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Deep Learning Training in chennai and Certification

Learn Deep Learning Training in Chennai with AI – Certification & Placement

Start your AI journey with Immek Softech Academy’s deep learning training in Chennai with AI. This course includes certification and 100% placement support.

AI engineers are in high demand across every industry. Our training covers core topics like neural networks, NLP, computer vision, and model deployment. We use tools such as TensorFlow and PyTorch to deliver hands-on experience.

You’ll learn from expert trainers with real-world industry exposure. Our sessions focus on practical skills through live projects and guided mentoring. Both freshers and IT professionals can benefit from this career-focused training.

Immek Softech Academy stands out as a top AI training institute in Chennai. We offer up-to-date learning materials and dedicated placement support to help you land high-paying roles in the AI field.

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Deep Learning with AI Course in Chennai

Immek Softech Academy provides expert-led deep learning with AI course in Chennai, designed to help learners master Artificial Intelligence and Deep Learning technologies. This job-oriented AI certification course covers key concepts including neural networks, deep learning algorithms, computer vision, NLP, and model deployment. With hands-on training, real-time projects, and industry-relevant tools like TensorFlow and PyTorch, students gain practical knowledge to become certified AI professionals and accelerate careers in machine learning, AI engineering, and data-driven innovation.

Pre-requisites for Deep Learning with AI Course in Chennai

  • Educational Background -Basic understanding of Mathematics, Statistics, or Computer Science (preferred but not mandatory) for deep learning with AI course eligibility in Chennai
  • Technical Skills –Familiarity with programming languages like Python and basic data handling through AI and machine learning tool exposure
  • Work Experience (Optional) – Professionals from IT, software development, or data science backgrounds will benefit the most from this AI and deep learning certification course
  • Analytical Mindset – Ability to work with data, understand patterns, and apply logic effectively using deep learning models and AI frameworks

Objectives of Deep Learning with AI Course – AI Certification Program

  • Master Deep Learning & AI Concepts – Learn neural networks, CNNs, RNNs, and machine learning foundations with in-depth deep learning with AI training in Chennai
  • Enhance Real-Time Predictive Capabilities –Use AI tools and frameworks to build accurate, real-time models for decision-making and automation
  • Gain Hands-on Experience –Work on live AI projects, datasets, and real-world applications in healthcare, finance, and more
  • Automate & Optimize Data-Driven Processes –Streamline operations with AI-driven insights, model deployment, and intelligent automation
  • Prepare for ERP Certification –Build strong foundations to clear industry-recognized AI and deep learning certification exams
  • Unlock Career Growth –Become an AI Engineer, Deep Learning Specialist, or Data Scientist with this job-ready deep learning course in Chennai

Deep Learning with AI Syllabus – AI & Deep Learning Training at Immek Softech Academy

