Welcome to Cinute Digital Pvt. Ltd. (CDPL)

At Cinute Digital Pvt. Ltd., we offer cutting-edge training in Deep Learning, Natural Language Processing (NLP), and Generative AI, designed to equip you with the skills needed to excel in the rapidly evolving fields of AI and data science. Whether you’re looking to specialize in AI research, NLP engineering, or Generative AI development, our expert-led courses provide hands-on training, industry-relevant projects, and job placement support to ensure you become industry-ready.

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Why Choose Our Deep Learning AI Courses?

Our Deep Learning AI Courses are carefully designed to take you through the fundamentals and advanced topics in Deep Learning, NLP, and Generative AI. These technologies are revolutionizing industries, empowering machines to understand, create, and innovate.

1

Master Cutting-Edge Technologies

  • Learn the latest AI techniques including deep neural networks, sentiment analysis, language models, and generative adversarial networks (GANs).

2

Industry-Relevant Skills

  • Work on real-world applications like image generation, chatbots, content synthesis, and more.

3

Flexible Learning Options

  • Choose between online and on-premise training to match your schedule and learning style.

4

100% Job Placement Support

  • With our robust career services and mentorship from industry experts, we help you secure your dream job with placements in top companies.

What You'll Learn

Deep Learning Foundations

  • Understand neural networks and their real-world applications in AI.

NLP Techniques

  • Learn text processing, sentiment analysis, and other key NLP tasks to enable machines to understand human language.

Generative AI Models

  • Explore GANs and VAEs to create content such as images, music, and text.

Pre-Trained Models

  • Get hands-on experience with advanced pre-trained models like BERT and GPT.

Real-World Applications

  • Apply your knowledge in real-world scenarios, including chatbots, image recognition, and more.

Our Placements

Our Students Who Have landed Their Dream job In

Sessions

28 Lectures


Duration

55 Hrs


Placement

100% Assurance*


Job CTC

Upto 8 LPA*

Sessions

28 Lectures

Duration

55 Hrs

Placement

100% Assurance*

Job CTC

Upto 8 LPA*

LAND YOUR DREAM JOB

Make You Industry-Ready

EXCLUSIVE CAREER

Why Join Us?

Hands-On Training

Experience our interactive, hands-on teaching approach through a free course demo.

Industry-Leading Mentors

Learn from seasoned professionals who have pioneered advancements in their industries.

Job Readiness

Receive personalized career guidance and placement assistance.

Tools and technologies

Expert-Designed Course Structure

Hands-on training with real-world projects.

Gain practical experience by working on industry-relevant projects under expert guidance.

Training From Industry Leading Mentors

Learn from seasoned professionals who have pioneered advancements in their respective fields.

Career guidance and placement assistance.

Receive personalized support to sharpen your job search skills and secure rewarding opportunities.

Flexible learning option

Choose from online or on-premise training modes to suit your preferences and lifestyle.

1:1 Live Sessions

Live one-on-one training assistants via video call, chat and on-site with problem and solution guidance.

Comprehensive Curriculum

Master a wide range of concepts and techniques through a meticulously designed and up-to-date curriculum.

Key Benefits of Deep Learning AI Courses

1

Hands-On Training

  • Engage with practical projects to gain real experience.

2

Industry-Leading Mentors

  • Learn from experts who have pioneered advancements in AI.

3

Job Readiness & Career Support

  • Personalized job guidance and placement assistance.

4

Flexible Learning

  • Learn at your own pace with online or on-premise training options.

5

1:1 Live Sessions

  • Get personalized support through live video calls with mentors.

Course Curriculum: Deep Learning, NLP, and Generative AI

Module 1: Introduction to Deep Learning

  • Overview of Deep Learning
    • Understanding neural networks and their structure
    • Basics of deep learning models
  • Types of Deep Learning Models
    • Convolutional Neural Networks (CNNs)
    • Recurrent Neural Networks (RNNs)
    • Generative Adversarial Networks (GANs)

Hands-On Lab: Building your first neural network model

Module 2: Deep Learning Foundations

  • Neural Networks
    • Layers, Activation Functions, Backpropagation
    • Gradient Descent and Optimization Techniques
  • Deep Learning Algorithms
    • CNNs for Image Recognition
    • RNNs for Time Series Data

Hands-On Lab: Implementing basic neural network models

Module 3: Introduction to Natural Language Processing (NLP)

  • Overview of NLP
    • What is NLP and why it matters
    • Text Preprocessing and Tokenization
  • Text Analysis and NLP Tasks
    • Sentiment Analysis
    • Text Classification
    • Named Entity Recognition (NER)

Hands-On Lab: Building a simple sentiment analysis model

Module 4: Advanced NLP Techniques

  • Text Vectorization
    • Bag of Words
    • TF-IDF
    • Word Embeddings (Word2Vec, GloVe)
  • Language Models
    • Recurrent Neural Networks for Text Generation
    • Transformer Models
    • Attention Mechanism

