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Course Highlights

  • No-Code AI & BI Training – Master AI-powered business intelligence without coding, designed for learners from any background.
  • Hands-on Learning Approach – Work on real-world datasets and AI-driven BI solutions.
  • Industry-Relevant Curriculum – Learn BI, Generative AI, predictive analytics, and visualization.
  • AI Tutor for BI Learning – Get instant support from an AI tutor trained to teach BI and clear doubts.
  • Best of Industry BI & AI Tools – Gain experience with Power BI, Open AI, Claude, Dataiku, Akkio, Apache Superset, Emly Labs, and lot more.
  • Free Audit Course Option – Try before you buy; explore the course for free before purchasing.
  • Capstone Project & Portfolio – Solve a real business problem and showcase your expertise.
  • Flexible, Self-Paced Learning – 120-hour program designed for busy professionals.
  • Career Boosting Skills – Job-ready training with resume building using Generative AI.
  • AI-Driven Decision Making – Learn to extract actionable insights for business impact.
  • Expert Mentorship – Get guidance from AI & BI professionals via email support.

  • Skill Type

  • Course Duration

  • Domain

  • GOI Incentive applicable

  • Course Category

  • Nasscom Assessment

  • Placement Assistance

  • Certificate Earned

  • Content Alignment Type

  • NOS Details

  • Mode of Delivery

Course Details

Learning Objectives

What will you learn in Modern Business Intelligence with No-Code AI?

  • Understand Business Intelligence & AI – Grasp key BI concepts, AI applications in business, and how AI enhances decision-making.
  • Work with No-Code AI Tools – Utilize platforms like Power BI, Dataiku, Apache Superset, Emly Labs, and more without coding.
  • Collect, Prepare & Manage Data – Import, clean, and preprocess business data for analysis and reporting.
  • Perform Statistical Analysis – Apply probability, hypothesis testing, regression, and other statistical techniques in BI.
  • Build Predictive Models – Use classification, regression, and clustering techniques to forecast trends and segment data.
  • Leverage Generative AI – Apply Generative AI and RAG-based chatbots for automated insights and business automation.
  • Visualize & Present Data – Create interactive dashboards, generate actionable reports, and present findings effectively.
  • Align BI with Business Goals – Translate data-driven insights into strategic business decisions./li>
  • Work on Real-World Projects – Solve practical BI problems and build a capstone project to showcase expertise.
  • Prepare for a Career in BI – Gain job-ready skills, build a professional CV using Generative AI, and explore career opportunities in Business Intelligence & AI
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Reasons to enrol

Why you should take Modern Business Intelligence with No-Code AI?

  • High Demand for AI-Powered BI Skills – Companies are rapidly integrating AI into business intelligence, and professionals who can leverage AI-driven insights are in high demand.
  • No Technical Barriers – This course is designed for learners from any background, eliminating the need for coding skills and making AI-powered BI accessible to all.
  • AI is Reshaping Business Analysis – AI-driven predictive modeling, data visualization, and automation are transforming how businesses make decisions. Stay ahead by mastering these technologies.
  • Generative AI is the Future – Businesses are increasingly using Generative AI and BI chatbots to improve decision-making. Learn how to implement AI-driven automation in your workflows.
  • Job Market Advantage – BI & AI skills are now considered essential for business analysts, with salaries increasing for professionals skilled in AI-powered data analysis.
  • Hands-on, No-Code Learning – Gain practical experience with Power BI, Dataiku, Apache Superset, Emly Labs, and more—without writing a single line of code.
  • Remote Work & AI-Based Jobs are Rising – With businesses embracing remote work and automation, professionals with AI-powered BI expertise have a strong career advantage.
  • Data-Driven Decision-Making is a Must – In today’s competitive market, making data-backed business decisions is critical. This course teaches you real-world BI strategies to drive business success.
  • Flexible & Self-Paced – Whether you're a working professional, student, or career changer, this course lets you learn at your own pace without disrupting your schedule.
  • Try Before You Buy – Audit the course for free and experience the learning process before committing.
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Ideal Participants

Who should take Modern Business Intelligence with No-Code AI?