1.Introduction to Deep Learning with AI
  • Overview of Deep Learning with AI module and its business benefits
  • Deep Learning vs traditional machine learning – key differences
  • Architecture and integration of AI models in deep learning
2.Fundamentals of Artificial Intelligence
  • Introduction to AI and machine learning concepts
  • Supervised vs unsupervised learning
  • Key components of AI-driven applications
3.Neural Networks (NN)
  • Neural network architecture and design principles
  • Feedforward neural networks (FNN)
  • Activation functions and backpropagation
4.Deep Learning Algorithms
  • Understanding Deep Neural Networks (DNN)
  • Convolutional Neural Networks (CNNs) for image recognition
  • Recurrent Neural Networks (RNNs) and applications in time series forecasting
5.TensorFlow and Keras
  • Introduction to TensorFlow and Keras libraries
  • Building and training models using TensorFlow
  • Optimizing and fine-tuning models
6.Data Preprocessing and Feature Engineering
  • Techniques for handling missing values and outliers
  • Feature scaling, normalization, and encoding
  • Data augmentation for image and text data
7.Advanced Deep Learning Topics
  • Generative Adversarial Networks (GANs)
  • Autoencoders for unsupervised learning
  • Transfer learning and model reuse
8.Natural Language Processing (NLP)
  • Text preprocessing and tokenization
  • Implementing RNNs and LSTMs for text generation
  • Deep learning applications in sentiment analysis and machine translation
9.Reinforcement Learning
  • Principles of reinforcement learning (RL)
  • Q-learning and deep Q-networks (DQN)
  • Applications of RL in robotics and gaming
10.Deep Learning for Computer Vision
  • Understanding CNN architectures (AlexNet, VGG, ResNet)
  • Object detection, image segmentation, and classification
  • Implementing image processing with CNNs
11.Model Evaluation and Optimization
  • Evaluating model performance using accuracy, precision, recall, and F1-score
  • Hyperparameter tuning and cross-validation
  • Overfitting vs underfitting and regularization techniques
12.AI-Driven Business Applications
  • AI in healthcare, finance, retail, and manufacturing
  • Building intelligent recommendation systems
  • Real-time decision-making and automation with AI
13.Integration of AI with Other Technologies
  • Integration with cloud platforms like AWS, Azure, and Google Cloud
  • Building and deploying AI models in real-time applications
  • Edge computing and deploying models on IoT devices
14.AI Ethics and Bias
  • Ethical considerations in AI and deep learning
  • Addressing bias in AI models
  • Legal and social implications of AI
15.AI Tools and Libraries
  • Python libraries for deep learning (NumPy, pandas, matplotlib, scikit-learn)
  • Deep learning frameworks (TensorFlow, Keras, PyTorch)
  • Model deployment tools (Flask, FastAPI, Docker)
16.Performance Tuning & Model Deployment
  • Model performance optimization
  • Batch jobs and background scheduling
  • Deployment of deep learning models for production environments
17.AI for Data Science
  • Building predictive models using deep learning
  • Time series forecasting using LSTMs
  • Data analysis and pattern recognition with AI
18.AI Future Trends
  • Innovations in AI, deep learning, and neural networks
  • Future trends in AI applications for business
  • Understanding the impact of AI on industries
19.Capstone Project
  • Hands-on project using deep learning models
  • Real-world AI project implementation and deployment
  • Problem-solving using deep learning algorithms
20.Real-Time Business Scenarios
  • AI use cases in business
  • End-to-end implementation of deep learning for real-world problems
  • Case-based learning and troubleshooting
21.Optimization for Large Datasets
  • Handling large datasets with deep learning
  • Distributed training using GPUs and cloud computing
  • Optimizing model training times with batch processing
22.Advanced Computer Vision Techniques
  • Object recognition and localization
  • Image classification, detection, and segmentation
  • Image captioning and visual question answering
23.Speech Recognition & Processing
  • Introduction to speech-to-text technologies
  • Implementing deep learning models for voice assistants
  • Natural language processing for speech recognition
24.AI for Autonomous Systems
  • AI applications in autonomous vehicles
  • Deep learning for self-driving technology
  • Perception and decision-making systems
25.Final Assessment & Certification Preparation
  • Mock interviews and exam preparation
  • Resume building and job readiness for AI roles
  • AI deep learning certification practice tests
View more

Tools Covered in Deep Learning with AI Training Course

1. Key Tools Covered in Deep Learning Course
  • Neural Network Architecture & Model Design – Learn to build and fine-tune deep neural networks using industry-standard frameworks in our deep learning with course in Chennai
  • Supervised & Unsupervised Learning – Master classification, regression, and clustering techniques through hands-on deep learning project training
  • Natural Language Processing (NLP) –Understand text classification, sentiment analysis, and language modeling with real-world NLP applications
2.Advanced AI & Deep Learning Tools – Deep Learning with AI Course in Chennai
  • TensorFlow & PyTorch –Work with popular deep learning frameworks to build scalable AI models and deploy them efficiently
  • Keras API –Use Keras for quick prototyping and model development in a user-friendly, high-level interfaceOpenCV & Computer Vision – Explore image recognition, object detection, and facial recognition using computer vision tools
3.AI Planning & Automation in Deep Learning
  • Model Optimization & Hyperparameter Tuning – Improve model performance through tuning techniques like Grid Search, Random Search, and Bayesian Optimization
  • AutoML Tools – Learn how to automate model selection, training, and deployment using state-of-the-art AutoML platforms
4. Deep Learning Integration & Customization – AI Course in Chennai
  • Cloud Integration – Deploy AI models using AWS, GCP, or Azure with scalable cloud architecture
  • Custom API Development – Expose trained deep learning models through REST APIs for seamless application integration