Hands-On Lab: Building an NLP text classifier

Module 5: Generative AI

  • Introduction to Generative AI
    • Understanding GANs and VAEs (Variational Autoencoders)
    • Creative Content Generation (Images, Text, Music)
  • Generative Models
    • GANs for Image Generation
    • Style Transfer Algorithms
    • Content Synthesis and Data Augmentation

Hands-On Lab: Creating images using GANs and VAEs

Module 6: Advanced Deep Learning Techniques

  • Reinforcement Learning
    • Understanding the core concepts of reinforcement learning
    • Policy Gradient Methods
  • Algorithm Innovations
    • Transfer Learning
    • Fine-Tuning Pre-Trained Models

Hands-On Lab: Training a reinforcement learning model

Module 7: Pre-trained Models and Fine-Tuning

  • Pre-trained Models in NLP and Deep Learning
    • BERT, GPT, and T5 for NLP tasks
    • ImageNet Pre-trained Models for Computer Vision
  • Model Fine-Tuning and Transfer Learning
    • Customizing pre-trained models for specific tasks

Hands-On Lab: Fine-tuning BERT for a sentiment analysis task

Module 8: Real-World Applications

  • AI in Industry
    • AI for Healthcare, Finance, Retail, and more
    • Case Studies on AI applications in real-world scenarios (e.g., Chatbots, Image Generation, Fraud Detection)
  • Capstone Project
    • Work on an end-to-end AI project based on your learning
    • Present your solution with real-world data

Career Opportunities

Upon completing the course, you can explore roles such as:

NLP Engineer: Work with communication tech leaders like Slack to develop sentiment analysis, speech recognition, and language models.

Generative AI Developer: Innovate in creative AI ventures, like OpenAI’s DALL·E, focusing on image generation, style transfer, and content synthesis.

AI Research Scientist: Contribute to groundbreaking research in AI at labs like DeepMind.

With our job readiness programs and 100% placement assurance, you can aim for job CTCs of up to 8 LPA.

Course Details

Sessions: 28 Lectures

Duration: 55 Hours

Job CTC: Up to 8 LPA

Placement Assurance: 100%

Apply Now!

Join the Deep Learning AI Course at Cinute Digital Pvt. Ltd. and unlock your potential in the world of AI.

Job Readiness | Career Guidance and Support | Industry Certifications | Flexible Learning Schedule

OUR CURRICULUM

Our Interactive Course Content

Deep Learning

  1. Convolutional Neural Network (CNN)
  2. Artificial Neural Network (ANN)

  1. Recurrent Neural Network(RNN)
  2. Long Short Term Memory(LSTM)
  3. Auto encoders

GenerativeAI

  1. Generative Learning foundation models
  2. fine tuning (transfer Learning)

  1. Generative Adversarial Networks (GAN’s)
  2. Variational Auto-encoders(VAE)
  3. Transformer

  1. Bing
  2. Bard
  3. ChatGPT

  1. Stable diffusion
  2. Leonardo.ai
  3. Adobe firefly

  1. veed.io
  2. PlayHT

  1. ICOC
  2. ZERO shot, ONE shot and Few Shot prompting PlayHT

NLP

  1. Introduction to Natural Language Processing
  2. Scope and real- word applications of NLP

  1. Tokenization
  2. Stop word removal
  3. Stemming and Lemmatization
  4. NLTK's POS tagging capabilities

  1. SpaCy's NER capabilities
  2. Understanding syntactic relationships
  3. Analyzing sentence structure with SpaCy

  1. Tensors
  2. NLP with TensorFlow Project

Image Processing

Image Processing Basics

 

What is OCR
 

  1. Pytesserect
  2. PyOCR

AAA Accreditation

American Accreditation Association (AAA) accredited Training and Education Provider

ACTD_logo

American Council of Training and Development (ACTD) Accredited Professional Training Institution

Land your Dream Jobs
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Experience the CDPL
Training Approach

Video Courses Bootcamps CDPL
Real work experience ✖ ✖ ✔
True, project-based learning ✖ ✖ ✔
Live sessions & mentorship ✖ ✔ ✔
Job-ready portfolio ✖ ✖ ✔
Externship with top companies ✖ ✖ ✔
Career guidance ✖ ✔ ✔
Placement Assurance ✖ ✖ ✔

Eligibility

The individual should have prior knowledge of Python programming, ML libraries, and ML algorithms.

Undergraduates

This course is structured for any undergraduate or job seeker who wants to start his career in Deep learning and NLP, who has some basic understanding of python programming, Machine Learning field.

Graduates

Any Fresh graduate or post-graduate looking to secure a career in the IT domain.

Professionals

Any working professional with experience in the IT domain.

Our Process

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1
Onboarding Session Onboarding Session Hover

LIVE Learning

Experience Immersive Learning Through Our Live Classrooms

2
Live Learning Live Learning Hover

Onboarding Session

Kick-start Your Learning Journey with Our On-boarding Session

3
Certification & Placement Support Certification & Placement Support Hover

Certification & Placement Support

Certification to Career: Let Us Guide Your Path to Success

Start Your Journey


Take your AI skills to the next level by exploring our guide today. Gain the knowledge and expertise to excel in Deep Learning, NLP, and Generative AI.


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