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

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Deep Learning Course in OMR

(1538)
Live Online & Classroom Training
EMI
0% Interest

Dive into artificial intelligence with our Deep Learning Training in OMR at SLA Institute. This comprehensive program takes you from basics to advanced techniques in deep learning. At SLA Institute, you’ll learn how to build and deploy neural, convolutional, and recurrent networks through hands-on projects. Our expert instructors and cutting-edge facilities ensure a top-notch learning experience. Benefit from our Deep Learning Course in OMR with 100% Placement Support to connect with leading employers in the industry. Enroll at SLA Institute today to advance your AI skills and elevate your career with our specialized training!

At SLA Institute, we guarantee placement in a high-paying Developer job with the support of our experienced placement officers. Our Deep LearningCourse Syllabus covers all essential topics, providing you with a comprehensive understanding of Deep Learningdevelopment.

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Upcoming Batches

Hands On Training
3-5 Real Time Projects
60-100 Practical Assignments
3+ Assessments / Mock Interviews
November 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
November 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 Deep Learning Course in OMR

The Deep Learning Course in OMR aims to achieve several goals to help you become proficient in web development using Deep Learning. Throughout the course, you’ll:

  • Learn Basics: Understand the fundamental concepts of deep learning, including neural networks and optimization methods.
  • Build Models: Gain experience in creating and training neural networks for various tasks.
  • Explore Advanced Models: Study and work with advanced deep learning models like CNNs, RNNs, and GANs.
  • Work on Real Projects: Apply your skills to practical projects in image recognition, language processing, and more.
  • Use Popular Tools: Get hands-on with tools and frameworks such as TensorFlow, Keras, and PyTorch.
  • Prepare for the Industry: Learn to solve complex problems and meet industry needs in deep learning.

Future Scope of Deep Learning Course in OMR

Future Trends in Deep Learning

The future of deep learning looks very promising with many advancements on the horizon. As technology like artificial intelligence (AI) and machine learning keeps improving, deep learning will play a bigger role in various fields. Companies and industries are increasingly using data-driven solutions, which means the need for deep learning skills will keep growing.

Career Opportunities

There will be many job opportunities for those skilled in deep learning. Fields like healthcare, finance, and automotive are actively seeking experts in this area. Roles such as Deep Learning Engineer, AI Research Scientist, and Data Scientist are in high demand as businesses invest more in AI technologies.

Technological Progress

Deep learning is leading to exciting new technologies. We can expect advances in neural network designs, better training methods, and more powerful computing tools. These developments will enable more advanced applications, like self-driving cars, improved language processing, and smarter data analysis.

Industry Needs

With data becoming more crucial for making decisions and automating processes, deep learning will remain a key focus. Industries will need professionals who can create and use deep learning models to solve complex issues. As a result, there will be a continued demand for skilled individuals in this field.

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SLA builds your future with comprehensive coursework and unparalleled placement support.
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Project Practices on Deep Learning Training

Project 1Handwritten Digit Recognition

Create a model to recognize handwritten digits from images, such as those from the MNIST dataset. Use Convolutional Neural Networks (CNNs) to improve your skills in image classification and pattern recognition.

Project 2Style Transfer Project

Develop a deep learning model that transfers the artistic style of one image to another. Implement neural style transfer techniques to blend content and style, helping you understand deep learning’s creative applications.

Project 3Speech Recognition System

Build a model to convert spoken language into text. Use Recurrent Neural Networks (RNNs) or Transformer models to process audio data and transcribe speech, enhancing your skills in handling sequential data and audio processing.

Project 4Text Generation

Create a deep learning model that generates coherent and contextually relevant text based on input prompts. Implement language models like GPT (Generative Pre-trained Transformer) to understand and produce human-like text, useful for applications in natural language processing.

