technologies, assisting with strategy formulation, implementation, and optimization.
  • AI Ethicist: Addresses ethical concerns related to AI development and deployment, promoting responsible and ethical use of AI technologies.
  • AI Trainer/Annotator: Prepares and labels data for training AI models, ensuring data quality and relevance to improve model accuracy.
  • AI Application Tester: Tests AI applications to verify performance and functionality according to specified requirements.
  • AI System Integrator: Integrates AI solutions into existing systems and platforms, ensuring seamless compatibility and operational effectiveness.
  • AI Entrepreneur: Founders ventures focused on AI technologies, innovating and delivering new AI products or services.

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The Placement Process at SLA Institute

  • To Foster the employability skills among the students
  • Making the students future-ready
  • Career counseling as and when needed
  • Provide equal chances to all students
  • Providing placement help even after completing the course

Artificial Intelligence Course FAQ

Which programming languages are commonly used in AI?

Python is widely favored in AI due to its simplicity, robust libraries (such as NumPy, Pandas, TensorFlow, PyTorch), and strong community support. While R and Java are also used, Python dominates AI development.

What are the essential libraries and frameworks in AI development?

Key libraries and frameworks include TensorFlow, PyTorch, Keras, scikit-learn, NLTK (Natural Language Toolkit), OpenCV (for computer vision), and spaCy (for NLP). These tools enable tasks ranging from building neural networks to implementing machine learning algorithms and processing natural language.

What are the typical hardware requirements for running AI models?

Hardware needs vary based on task complexity and dataset size. For basic AI development and learning, a modern laptop or desktop with a decent CPU (like Intel Core i5 or AMD Ryzen 5), sufficient RAM (8GB or more), and a dedicated GPU (NVIDIA GeForce GTX 1060 or higher) suffice. For more demanding tasks like training large neural networks, more powerful GPUs (NVIDIA RTX series or Tesla GPUs) or cloud platforms like AWS, Google Cloud, or Azure are recommended.

How can beginners start with AI projects without prior experience?

Begin with structured online courses or tutorials that introduce AI concepts, programming fundamentals, and tools. Start practicing with small projects like image classification using TensorFlow or sentiment analysis with NLTK. Engage with online communities, forums, or participate in AI hackathons to gain practical experience and learn from real-world applications.

How many branches does the SLA Institute have?

The SLA Institute has two branches currently as of now – one is in K.K.Nagar and another is in OMR, Navalur.

Is it easy to learn Artificial Intelligence through Online mode?

Yes, the SLA Institute has experienced trainers, and modern infrastructure that will make the learning easy for students.

How long is the Artificial Intelligence Online Course?

In the SLA Institute the Artificial Intelligence Online Course is 2 months long.

On Average Students Rated The Artificial Intelligence Course 4.90/5.0
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