Top Deep Learning Interview Questions – AI Job Preparation Guide

General Deep Learning with AI
  • What is Deep Learning and how does it differ from traditional machine learning approaches?
  • How does deep learning with AI improve accuracy in real-time decision-making and predictive analytics?
  • What are the advantages of using neural networks over conventional algorithms in AI systems?
Deep Learning Architectures
  • What is the difference between CNNs, RNNs, and Transformers in deep learning models?
  • How is backpropagation used for model training in deep learning networks?
  • Explain transfer learning and how pre-trained models like BERT or ResNet are used in modern AI applications
Model Optimization and Evaluation
  • What are common techniques to prevent overfitting in deep learning models?
  • Explain the roles of activation functions like ReLU, Sigmoid, and Tanh in deep learning architectures.
  • How do you evaluate a deep learning model’s performance using metrics such as accuracy, precision, recall, and F1-score?
Real-Time AI Applications
  • How is deep learning applied in image recognition, natural language processing, and autonomous systems?
  • Describe a real-time AI project where deep learning was used for classification or prediction.
  • What tools and frameworks (like TensorFlow, Keras, or PyTorch) are used in deep learning with AI training?

Why Immek Softech Academy is the Best Deep Learning with AI Training Institute in Chennai

Top-Rated Deep Learning Course in Chennai-Immek Softech Academy delivers industry-focused Deep Learning with AI training in Chennai, with a strong success rate and expert-designed curriculum.
Job-Ready Deep Learning Curriculum Covers core AI concepts like Neural Networks, CNNs, NLP, and Computer Vision, preparing you for roles in AI, machine learning, and data science.
Hands-on AI Projects & ToolsWork on real-time deep learning projects like image recognition, sentiment analysis, and predictive modeling to build job-ready skills.
Expert AI Trainers– Learn from certified professionals with hands-on AI experience in real-world applications and enterprise AI deployment.
Career & Certification Support-Get 100% placement assistance, resume help, mock interviews, and prep for AI certifications like TensorFlow and AWS AI.
In-Demand AI Career Paths -Train to become a Deep Learning Engineer, AI Developer, or Data Scientist—careers that are high-paying and future-proof.
Flexible Learning Modes-Choose online or classroom-based deep learning courses in Chennai, ideal for freshers and working professionals

Benefits of Deep Learning with AI Training at Immek Softech Academy

  • Industry-Focused Curriculum – Master Deep Learning and AI techniques with real-world applications in computer vision, natural language processing, and neural networks tailored for today's technology landscape.
  • Hands-on Training – Work on live AI projects, case studies, and coding exercises using popular frameworks like TensorFlow, Keras, and PyTorch.
  • Expert-Led Sessions – Learn from certified AI professionals with extensive experience in deep learning, machine learning, and AI implementation.
  • Certification Assistance – Get complete guidance and resources to help you clear globally recognized AI certifications.
  • 100% Job Placement Support –Receive support with resume writing, interview preparation, and job referrals, ensuring success in the AI job market.
  • Flexible Learning Options – Choose online or offline Deep Learning with AI training in Chennai that fits your schedule and learning preferences
  • High-Demand Career Opportunities – Begin your career as a Deep Learning Engineer, AI Researcher, or Data Scientist, with skills that are in high demand in top-paying tech roles.

