Radical Technologies

AI WITH ADVANCED DEEP LEARNING

Deep learning is an AI function that mimics the workings of the human brain in processing data for use in detecting objects, recognizing speech, translating languages, and making decisions. Deep learning AI is able to learn without human supervision, drawing from data that is both unstructured and unlabeled. Also known as deep neural learning or deep neural network.

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The Syllabus

Curriculum Designed by Experts

Introduction

Nuts & Bolts

  1. Introduction to Github & Kaggle
  2. Introduction to Machine Learning Concepts
  3. Mathematics of Artificial Neural Network.
  4. Single neuron prediction model.

TensorFlow 2.x

  1. Introduction to Google’s TensorFlow Framework for Deep Learning
  2. Data types in TF, key data transformation Methods.
  3. Implement TensorFlow data pipeline using Tfrecords and tf.data methods

Construct Deep Learning Network 

  1. Construct a Deep Learning Model to predict an Image.
  2. Details of Sequential vs functional API of TF Keras implementation.
  3. Hyper Parameter tunning of model.
Image Processing

Image Classification

  1. Convolution Neural Network
  2. Advanced CNN Networks – AlexNet, Residual Networks (ResNet)
  3. Implement ResNET model in Google Colab.

Transfer Learning

  1. Introduction to TensorFlow Hub
  2. Open Source labelling tools for custom data annotation.
  3. Fine tune pre trained ResNet & Inception V4 models.

Object Detection & Image Segmentation

  1. TF’s Object Detection API
  2. FasterRCNN algorithm.
  3. MaskRCNN for image segmentation
Text Processing

Text Classification

  1. Introduction to Word Embeddings
  2. Recurrent Neural Networks (RNN)
  3. LSTM / Bi LSTM & GRU Networks

Text Extraction

  1. Named Entity Extraction using spaCy library
  2. Construct a custom NER model using BiLSTM netowrk
  3. Hyper Parameter Tunning of BiLSTM and spaCy’s model

BERT – attention-based models

  1. Introduction to BERT architecture
  2. Introduction to Hugging face’s BERT methods
  3. Fine Tune a Question & Answering Model on Custom data set

 

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    Why Radical Technologies

    Live Online Training

    Highly practical oriented training
    Installation of Software On your System
    24/7 Email and Phone Support
    100% Placement Assistance until you get placed
    Global Certification Preparation
    Trainer Student Interactive Portal
    Assignments and Projects Guided by Mentors
    And Many More Features
    Course completion certificate and Global Certifications are part of our all Master Program

    Live Classroom Training

    Weekend / Weekdays / Morning / Evening Batches
    80:20 Practical and Theory Ratio
    Real-life Case Studies
    Easy Coverup if you missed any sessions
    PSI | Kryterion | Redhat Test Centers
    Life Time Video Classroom Access ( coming soon )
    Resume Preparations and Mock Interviews
    And Many More Features
    Course completion certificate and Global Certifications are part of our all Master Program

    Self Paced Training

    Self Paced Learning
    Learn 300+ Courses at Your Own Time
    50000+ Satisfied Learners
    Course Completion Certificate
    Practical Labs Available
    Mentor Support Available
    Doubt Clearing Session Available
    Attend Our Virtual Job Fair
    10% Discounted Global Certification
    Course completion certificate and Global Certifications are part of our all Master Program

    Skills Covered

    • Generative Models (GANs & VAEs)

    • Transfer Learning

    • Reinforcement Learning

    • Neural Networks & Deep Learning Fundamentals

    • Convolutional Neural Networks (CNNs)

    • Transformers & Attention Mechanisms

    • Hyperparameter Tuning & Model Optimization

    • AI Ethics & Fairness

    • Parallelization & GPU Computing

    • NLP (Natural Language Processing)

    • Model Evaluation & Performance Metrics

    • Autoencoders & Dimensionality Reduction

    • Data Preprocessing & Feature Engineering

    • Python Programming for AI

    • Data Augmentation & Regularization

    • Mathematical Foundations

    • Deployment of AI Models

    • Object Detection & Image Segmentation

    • Algorithmic Thinking & Problem Solving

    tool covered

    Like the Curriculum ? Let's Get Started

    Why Enroll for Ai With Advanced Deep Learning ?

