Machine Learning
Internship 2024
Gain valuable insights into Machine Learning concepts and sharpen your skills by taking part in this internship program, which provides access to cutting-edge projects and guidance from experts.
1/ 2 Months
Online
8+ Live Projects
Dual Certification
Ultimate Step towards your Career Goals: Expert in Machine Learning 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.
Machine Learning Internship Overview
This outline should give you a detailed roadmap of the program, covering key areas and practical projects to enhance your skills in AI and NLP. Let’s dive into these exciting topics and start building your expertise!
Key Highlights:
- Introduction to NLP and Machine Learning
- Fundamental Tools and Techniques
- Regex: Regular expressions for pattern matching
- Text Preprocessing
Machine Learning Projects:
Sentiment Classification on Amazon Reviews: Using ML to analyze customer sentiment.
Deep Learning Basics:
Introduction to Deep Learning and TensorFlow: Understanding deep learning and setting up TensorFlow.
Advanced Preprocessing: Techniques like word2vec and average word2vec.
Advanced Deep Learning Models:
RNN and LSTM Architecture: Understanding Recurrent Neural Networks and Long Short-Term Memory models.
Next Word Prediction using LSTM: Building predictive models.
Generating Poetic Text using LSTM: Creative applications of LSTM.
Fake News Classifier using Bidirectional LSTM: Detecting misinformation.
Seq2Seq Models and Text Summarization: Sequence to sequence models for summarizing text.
Large Language Models (LLM):
Introduction to LLMs and Transformer Architecture: Basics of large language models and transformers.
Hugging Face: Fine-tuning pretrained models.
LangChain: Advanced applications like:
Chatting with Books and PDF Files using Llama 2 and Pinecone.
Blog Generation app using Llama 2.
SQL Query LLM using Google Gemini.
YouTube Video Transcribe Summarizer app with Google Gemini.
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, 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 interactive Mastermind Sessions
- 4+ Capstone Projects & Codes
- Full Roadmap
- Internship Report
- 1 Month Internship Certificate
₹3299/-
2 Month
- Participation Certificate
- 180 Days from the date of payment
- 4 LIVE interactive Mastermind Sessions
- 12+ Capstone Projects & Codes
- Full Roadmap
- Internship Report
- Internship Acceptance Letter
- 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.
Start Your Tech Journey Today
Sign Up for Exclusive Resources and Courses Tailored to Your Goals!