Corporate Training

Corporate Training Training in Tambaram (New Perungalthur) | Rehobothshebah Academy

Become an Industry-Ready AI & Data Analytics Professional

Master Python, Machine Learning, Data Visualization, and AI tools through hands-on, real-world training.

Beginner-friendly | Job-Oriented | Live Projects | Certification Included

👉 Enroll Now – Limited Seats Available

About the Program

Rehobothshebah Academy offers a comprehensive, industry-aligned AI with Python & Data Analytics program designed to equip learners with strong skills in Programming, Data Analysis, Machine Learning, and AI Deployment.

Whether you’re a student, working professional, or business leader, our training helps you build real-world expertise through practical projects and corporate-grade assignments.

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    Key Highlights

    • ✔ 100% Practical Hands-on Training

    • ✔ Beginner to Advanced Curriculum

    • ✔ Live & Instructor-led Sessions

    • ✔ Portfolio Projects & Case Studies

    • ✔ Interview Preparation & Resume Support

    • ✔ Corporate Training Available

    • ✔ Industry-recognized Certificate

    • ✔ Flexible Weekend & Weekday Batches

    Who Can Join?

    • Students & Graduates

    • Working Professionals (IT & Non-IT)

    • Entrepreneurs & Startup Teams

    • Data Analysts, BI Developers

    • Anyone transitioning into AI/Data roles

    Corporate Training Offering

    Rehobothshebah Academy delivers customized AI & Data Analytics training for organizations.

    Corporate Training Benefits

    • Tailor-made curriculum for your business

    • On-site or virtual delivery

    • Real-project integration

    • Employee productivity enhancement

    • Post-training assessment & support

    Training Suitable For:

    • IT Teams

    • Business & Finance Teams

    • HR & Operations Teams

    • Startups implementing AI

    Course Syllabus – AI with Python & Data Analytics

    MODULE 1: Python Programming Foundation

    • Introduction to Python

    • Python installation & IDE setup

    • Variables, Data Types, Operators

    • Conditional Statements & Loops

    • Functions & Modules

    • File Handling

    • Exception Handling

    • Working with APIs

    • Hands-on Exercises & Mini Projects


    MODULE 2: Data Analytics Fundamentals

    • Introduction to Data Analytics

    • Data types, data collection & cleaning

    • Working with NumPy

    • Data manipulation using Pandas

    • Aggregations, merging, grouping

    • Data preprocessing techniques

    • Exploratory Data Analysis (EDA)

    • Real-time Data Cleaning Project


    MODULE 3: Data Visualization

    • Introduction to data visualization concepts

    • Matplotlib & Seaborn

    • Interactive dashboards with Plotly

    • Building business dashboards with Power BI/Tableau

    • Visualization best practices

    • Storytelling with data

    • Visualization Project (Business Dashboard)


    MODULE 4: Statistics & Probability for Data Science

    • Descriptive statistics

    • Inferential statistics

    • Probability & distributions

    • Hypothesis testing

    • Correlation & regression

    • Statistical analysis project


    MODULE 5: SQL for Data Analytics

    • SQL basics & advanced queries

    • Joins, subqueries, window functions

    • Data extraction & transformation

    • Connecting SQL with Python

    • SQL mini-project


    MODULE 6: Machine Learning with Python

    • Machine Learning Basics

    • Supervised vs Unsupervised Learning

    • Algorithms:

      • Linear & Logistic Regression

      • Decision Trees & Random Forest

      • KNN, SVM

      • Clustering (K-means, DBSCAN)

    • Model evaluation & tuning

    • Feature engineering

    • ML Project (Classification/Regression)


    MODULE 7: Deep Learning & Neural Networks (Optional Add-on)

    • Introduction to Neural Networks

    • TensorFlow/Keras basics

    • ANN, CNN, RNN overview

    • Hands-on deep learning project


    MODULE 8: AI Tools & Automation

    • Introduction to Generative AI

    • Using AI tools for automation

    • Prompt engineering basics

    • ChatGPT, Copilot, Gemini integrations

    • AI-assisted analysis project


    MODULE 9: Deployment & Real-World Applications

    • Saving & exporting models

    • Deploying ML models

    • Streamlit & Flask for AI apps

    • End-to-end AI project development

    Final Project & Certification

    • Capstone Project Presentation

    • Project Documentation

    • Rehobothshebah Academy Certification

    • Portfolio & Resume Building

    FAQs (Frequently Asked Questions)

    Do I need prior programming experience?

    No. The course starts from beginner level and gradually moves to advanced topics.

    Is certification provided?

    Yes. You will receive an industry-recognized certificate from Rehobothshebah Academy.

    Are there live projects?

    Yes. Every module includes hands-on projects plus a capstone project.

    What is the course duration?

    Typical duration: 2–3 months (customizable for corporate batches).

    Do you provide placement assistance?

    Yes. Resume building, interview preparation, and job updates are provided.

    Can I get a demo session?

    Yes. A free demo class is available upon request.

    Is the training available online and offline?

    Both options are available (depending on location).

    Join Tambaram’s Leading Corporate Training Academy

    Boost your communication skills, confidence, and professional presence through practical, hands-on training at Rehobothshebah Academy.
    We empower you to communicate better, lead stronger, and succeed faster.