Inplant Training in Coimbatore for AIDS / AIML
Unlock New Possibilities in AI and Data Science with Our Specialized In-Plant Training Program Tailored for AI/DS and AI/ML Students. This program offers a unique opportunity to apply your academic knowledge to real-world scenarios, providing hands-on experience in areas such as machine learning, deep learning, data analytics, and natural language processing.
“Equip yourself with the skills employers crave and transform theoretical learning into practical expertise.”
Do Inplant Training at a software company?
Nandha Infotech, based in Coimbatore, is a forward-thinking software company specializing in cutting-edge solutions for various industries. Renowned for its innovative product Sense Luto, which offers advanced farm monitoring and soil condition updates, the company emphasizes real-world applications and research. As an incubated entity at the Indian Institute of Information Technology, TNAU, and Tabif, Nandha Infotech is dedicated to nurturing talent through its comprehensive internship programs.Nandha Infotech has also trained numerous students and benefited several institutions through its impactful educational initiatives and hands-on training programs.
THIS TRAINING INCLUDES THE FOLLOWING CERTIFICATES AND DOCUMENTS
- Inplant Training(IPT) Certificate.
- Free Workshop Certificate.
- Free Corporate Training Test certificate.
- Inplant Training(IPT) Report.
- Training Documents.
- Useful Softwares.
- Corporate Training Test Portal Access.
- Advanced AI Tools
Inplant training in coimbatore for AIDS / AIML
We offer Inplant Training in coimbatore for AIDS /AIML students. The domains are AI/ML Development ( AI, ML, and Deep Learning,Linear Regression, Decision Trees, and SVM,Accuracy, Precision, Recall, F1 Scor
Introduction to AI/ML Concepts
- Overview of AI, ML, and Deep Learning
- Key Terminologies and Algorithms
- Introduction to Supervised and Unsupervised Learning
- Hands-on: Basic Python for AI/ML
Data Preprocessing and Exploration
- Data Collection and Cleaning Techniques
- Exploratory Data Analysis (EDA) and Visualization
- Feature Engineering and Selection
- Hands-on: Data Preprocessing using Pandas and NumPy
Machine Learning Algorithms
- Supervised Learning Algorithms: Linear Regression, Decision Trees, and SVM
- Unsupervised Learning Algorithms: Clustering and Dimensionality Reduction
- Model Evaluation Metrics: Accuracy, Precision, Recall, F1 Score
Hands-on: Building and Evaluating Models with Scikit-Learn
Deep Learning and Neural Networks
- Introduction to Neural Networks and Deep Learning
- Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs)
- Frameworks: TensorFlow and PyTorch Overview
- Hands-on: Implementing a Simple Neural Network
AI/ML Applications and Industry Trends
- Real-world Applications of AI/ML in Various Industries
- Emerging Trends and Future Directions in AI/ML
- Ethical Considerations and Challenges in AI/ML
- Hands-on: Building a Mini Project or Case Study Analysis