Deep-Learning IN chennai

Deep learning is a subfield of machine learning that focuses on teaching artificial neural networks to perform tasks by mimicking the architecture and functionality of the human brain. Deep learning models are capable of autonomously learning hierarchical representations of data through the use of numerous layers of interconnected nodes, or artificial neurons. They can solve complicated problems and recognize patterns because of this capacity. The technique has shown to be a vital component in the advancement of artificial intelligence, demonstrating notable success in a variety of applications, including speech and picture recognition, natural language processing, and autonomous systems.

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Instructional Format Online
Live Courses 3 Months
Executive Course Certification
45+ Hiring Partners
Mentorship Support Placement Support
Resume Building Assisting mock

Deep-Learning Course Overview

Examine the ever-changing field of artificial intelligence by enrolling in a comprehensive Deep Learning course. Discover the complex ideas and procedures guiding this rapidly developing area. Explore convolutional and recurrent neural networks and their uses, then dive into the design and optimization of deep neural networks.

Key-Highlights
  • 60+ hours of live classroom training
  • Projects aligned in domains industries
  • Master more than ten stack tools.
  • 2 live Projects
  • 24*7 Support
  • Certification
  • Individual Consultation Industry Experts
  • Placement Support
  • Mock Job Interviews
  • Zero-Interest EMI
  • Flexible Session Scheduling
  • Discussion through Class

Deep Learning Certification

After completing an accredited and demanding training program, you can get certified in deep learning, which is a formal recognition of your ability in the field. Employers and peers can see concrete proof of your competence with this certification. By setting you apart in a crowded job market, exhibiting your specific skill set to prospective employers, and creating doors for new employment chances or promotions, it can greatly improve your career prospects.

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Testimonials

Aarathana

Deep-Learning

"Completing the Deep Learning course significantly boosted my career. The certification opened doors to new job opportunities, and the skills acquired are directly applicable to my work. The course not only covered the fundamentals but also delved into advanced topics, making it a comprehensive and career-enhancing experience."

PradeepKumar

Deep-Learning

"I highly recommend the Deep Learning course! The material is well-organized, and the instructors are passionate about the subject. The hands-on projects were engaging, and the online community made learning interactive. I appreciate the balance between theory and practical applications. This course has sparked my interest in pursuing a career in artificial intelligence."

Who Is Eligible to Apply for the Course?
  • Working professionals in the IT industry seeking to transition into AI development or upgrade their skills may be eligible.
  • Students currently enrolled in computer science or related degree programs who wish to enhance their skills may be eligible.
  • Perfect for beginners!"
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Deep Learning-Syllabus

Module 1: Introduction to Deep Learning
  • Overview of Machine Learning and Artificial Intelligence
  • Historical development and milestones in Deep Learning
  • Basic concepts of neural networks and deep learning
Module 2: Neural Network Architecture
  • Perceptrons and multi-layer perceptrons (MLP)
  • Activation functions
  • Backpropagation algorithm for training neural networks
Module 3: Convolutional Neural Networks (CNN)
  • Architecture and applications of CNNs
  • Image classification and object detection
  • Transfer learning with pre-trained models
Module 4: Recurrent Neural Networks (RNN)
  • Architecture and applications of RNNs
  • Sequence modeling and natural language processing
  • Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) networks
Module 5: Deep Learning for Natural Language Processing (NLP)
  • Word embeddings and word2vec
  • Sentiment analysis
  • Named Entity Recognition (NER)
Module 6: Generative Adversarial Networks (GANs)
  • Introduction to GANs
  • GAN architecture and training
  • Applications of GANs, including image generation and style transfer
Module 7: Reinforcement Learning
  • Basics of reinforcement learning
  • Q-learning and policy gradient methods
  • Applications of reinforcement learning in deep learning
Module 8: Deep Learning Frameworks
  • Overview of popular deep learning frameworks (TensorFlow, PyTorch)
  • Hands-on exercises with a deep learning framework
  • Model deployment and serving
Module 9: Ethical and Responsible AI
  • Considerations for ethical AI development
  • Bias and fairness in machine learning models
  • Responsible AI practices and guidelines
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Job Search Pre-interview Planning Resume Building
Guaranteed Interviews

Interviews guaranteed upon project and assignment submission. Interview with more than 45+of our hiring partners.


special access to the Jobs portal on Inetz

Dedicated job portal access with exclusive job applications. Over 45+ hiring partners, such as leading product companies and start-ups, are employing our learners. coached assistance in finding suitable jobs to advance your career.

Prepare for Mock Interviews

Technical experts will conduct several mock interviews with students, after which they will provide advice and helpful for future reference.


Individualized Career Guidance Sessions

Attend one-on-one meetings with career mentors to discuss how to cultivate the necessary abilities and mindset to land a dream job based on the educational background, prior work experience, and future career goals of learners.

Sessions with a Career Focus

Participate in more than 15 live, interactive sessions with an industry expert to learn and gain experience developing the kind of skills hiring managers look for. You will be able to stay on track with your upskilling goal by attending these guided sessions.


Building a LinkedIn Profile and Resume

Our career services team can help you create a stellar resume and LinkedIn profile. You can also learn how to attract the hiring manager's attention during the profile shortlisting stage.

Frequently Asked Questions

Why should I pursue a career in Deep Learning?

A career in Deep Learning offers exciting opportunities to work on cutting-edge technologies, solve complex problems, and contribute to advancements in artificial intelligence. With applications in various industries, it provides a versatile and dynamic career path.

What is the future outlook for careers in Deep Learning?

The future outlook for Deep Learning careers is promising. As technology continues to evolve, there is a growing demand for professionals who can leverage deep learning to develop innovative solutions. Specialized roles and industries are likely to expand, providing diverse opportunities.

Can Deep Learning contribute to ethical concerns in AI?

ethical considerations are vital in Deep Learning. Bias in algorithms, transparency, and fairness are ongoing concerns. Professionals working in Deep Learning should actively engage in ethical practices, consider the societal impact of their work, and stay informed about industry guidelines.

How does Deep Learning impact various industries?

Deep Learning has transformative effects across industries, including healthcare (medical image analysis, diagnostics), finance (fraud detection, risk assessment), automotive (autonomous vehicles), and natural language processing (voice assistants, language translation), to name a few.