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.
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
Receive guidance and insights from industry experts.
Gain practical skills in a real-world cutting-edge projects.
Connect with professionals and peers in your field.
Enhance your technical and soft skills.
Boost your resume with valuable experience.
Get a certification to showcase your achievements.
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.
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.
NLP Specialization: Learn about NLP, install libraries, and build systems like hate speech detection and virtual assistants.
Deep Learning: Basics of neural networks, pretrained models, and various projects like image classification and drowsiness detection.
Computer Vision: Introduction to computer vision, setup, and projects like face detection, mask detection, and emotion recognition.
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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!
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
Master the Latest Industrial Skills. Select a technology domain & kick off your Internship immediately.
₹1999/-
₹3299/-
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.
EXCELLENTBased on 5972 reviewsTrustindex verifies that the original source of the review is Google.Swetha Senthil2024-09-18I completed my python internship guidance of mentor poongodi mam. She thought us in friendly qayTrustindex verifies that the original source of the review is Google.Durga Bala2024-09-18Poongodi mam done very well She took the class very well When we ask any doubt without getting bored she will explain,we learned so much from mam,marvelousTrustindex verifies that the original source of the review is Google.Subharanjani2024-09-18I recently completed Python internship under the guidance of poongodi mam who excelled in explaining concepts in an easily understandable wayTrustindex verifies that the original source of the review is Google.S Pushpanandhini2024-09-18Fantastic class we were attended..we got nice experience from this class..thank you for teaching python mam...Trustindex verifies that the original source of the review is Google.ANTON'S CREATIONS ___ Anton Rosario Xavier2024-09-17The learning experience was really worth since more than gaining just the knowledge all of the inputs were given in a friendly and sportive manner which then made it a good place to learn something with a free mindset... 👍🏻Trustindex verifies that the original source of the review is Google.Achu Achu2024-09-16I recently completed my full stack python intership under the guidance of mentor Gowtham,who excelled in explaining concepts in an easily understand mannerTrustindex verifies that the original source of the review is Google.Nandhini Baskar2024-09-16Gowtham-very interesting class and I learning so many things in full stack python development and I complete my internship in Pantech e learning and it is useful for my career
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.
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