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INDUSTRIAL INTERNSHIP on Generative AI

Generative AI Internship covers the foundations of deep learning and focuses on introducing the learner to generative models like Generative Adversarial Networks (GANs) and Variational AutoEncoders (VAE). By working on practical applications, the students learn to create data-driven models for real-life problems in computer vision.

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Unleash the potential of Generative Artificial Intelligence.

The Generative AI Internship is a comprehensive, program that introduces students to a range of deep learning concepts used in generative models. Starting from scratch, students learn how to install PyTorch and its essential components followed by some fundamental Tensor creations, labeling, and storage. the student advances in using Deep Learning based GANS for Generating Images.

6+ Core Gen aI Concepts

Learn and Practice PyTorch | DL | ANN | CNN | GAN | DCGAN | WGAN | CGAN | Pix2Pix GAN |Style GAN | SR-GAN & PRO-GAN

15+ LIVE Projects

Implement Learned skills to develop LIVE Projects with Codes and Assistance

Program Highlights

Live / Recorded

Gain access to 30+ Records of High Value Content and Instructor Led Weekend LIVE Sessions

Community Supported

Become a Member of a Community of Highly Interactive Members and access to resources and Q & A Sessions

1 / 2 Months

Updated access to Records for 1 / 2 Months
- Learn Anytime , Anywhere

Download PPT & Project Materials

Download Presentations and Project codes to practice while learning and implementation. Lifetime Access

How this Internship Program Works ?

Step 1 Enroll to the Program

✓ Gain Access to 30 Days of Record
✓ Get a Mentor Assigned
✓ Download Presentations & Practice Codes
✓ Learn at your Flexible Time
✓ Apprehend the concepts

Step 2 Attend LIVE Bootcamps

✓ Join the Private Community of Developers
✓ Attend LIVE Q & A Sessions
✓ Interact with the Mentor
✓ Practice the concepts

Step 3 Project Development

✓ Implement Skills Learnt
✓ Develop Projects with assistance
✓ Download Codes for Reference
✓ Implement Real-Time Data
✓ Visualise the Concepts

Step 4 Certification

✓ Get Certified
✓ E Certificate of Internship
✓ Project Completion Certificate
✓ Share on social media
✓ Get Job Notifications

Internship Curriculum

  • Introduction to Generative AI, Deep learning, PyTorch installation.
  • PyTorch basics – Tensor creation, reshaping, device handling.
  • Deep learning concepts – Neural networks, Activation functions, optimizers, loss functions.
  • Creating basic neural network with Pytorch.
  • Breast Cancer prediction on using ANN with pytorch.
  • Flight Fare Prediction using ANN wisconsin dataset with pytorch.
  • Introduction to computer vision.
  • Computer vision tools in pytorch and opencv.
  • Introduction to CNN in pytorch.
  • Plant Disease detection using CNN with Pytorch.

  • Introduction to GANs, types of GANs, Applications.
  • GAN – Handwritten Digits Generation using PyTorch GAN.
  • DCGAN – Realistic Face Generation with DCGAN on CelebA.
  • WGAN – High-Quality Artwork Generation with Wasserstein GAN on CIFAR-10.
  • CGAN – Conditional Image Generation with CGAN on Fashion MNIST.
  • Pix2Pix GAN – Image-to-Image Translation on Cityscapes.
  • Style GAN – Generating Artistic Images with Style GAN.
  • SR-GAN – Image Resolution Enhancement with SR-GAN on DIV2K.
  • Pro-GAN – Progressive High-Quality Faces with Pro-GAN on CelebA-HQ.
  • Introduction to Variational AutoEncoders (VAE).
  • Image generation using VAE.

    Capstone Projects

    fake Newsa asasas
    Fake News Detection
    face Scan
    Face and eye Detection
    virtual Assistant
    Virtual AI
    Assistant
    Titanic Survival Prediction
    Traffic sign Recognition

    Internship Benefits & Bounus Takeaways

    Internship Reports
    Internship
    Reports
    Resume Building
    Resume
    Buliding
    Mock Interviews
    Mock Interviews
    Job Alerts
    Job
    Alerts
    Tech Mind-Map
    Tech
    Mind-Map
    Time Management​
    Time Management

    1 Month Internship

    ✓ Exclusive Videos with detailed explanation
    ✓ Assignments & Projects
    ✓ Flexible Time
    ✓ New Lectures on the current trend
    ✓ 4 LIVE interactive Mastermind Sessions
    ✓ 90 Days from the date of payment
    ✓ 4+ Capstone Projects & Codes
    ✓ 1 Month Internship + Mastermind Project Completion Certificate





    2 Month internship

    ✓ Exclusive Videos with detailed explanations
    ✓ Assignments & Projects
    ✓ Flexible Time
    ✓ New Lectures on the current trend
    ✓ 4 LIVE interactive Mastermind Sessions
    180 Days from the date of payment
    ✓ 12+ Capstone Projects & Codes
    2 Month Internship + Mastermind Project Completion Certificate





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    Frequently Asked Questions?

    The Generative AI course is a comprehensive curriculum that delivers essential foundational concepts, Generative Models, such as GAN networks and VAEs in advanced areas of artificial intelligence. Multiple examples with pytorch understanding are Share for students to gain practical know-how deployment of generative models to real-life use cases.

    Anyone with an interest in GEN AI can take these courses, including students, professionals, and hobbyists. Some courses may require previous knowledge of programming or computer science, while others may be designed for beginners.

    Students will be able to apply successful generations of AI-models to produce realistic AI predictions and applications scenarios as real results with articulate image and scene representation.

    Yes, knowledge of programming and Python is essential for these courses as the syntax is formulated within the precedence of PyTorch framework, where the primal usage focuses on Stacked transformers’ functional unit.

    The length of time it takes to complete an GEN AI course depends on the course’s level of difficulty and the amount of time you can dedicate to the course. Some courses may take a few weeks to complete, while others may take several months.

    The cost of taking GEN AI courses varies depending on the course and the platform. Some courses are free, while others may cost several hundred or thousand dollars. Some platforms offer financial aid and scholarships to eligible students.

    Yes, many courses offer certificates of completion that you can use to demonstrate your skills and knowledge to potential employers or for personal satisfaction. Some courses may also offer industry-recognized certifications.

    Yes, many employers recognize the value of GEN AI courses and consider them a valuable addition to a candidate’s resume. Completing an GEN AI course can demonstrate your commitment to learning and developing new skills, which can help you stand out in a competitive job market.

    Learn, practice, and get certified !

    Give the Best Start to Your Career

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