    In-Demand Skills

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    Enroll in our AI WITH ADVANCED DEEP LEARNING Course Training to master cutting-edge AI technology while ensuring security and compliance in data handling. Gain certification to boost your career with hands-on training designed to meet industry standards and regulatory requirements.

    Course benefits

    • Comprehensive Understanding of AI & Deep Learning

    • Hands-On Experience with Popular Frameworks

    • Real-World Applications

    • Advanced Neural Network Architectures

    • Problem-Solving Skills

    • Model Optimization & Deployment

    • AI Ethics and Responsibility

    • Exposure to Cutting-Edge Research

    • Career Opportunities

    • Collaboration and Networking

    • Project Portfolio

    • Mathematical and Statistical Rigor

    Who Can Apply for Red Hat Linux

    Why Ai With Advanced Deep Learning ?

    Scalability

    Unlock the potential of AI with Advanced Deep Learning Course Training! This course offers deep insights into scalability, empowering you to handle complex models efficiently. Achieve AI with Advanced Deep Learning Course Certification and gain the skills needed for high-demand AI careers!

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    Drive Innovation with our AI with Advanced Deep Learning Course Training. Gain hands-on experience in deep learning techniques and advanced AI tools that fuel innovation. Achieve certification through expert-led sessions, preparing you to lead AI-driven projects and breakthroughs. Enroll now!

    Global Certification

    • Google Professional Machine Learning Engineer Certification

    • Microsoft Certified: Azure AI Engineer Associate

    • AWS Certified Machine Learning – Specialty

    • IBM AI Engineering Professional Certificate

    • DeepLearning.AI TensorFlow Developer Certificate

    • NVIDIA Deep Learning Institute (DLI) Certification

    • Certified AI Practitioner (CAIP) – CertNexus

    • Udacity Nanodegree – Deep Learning

    course certificate

    Red Hat Linux Fees in Bangalore

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    20 jul

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    ₹ 85,044

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    About Us

    At Radical Technologies, we are committed to your success beyond the classroom. Our 100% Job Assistance program ensures that you are not only equipped with industry-relevant skills but also guided through the job placement process. With personalized resume building, interview preparation, and access to our extensive network of hiring partners, we help you take the next step confidently into your IT career. Join us and let your journey to a successful future begin with the right support.

    At Radical Technologies, we ensure you’re ready to shine in any interview. Our comprehensive Interview Preparation program includes mock interviews, expert feedback, and tailored coaching sessions to build your confidence. Learn how to effectively communicate your skills, handle technical questions, and make a lasting impression on potential employers. With our guidance, you’ll walk into your interviews prepared and poised for success.

    At Radical Technologies, we believe that a strong professional profile is key to standing out in the competitive IT industry. Our Profile Building services are designed to highlight your unique skills and experiences, crafting a resume and LinkedIn profile that resonate with employers. From tailored advice on showcasing your strengths to tips on optimizing your online presence, we provide the tools you need to make a lasting impression. Let us help you build a profile that opens doors to your dream career.

    Red Hat Linux Course Projects

    Infrastructure Provisioning

    And Configuration Management

    Implementing automated infrastructure provisioning and configuration management using Ansible. This may include setting up servers, networking devices, and other infrastructure components using playbooks and roles. 

    software-developer

    Applications Deployment

    And Orchestration

    Automating the deployment and orchestration of applications across development, testing, and production environments. This could involve deploying web servers, databases. middleware, and other application components using Ansible

    Continuous Integration

    And Continuous Deployment

    Integrating Ansible into CI/CD pipelines to automate software. build, test, and deployment processes. This may include automating the creation of build artifacts, running tests, and deploying applications to various environments.