GENERATIVE AI
Internship 2024
Embark on a journey through AI and deep learning with our course. From PyTorch basics to advanced GANs and VAEs, dive into projects like cancer prediction and image generation. Master essential tools and concepts for creating cutting-edge AI applications.
1/ 2 Months
Online
8+ Live Projects
Dual Certification
Ultimate Step towards your Career Goals: Expert in AI Technologies
Get ahead with the FutureTech Industrial Internship Program: gain hands-on experience, connect with industry leaders, and develop cutting-edge skills. Earn a stipend, receive expert mentorship, and obtain a certificate to boost your career prospects. Transform your future with practical, real-world learning today
Internship Benifits
Mentorship
Receive guidance and insights from industry experts.
Hands-on Experience
Gain practical skills in a real-world cutting-edge projects.
Networking
Connect with professionals and peers in your field.
Skill Development
Enhance your technical and soft skills.
Career Advancement
Boost your resume with valuable experience.
Certificate
Get a certification to showcase your achievements.
AI Internship Overview
Dive deep into the exciting world of Generative AI and Deep Learning with our comprehensive course. This program covers fundamental and advanced concepts, from the basics of PyTorch to sophisticated applications using Generative Adversarial Networks (GANs) and Variational AutoEncoders (VAEs). You will gain practical experience through projects like breast cancer prediction, flight fare prediction, and image-to-image translation. Enhance your skills and knowledge to become proficient in these cutting-edge technologies.
Key Highlights:
Generative AI, Deep Learning, and PyTorch
- Understand the core principles of generative AI and deep learning.
PyTorch Basics:
Tensor Creation: Learn how to create and manipulate tensors
Deep Learning Concepts:
Neural Networks: Basics of neural networks and their architecture.
Creating Basic Neural Network with PyTorch:
Step-by-step guide to designing and implementing a neural network using PyTorch.
Convolutional Neural Networks (CNN) in PyTorch:
Introduction to CNN: Understanding the structure and functions of CNNs.
Types of GANs and Applications: Explore different types of GANs and their use cases.
Variational AutoEncoders (VAE):
Basics and Applications: Understand VAEs and their use cases.
Generative AI, Deep Learning, and PyTorch Installation:
Understand the core principles of generative AI and deep learning.
Learn how to install PyTorch and set up your development environment.
PyTorch Basics:
Tensor Creation: Learn how to create and manipulate tensors.
Reshaping and Device Handling: Techniques for reshaping tensors and utilizing GPUs.
Deep Learning Concepts:
Neural Networks: Basics of neural networks and their architecture.
Activation Functions, Optimizers, Loss Functions: Key components in training neural networks
Creating Basic Neural Network with PyTorch:
Step-by-step guide to designing and implementing a neural network using PyTorch.
Practical Applications:
Breast Cancer Prediction Using ANN: Implementing an artificial neural network for predicting breast cancer.
Flight Fare Prediction Using ANN: Using the Wisconsin dataset to predict flight fares.
Introduction to Computer Vision:
Overview of computer vision concepts and applications.
Computer Vision Tools: Utilizing PyTorch and OpenCV for computer vision tasks.
Convolutional Neural Networks (CNN) in PyTorch:
Introduction to CNN: Understanding the structure and functions of CNNs.
Plant Disease Detection Using CNN: Applying CNN for detecting plant diseases.
Introduction to GANs:
Types of GANs and Applications: Explore different types of GANs and their use cases.
GAN Projects:
Handwritten Digits Generation Using PyTorch GAN: Create GANs to generate handwritten digits.
Realistic Face Generation with DCGAN on CelebA: Use Deep Convolutional GANs for face generation.
High-Quality Artwork Generation with Wasserstein GAN on CIFAR-10: Generate artwork using Wasserstein GAN.
Conditional Image Generation with CGAN on FashionMNIST: Implement Conditional GANs for image generation.
Image-to-Image Translation with Pix2Pix GAN on Cityscapes: Translate images from one domain to another.
Artistic Image Generation with Style GAN: Create artistic images using Style GAN.
Image Resolution Enhancement with SR-GAN on DIV2K: Enhance image resolution using Super-Resolution GAN.
Progressive High-Quality Faces with Pro-GAN on CelebA-HQ: Generate high-quality faces using Progressive GAN.
Introduction to Variational AutoEncoders (VAE):
Basics and Applications: Understand VAEs and their use cases.
Image Generation Using VAE: Implement VAEs for generating images.
Looking for in-depth Syllabus Information? Explore your endless possibilities in AI with our Brochure!
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Project Submission: Example Output Screenshots from Our Clients
Take a look at these sample outputs crafted by our clients. These screenshots showcase the impressive results achieved through our courses and projects. Be inspired by their work and visualize what you can create!
Dual Certification: Internship Completion & Participation
Earn prestigious Dual Certification upon successful completion of our internship program. This recognition validates both your participation and the skills you have honed during the internship, providing a competitive edge in your professional journey. Show off your expertise with pride!
How does this Internship Program Work?
Step 1 Enroll in the Program
✅ Get a Mentor Assigned
✅Presentations & Practice Codes
✅ Learn at your Flexible Time
✅ Apprehend the concepts
Step 2 Project Development
✅ Implement Skills Learn
✅ Develop Projects with assistance
✅ Get Codes for Reference
✅ Visualise the Concepts
Step 3 Certification
✅ Get Certified
✅ Certificate of Internship
✅ Project Completion Certificate
✅ Share on social media
✅ Get Job Notifications
Internship Letter (LoR)
Internship Report
Flexible Schedules
1 Month
₹1999/-
1 Month
- Internship Acceptance Letter
- 90 Days from the date of payment
- 4 LIVE intractive Mastermind Sessions
- 4+ Capstone Projects & Codes
- Full Roadmap
- Internship Report
- 1 Month Internship Certificate
₹3299/-
2 Month
- Internship Acceptance Letter
- 180 Days from the date of payment
- 4 LIVE interactive Mastermind Sessions
- 12+ Capstone Projects & Codes
- Full Roadmap
- Internship Report
- Participation Certificate
- 2 Month Internship Certificate
Our Alumni Employers
Curious where our graduates make their mark? Our students go on to excel in leading tech companies, innovative startups, and prestigious research institutions. Their advanced skills and hands-on experience make them highly sought-after professionals in the industry.
FAQ
What kind of projects will I work on?
Projects range from basic tasks like building a recommendation system or salary prediction model to advanced projects like image classification, face recognition, and NLP applications.
What is AI?
Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think, learn, and solve problems.
What is Python and why is it important?
Python is a popular programming language known for its simplicity and readability, making it perfect for beginners and widely used in AI and machine learning.
What are machine learning and deep learning?
Machine learning is a subset of AI focused on building algorithms that enable computers to learn from and make predictions based on data. Deep learning is a further subset that uses neural networks with many layers to analyze various factors of data.
What are the basic steps to start learning AI?
Begin with understanding Python programming, then move on to learning key libraries like NumPy, Pandas, and Scikit-learn, followed by studying machine learning and deep learning concepts.
What resources can I use to practice my skills?
Utilize online tutorials, coding platforms like GitHub, and participate in competitions on sites like Kaggle to enhance your learning.
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