  • Students & Career Explorers (BBA, BCA, MBA, MCA, & More) – Build a strong AI foundation early, explore career paths, and make informed decisions.
  • Working Professionals – Enhance job performance, optimize decision-making, and stay competitive with AI-driven insights.
  • First-Time Job Seekers – Gain in-demand AI & BI skills to stand out in the job market and increase earning potential.
  • Entrepreneurs & Business Owners – Leverage AI-powered BI for smarter decision-making, automation, and business growth.
  • Marketing & Sales Professionals – Use AI for customer segmentation, trend analysis, and data-driven marketing strategies.
  • Finance & Operations Analysts – Apply AI in financial forecasting, risk analysis, and operational efficiency.
  • Data Enthusiasts & Analysts – Learn predictive modeling, statistical analysis, and AI-powered data visualization.
  • Consultants & Freelancers – Offer AI-driven BI solutions to clients without needing coding expertise.
  • Business Leaders & Executives – Understand AI-powered BI to strategize, lead AI initiatives, and drive digital transformation.
  • Non-Tech Industry Professionals – Master BI & AI tools to future-proof careers and transition into data-driven roles.
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Curriculum

The Modern Business Intelligence with No-Code AI course is a 120-hour, 12-week program designed to equip professionals, students, and job seekers with AI-powered business intelligence skills—without coding. This hands-on course provides a practical, step-by-step approach to learning data collection, visualization, predictive modeling, and AI-driven decision-making.

By the end of the course, you will:

  • Master AI-powered BI tools like Power BI, Dataiku, Apache Superset, Emly Labs, and more.
  • Build predictive models, AI chatbots, and interactive dashboards without coding.
  • Gain job-ready BI & AI skills and complete a real-world capstone project.
  • Become career-ready with resume-building and industry insights.

Introduction & Data Preparation

  • Module 1: Overview of Business Intelligence – BI & AI fundamentals.
  • Module 2: BI in Action – Real-world applications & predictive modeling.
  • Module 3: Introduction to Generative AI – Prompt engineering & AI applications.
  • Module 4: Data Collection & Preparation – Importing, cleaning, and preprocessing data.

Data Exploration & Statistical Analysis

  • Module 5: Exploring Data – Descriptive statistics & EDA.
  • Module 6: Data Visualization – Charts, dashboards, and visual storytelling.
  • Module 7: Basic Statistical Concepts – Probability & regression basics.
  • Module 8: Hypothesis Testing & Inference – Making AI-powered business decisions.

Predictive Modeling & Advanced AI

  • Module 9: Classification Models – Customer segmentation & fraud detection.
  • Module 10: Regression for Forecasting – Sales & demand prediction.
  • Module 11: Clustering & Segmentation – Market & customer insights.
  • Module 12: Building a BI Chatbot – AI-driven Retrieval-Augmented Generation (RAG) for BI.

BI Reporting & Strategic Decision-Making

  • Module 13: Creating Business Reports – BI storytelling & reporting.
  • Module 14: Presentation Skills – Communicating AI-driven insights.
  • Module 15: Aligning BI with Business Goals – AI for strategic decisions.
  • Module 16: Actionable Insights – Converting BI analysis into business impact.

Week 9-11: Capstone Project (30 Hours)

  • Module 17: Apply AI & BI knowledge to solve a real-world business problem with mentorship support.

Week 12: Career Development & Future Trends

  • Module 18: Career Pathways – Resume building with Generative AI & job market readiness.
  • Module 19: BI Trends & Continuous Learning – Staying ahead in AI-driven BI.
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skills and tools

Skills You Will Learn

  • Business Intelligence (BI) Concepts – Understanding AI-powered BI and decision-making.
  • Data Collection & Preparation – Importing, cleaning, and preprocessing structured & unstructured data.
  • Exploratory Data Analysis (EDA) – Descriptive statistics, correlation analysis, and data summarization.
  • Data Visualization & Dashboarding – Creating interactive visual reports and dashboards.
  • Statistical Analysis & Hypothesis Testing – Applying probability, regression, and inference techniques.
  • Predictive Modeling – Classification, regression, clustering, and segmentation for business insights.
  • Generative AI & RAG Chatbots – Leveraging AI-powered chatbots and Retrieval-Augmented Generation (RAG).
  • AI-Powered Decision Making – Aligning business goals with AI-driven insights.
  • BI Reporting & Storytelling – Communicating data insights effectively for stakeholders.
  • AI & BI for Strategic Planning – Mapping AI capabilities to business challenges.
  • No-Code AI Development – Implementing AI solutions without programming knowledge.
  • Career Readiness – Resume building using Generative AI and job market preparation.

Tools You Will Work With

  • Power BI – BI reporting and interactive dashboards.
  • Dataiku – No-code AI & machine learning for data analytics.
  • Apache Superset – Open-source BI & data visualization.
  • Emly Labs – No-code AI-powered BI workflows.
  • Akkio – Predictive modeling and AI automation.
  • Teachable Machine – AI model training without coding.
  • Zapier – Workflow automation and AI integration.
  • Microsoft Excel & Google Sheets – Data processing, analysis, and visualization.
  • OpenAI (ChatGPT, GPT Models) – Generative AI for automation & insights.
  • Claude AI – AI-based decision-making and business automation.
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