Placement Support – Deep Learning with AI Training at Immek Softech Academy

  • 100% Job Assistance –Receive comprehensive support to secure AI roles in Deep Learning, Machine Learning, Data Science, and AI engineering through our job-oriented training in Chennai.
  • Professional Resume Building – Create an AI-focused resume showcasing your deep learning and AI skills to attract top tech employers in the AI field.
  • Interview Preparation –Prepare for interviews with mock sessions, real-world scenario-based questions, and expert feedback tailored for Deep Learning and AI job positions.
  • Industry Tie-Ups –Access AI-related job opportunities and placement referrals via our strong connections with leading tech companies and AI-focused startups.
  • ERP Certification Guidance – Get expert-led training and structured support to help you clear industry-recognized AI certifications like TensorFlow, PyTorch, and others.
  • Career Mentorship –Benefit from personalized mentorship to guide your career development, helping you secure roles as a Deep Learning Engineer, AI Researcher, or Data Scientist.

Register for this Course

    Course Duration 30 Hrs.

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    Flexible Batches For You

    05-March-2025
    Monday (Monday - Friday)

    Weekdays Regular

    08:00 AM (IST)

    (Class 1Hr - 1:30Hrs) / Per Session

    26-Feb-2025
    Wednesday (Monday - Friday)

    Weekdays Regular

    08:00 AM (IST)

    (Class 1Hr - 1:30Hrs) / Per Session

    01-Mar-2025
    Saturday (Saturday - Sunday)

    Weekend Regular

    11:00 AM (IST)

    (Class 1Hr - 1:30Hrs) / Per Session

    Course Fee:

    ₹40,000

    ₹ 32,000

    20 % OFF, Save 8000

    Expires in: 00D :11H :04M :05S

    Program fees are indicative only* know More

    Deep learning with Ai Training Key Benefits

    • 12 Weeks Training

      For Become a Expert
    • Certificate of Training

      From Industry deep learning with Ai Experts
    • Beginner Friendly

      No Prior Knowledge Required
    • Build 3+ Projects

      For Hands-on Practices
    • Lifetime Access

      To Self-placed Learning
    • Placement Assistance

      To Build Your Career

    Top Companies Placement

    Our Deep Learning with AI Training in Chennai boosts recruitment success by equipping companies with skilled AI professionals proficient in building intelligent systems. Graduates can expect lucrative career opportunities, as our placement assistance ensures substantial salary growth. Enroll now in our trending Deep Learning course in Chennai with 100% Job Assurance and take your career to the next level!

    Showcase your Course Completion Certificate to Recruiters

    • A leading training institute offering top-notch IT courses.
    • Industry-accepted certifications to boost career prospects.
    • Proof of skills in Deep Learning and other technologies.
    • Helps in securing jobs with top companies worldwide.
    • Enhances resume & showcases expertise to recruiters.
     

    Frequently Asked Questions (FAQ)

    1. Who can enroll in this Deep Learning with AI course?

    This course is ideal for professionals and freshers who have a background in Computer Science, Engineering, or related fields. It is also suitable for data enthusiasts, software developers, and anyone eager to enter the field of artificial intelligence and deep learning..
    Learning Deep Learning with AI opens doors to high-demand career opportunities in AI and Machine Learning. You'll gain expertise in building intelligent systems, computer vision, natural language processing, and more, making you highly valuable in the tech industry.
    Yes, we offer both online and offline learning options for the Deep Learning with AI course, allowing you to choose the mode of learning that suits your schedule and preference.
    Absolutely! This course includes practical, hands-on training with live projects, case studies, and assignments that will give you real-world exposure to Deep Learning techniques, tools, and frameworks. .
    • Yes, our Deep Learning with AI course is designed to help you prepare for globally recognized AI certifications such as TensorFlow, PyTorch, and other machine learning-related credentials.
    Yes, we offer 100% job placement support, including resume building, interview preparation, and industry tie-ups to help you land a job in AI, deep learning, or data science roles.
    After completing the Deep Learning with AI course, professionals typically earn between ₹6-15 Lakhs per annum depending on the role, experience, and location. Entry-level roles like AI Engineer or Data Scientist can expect salaries starting from ₹6 Lakhs per annum..
    Career Assistance
    • - Build an Impressive Resume
    • - Get Tips from Trainer to Clear Interviews
    • - Attend Mock-Up Interviews with Experts
    • - Get Interviews & Get Hired