Artificial Intelligence

Internship 2024

Career-Based Complete Artificial Intelligence Internship Program. Get Insights into: Python, Machine & Deep Learning concepts with Project Implementation and Assignments. Stay Updated on Latest Industrial Updates.

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

Embark on a transformative journey with our AI & Deep Learning Course. This program is meticulously crafted to equip you with the theoretical knowledge and practical skills necessary to excel in the fields of artificial intelligence and deep learning.

Key Highlights:

  • Foundation in AI: Begin with an introduction to AI, covering its principles, applications, and the essential tools required.

  • Python and Libraries Setup: Step-by-Step guidance on installing Python and critical libraries like TensorFlow, Keras, and PyTorch.

  • Machine Learning Basics: Dive into machine learning concepts, learning how to install libraries and develop models for tasks such as music recommendation and salary prediction.

  • Deep Learning Mastery: Understand deep learning fundamentals and design your first neural network. Explore advanced topics such as CNNs for image classification, object recognition using pretrained models, and various practical projects.

  • Hands-On Projects: Gain real-world experience with projects like handwritten recognition, leaf disease detection, and drowsiness detection using deep learning techniques.

  • Advanced Computer Vision: Learn about computer vision concepts and build applications for face and eye detection, vehicle counting, face mask detection, and emotion recognition

Machine Learning Basics: Dive into machine learning concepts, learning how to install libraries and develop models for tasks such as music recommendation and salary prediction.

  • Introduction of Machine learning
  • How to install ML libraries
  • Training and evaluation the various ML model
  • Music recommendation system.
  • Employee salary prediction  system.

NLP Specialization: Learn about NLP, install libraries, and build systems like hate speech detection and virtual assistants.

  • Introduction of NLP and its terminology
  • How to install NLP Libraries
  • Hate speech detection ML system
  • Speech emotion recognition in NLP
  • How to create AI virtual assistant using python
  • Language Transtalor

Deep Learning: Basics of neural networks, pretrained models, and various projects like image classification and drowsiness detection.

  • Introduction of Deep learning
  • How to intsall DL libraries
  • Designing your first Neural network.
  • Object recognition from pretrained model
  • Image classification using CNN
  • Leaf disease detection using deep learning.
  • Hand written recognition
  • Traffic sign Recognition using CNN and KERAS
  • Coloring the image old to B&W
  • Label reading using OCR
  • Drowsiness detection using DL
  • Image caption generator using DL.

Computer Vision: Introduction to computer vision, setup, and projects like face detection, mask detection, and emotion recognition.

  • Introduction of computer vision
  • how to install computer vision libraries
  • Face and Eye detection in opencv.
  • Vechile counting
  • Object tracking based on color in opencv
  • Face recognition using opencv
  • Face mask detection using opencv
  • Currency detection using opencv
  • Emotion recognition through the facial express.

Looking for in-depth Syllabus Information? Explore your endless possibilities in AI with our Brochure!

share this detailed brochure with your friends! Spread the word and help them discover the amazing opportunities awaiting them.

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

iNTERNSHIP 2025

How does this Internship Program Work?

Step 1 Enroll in the Program

Choose Your Plan fit your needs

Master the Latest Industrial Skills. Select a technology domain & kick off your Internship immediately.

1 Month

₹1999/-

2 Month

₹3299/-

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.

Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think, learn, and solve problems.

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.

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.

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.

Utilize online tutorials, coding platforms like GitHub, and participate in competitions on sites like Kaggle to enhance your learning.

Start Your Tech Journey Today

Sign Up for Exclusive Resources and Courses Tailored to Your Goals!

Training provided is in form of On-Campus Courses, In-House Courses, Faculty Development Programs, Hands on Sessions, Workshops and Seminars.

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