Prerequisites for learning Deep Learning Course in OMR

To join our Deep Learning Training in OMR at SLA Institute, no specific prior knowledge is required. Whether you’re new to programming or have some experience, everyone is welcome. However, having a foundational understanding of the following can be beneficial:

  • Basic Programming Skills: Knowing how to code in Python, which is often used in deep learning, is important.
  • Math Knowledge: Understanding basic math, including algebra, calculus, and statistics, is helpful for learning how deep learning algorithms work.
  • Machine Learning Basics: Some experience with machine learning concepts, like supervised and unsupervised learning, will provide a good starting point.
  • Neural Networks: Basic knowledge of neural networks, including how they work and common terms like activation functions, will be useful.
  • Data Handling: Knowing how to work with and preprocess data will make it easier to handle deep learning projects.

Our Deep Learning Course in OMR is ideal to:

  • Students eager to excel in Deep Learning 
  • Professionals considering transitioning to Deep Learningcareers
  • IT professionals aspiring to enhance their Deep Learningskills
  • Data Analysts enthusiastic about expanding their expertise
  • Individuals seeking opportunities in Deep Learning

Job Profile in Deep Learning Course in OMR

In the Deep Learning Course in OMR at SLA Institute, participants are prepared for various job profiles that require expertise in both front-end and back-end data handling:

Deep Learning Engineer

  • Role: Create and use deep learning models for various tasks.
  • Responsibilities: Design neural networks, train them with data, check their performance, and improve them for better results.
  • Salary: ₹8,00,000 to ₹15,00,000 per year.

Data Scientist

  • Role: Use deep learning to analyze data and find useful insights.
  • Responsibilities: Build models, analyze results, and explain findings to others.
  • Salary: ₹6,00,000 to ₹12,00,000 per year.

Machine Learning Engineer

  • Role: Build and manage machine learning models, including deep learning ones, for real-world use.
  • Responsibilities: Develop models, integrate them into systems, and ensure they work well in practice.
  • Salary: ₹7,00,000 to ₹14,00,000 per year.

Research Scientist (AI/ML)

  • Role: Conduct research to improve deep learning and apply it to new projects.
  • Responsibilities: Publish research, test new algorithms, and develop innovative solutions.
  • Salary: ₹10,00,000 to ₹20,00,000 per year.

AI Consultant

  • Role: Advise companies on how to use deep learning to solve their problems.
  • Responsibilities: Understand client needs, suggest deep learning strategies, and oversee implementation.
  • Salary: ₹9,00,000 to ₹18,00,000 per year.

Computer Vision Engineer

  • Role: Develop models to analyze and understand visual data from images or videos.
  • Responsibilities: Create algorithms for detecting objects, classifying images, and analyzing video.
  • Salary: ₹7,00,000 to ₹15,00,000 per year.

These roles reflect the diverse career opportunities available for professionals with Deep Learning training, each offering unique responsibilities and competitive salaries.

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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

Deep Learning Course FAQ

Is Deep Learning easy or hard?

Deep Learning can be tough because it involves complicated math and big data. It needs good knowledge of programming and neural networks. But with proper training and practice, it gets easier and can be very rewarding.

What is Deep Learning used for?

Deep Learning is used for things like recognizing images and speech, understanding text, and making predictions from lots of data. It helps build systems that can understand and work with complex information.

Is deep learning very difficult?

Deep Learning can be hard because it uses complex math and large amounts of data. It also needs a good grasp of programming and neural networks. But with proper learning and practice, it can get easier.

Does SLA Institute have HR personnel?

Yes, SLA Institute has an HR personnel who will look into students issues and grievances.

Does SLA Institute support EMI options?

Yes, SLA Institute supports EMI options with 0% interest.’

Is Deep Learning good career?

Yes, Deep Learning is a great career choice. It offers high demand and good pay, with opportunities to work on cutting-edge technology and solve interesting problems.

Does SLA Institute provide Lifetime Placement Support?

Yes, SLA Institute provides Lifetime Placement Support to assist students in securing job placements throughout their careers.

On Average Students Rated The Deep Learning Course 4.90/5.0
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