Artificial Intelligence, Machine Learning, Deep Learning

HRDC Reg. No: 10001553480
Duration: 5 Days (35 Hours)

Course Overview

This 5-day practical training offers a complete foundation in Machine Learning using Python, blending theory with real-world implementation. Participants will learn data preprocessing, visualization, supervised and unsupervised learning, ensemble methods, and deep learning with TensorFlow and Keras. Ideal for professionals aiming to build deployable ML models, the course concludes with a capstone project and emphasizes model tuning, explainability, and production readiness.

Who Should Attend

• Data Analysts and Data Scientists

• Python Developers transitioning into ML

• AI/ML Engineers and Automation Developers

• Technical Leads and Software Engineers in analytics

Why Choose This Course

This HRDC claimable course (Reg. No: 10001553480) equips participants with production-ready ML skills using Python, Scikit-learn, TensorFlow, and Keras. From data prep to model deployment, it focuses on performance, validation, and real-world use cases across industries like finance, healthcare, retail, and IoT.

Learning Outcomes

By the end of this course, participants will be able to:

• Identify appropriate ML use cases across industries

• Clean, preprocess, and visualize data using Pandas, Numpy, Matplotlib, and Seaborn

• Build, evaluate, and tune regression and classification models

• Apply clustering, PCA, and other unsupervised techniques

• Conduct sentiment and topic modeling using NLP

• Develop and train deep learning models with TensorFlow and Keras

• Optimize and deploy ML models as web services

Teaching Methodology

• Concept-first explanation with live coding

• Daily hands-on labs using real-world datasets

• Capstone project and optional assessments

• Case studies across industries

• Group discussions and code reviews