• Prof. Biranchi Narayan Rath(Silicon University)
• Dr. Mahindra Joshi, Industry Expert
• Anand Rath, Industry Expert
• Prof. AmulyaRoul (Silicon University)

• Proficient Python Programming: Develop proficiency in Python programming for implementing machine learning and deep learning models effectively.
• Solid Foundation: Gain a strong understanding of the fundamental concepts, techniques, and algorithms of machine learning and deep learning.
• Practical Application: Apply supervised and unsupervised machine learning algorithms as well as design, train, and fine-tune neural networks for real-world applications.
• Data Handling and Evaluation: Learn to handle and preprocess real-world datasets, evaluate model performance using appropriate metrics, and make informed decisions based on the results.

Ethical Considerations and Industry Readiness: Understand the ethical implications of machine learning and deep learning, and be prepared to apply the acquired skills in various industry contexts.

• Introduction to Python programming for data science, machine learning and deep learning
• Data handling, manipulation, and visualization using Python libraries
• Supervised learning algorithms and model training
• Unsupervised learning techniques for clustering and dimensionality reduction
• Deep learning fundamentals, neural networks, and architecture design
• Practical implementation of deep learning models using Python frameworks (e.g., TensorFlow)
• Real-time data processing and integration into machine learning pipelines
• Capstone project

• Online Live Class/Classroom Teaching.
• Doubt Clearing Session.
• Hands-on lab practices
• Sharing of recording of each class

Sharing of print/on-line materials (slide/videos/text) for referral study.