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AI & Business Analytics Training with Real-Time Projects

Artificial Intelligence with Business Analytics Program

Learn Artificial Intelligence, Data Analytics & Business Intelligence for Modern Enterprises

Build practical expertise in artificial intelligence, data analytics, and business intelligence with real-time projects. Gain job-ready skills to solve business problems using data-driven insights and AI-powered decision making.

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Batch Details & Schedule

Choose a learning format and schedule that fits your lifestyle

Next Batch Starts

18th May 2026

Session Time

07:20 AM to 08:20 AM

Course Duration

45 days, 70 hours

Download Complete Curriculum

Course Features & Highlights

Everything you need to become a successful AI & ML professional

Live Projects

Work on real-world projects from day one with industry use cases

Expert Trainers

Learn from industry professionals with 10+ years of experience

100% Placement Support

Dedicated placement cell with assistance until you get hired

Industry Certification

Get certified and boost your resume with recognized credentials

LMS Access

Access to learning materials and recorded sessions

Mock Interviews

Weekly mock interviews to prepare you for real job scenarios

Resume Building

Professional resume preparation and LinkedIn profile optimization

Soft Skills Training

Communication, aptitude, and personality development sessions

Complete Course Curriculum

Comprehensive modules covering every aspect of Artificial Intelligence with Business Analytics

  • Module 1: Fundamentals of AI & Business Analytics
    • Introduction to Artificial Intelligence
      • Artificial Intelligence Fundamentals
      • Machine Learning Basics
      • AI Applications in Business
      • Data-Driven Decision Making
    • Introduction to Business Analytics
      • Business Analytics Concepts
      • Types of Analytics
      • Data Analysis Fundamentals
      • Business Intelligence Overview
    • Python for Analytics
      • Python Basics
      • NumPy & Pandas
      • Data Handling Techniques
      • Data Visualization Basics
  • Module 2: Data Analysis & Visualization
    • Data Preprocessing
      • Data Cleaning Techniques
      • Handling Missing Values
      • Data Transformation
      • Data Normalization
    • Exploratory Data Analysis (EDA)
      • Data Visualization
      • Pattern Analysis
      • Correlation Analysis
      • Business Insights Generation
    • Visualization Tools
      • Matplotlib
      • Seaborn
      • Power BI Basics
      • Dashboard Concepts
  • Module 3: Machine Learning for Business Analytics
    • Supervised Learning
      • Linear Regression
      • Logistic Regression
      • Decision Trees
      • Random Forest
    • Unsupervised Learning
      • Clustering Techniques
      • Customer Segmentation
      • Pattern Discovery
    • Model Evaluation
      • Accuracy Metrics
      • Precision & Recall
      • Cross Validation
      • Performance Optimization
  • Module 4: AI-Powered Business Solutions
    • Predictive Analytics
      • Sales Forecasting
      • Demand Prediction
      • Risk Analysis
      • Business Trend Analysis
    • Customer Analytics
      • Customer Segmentation
      • Customer Churn Prediction
      • Recommendation Systems
    • Financial Analytics
      • Fraud Detection
      • Revenue Analysis
      • Profitability Forecasting
  • Module 5: Natural Language Processing for Business
    • NLP Fundamentals
      • Text Preprocessing
      • Sentiment Analysis
      • Text Classification
    • Business NLP Applications
      • Customer Feedback Analysis
      • Review Analysis
      • AI Chatbots for Business
      • Automated Reporting Systems
  • Module 6 : Real-World Business Analytics Projects
    • Business Intelligence Projects
      • Sales Dashboard Development
      • Customer Analytics System
      • Business Performance Analysis
    • AI & ML Projects
      • Market Prediction Models
      • AI-Based Recommendation Systems
      • Business Forecasting Models
    • Automation Projects
      • Automated Reporting
      • Workflow Automation
      • AI-Based Data Processing
  • Module 7: Practical Implementation & Interview Preparation
    • Hands-On Practical Sessions
      • End-to-End Analytics Projects
      • Real-Time Case Studies
      • Dashboard Development
    • Interview Preparation
      • Business Analytics Interview Questions
      • AI & ML Concepts
      • Mock Interviews
      • Resume Building Support

Prerequisites & Eligibility

Course Prerequisites
Basic understanding of programming concepts and Python fundamentals is beneficial
Dedication to complete hands-on labs, case studies, and capstone projects
Commitment for the program duration (45 days, 70 hours)

Certification

Get industry-recognized certification that validates your skills and boosts your career prospects

  • Industry-recognized Artificial Intelligence with Business Analytics course completion certificate from Avowal Data Systems
  • Digital certificate with a unique verification ID for easy authenticity checks
  • Covers AI fundamentals, business analytics, predictive analytics, data visualization, BI tools, NLP for business, and real-world analytics projects
  • Shareable on LinkedIn, resumes, portfolios, and other professional platforms
  • Valid proof of practical AI, analytics, and business intelligence skill development for employers and hiring teams
  • Includes project-based learning recognition and full course syllabus coverage
Frequent Questions

Find answers to common questions about our Artificial Intelligence with Business Analytics training program

  • What will I learn in this Artificial Intelligence with Business Analytics course?

    This course covers AI fundamentals, business analytics, predictive analytics, customer analytics, financial analytics, NLP for business, data visualization, dashboards, and real-world business intelligence projects.

  • Is prior programming knowledge required for an AI with Business Analytics course?

    Basic programming knowledge is helpful, especially Python fundamentals, but the course starts from core concepts and gradually moves into analytics, machine learning, AI applications, and business intelligence workflows.

  • Does this course include hands-on projects and practical sessions?

    Yes, the program includes hands-on practical sessions, end-to-end analytics projects, dashboard development, real-time case studies, predictive analytics projects, and AI-driven business reporting workflows.

  • Will I learn tools like Power BI, Python, and analytics libraries?

    Yes. The curriculum includes Python, NumPy, Pandas, Matplotlib, Seaborn, Power BI basics, dashboard concepts, and practical tools used for analytics, visualization, and business decision support.

  • What career opportunities are available after completing AI with Business Analytics training?

    After completing this training, learners can pursue roles such as Business Analyst, Data Analyst, BI Developer, AI Analyst, Analytics Consultant, Machine Learning Associate, and Decision Intelligence Specialist.