35-hour AI, ML & Data Science training program
Python, Pandas, NumPy & statistical analytics workshops
Claude AI-powered prompt engineering & automation training
Real-world case studies, simulations & AI-enabled business scenarios
Flexible classroom & live online learning options
What will you learn from us:
Upcoming sessions
What is AI, ML, and GenAI
AI vs Human Intelligence
History and Evolution of AI
Current AI Tools Landscape
Real-World Business Applications
ChatGPT, Claude, Gemini Overview
How Organizations Are Using AI to Improve Productivity, Customer Experience, and Decision-Making
Introduction to Claude.ai Interface
Prompt Engineering Fundamentals
Writing Effective Prompts for Business
Document Summarization & Drafting
Claude for Research and Analysis
Claude vs ChatGPT Practical Comparison
Automating Meeting Summaries, Research Notes, and Email Drafts Using Claude
Python Syntax, Variables, Data Types
Conditional Statements and Loops
Functions and Lambda Functions
Lists, Tuples, Dictionaries, Sets
Business Automation with Python for Management Workflows
Jupyter/Colab Usage
NumPy Arrays, Indexing, Reshaping
Vectorized Operations
Numerical Computation Workflows
Logistics Optimization Using NumPy
Load, Clean, and Merge Data
Handling Missing Values
Filtering and Slicing
Groupby Operations
Merging Excel Reports Across Departments
Mean, Median, Variance, Standard Deviation
Skewness and Kurtosis
Probability Rules and Distributions
Business Interpretation
Retail & HR Statistical Analysis
Central Limit Theorem
Confidence Intervals
t-tests, Chi-Square, ANOVA
Correlation vs Causation
Business Hypothesis Testing and Feature Engineering
Histograms, Bar Plots, Box Plots
Heatmaps and Correlation Plots
Seaborn Styling
Visualization Best Practices
Retail Sales Data Visualization
Feature Engineering
Scaling and Encoding
Outlier Treatment
Pattern Identification
Data Exploration Workflows
Sales and Finance Data Exploration
Supervised vs Unsupervised Learning
ML Workflow
Model Evaluation Metrics
Business Applications
Employee Attrition Prediction
Linear Regression
Logistic Regression
Model Evaluation
ROC-AUC and Confusion Matrix
Sales and Revenue Prediction
Decision Trees
Random Forest
KNN Algorithm
Model Tuning
Predictive Modeling
Loan Eligibility Prediction Model
K-Means Clustering
Hierarchical Clustering
PCA
Feature Reduction
Segmentation Models
Customer Segmentation Model
Data Integration
Power Query Transformations
Visual Dashboards
KPI Tracking
Reporting Workflows
Data Modeling
DAX Calculations
Multi-Page Dashboards
Forecasting Models
Dashboard Optimization
HR Attrition Dashboard Finance Dashboard with Forecasting
Export ML Results
Dashboard Integration
Predictive Visualization
Data Storytelling
Business Intelligence Workflows
Telecom Churn Prediction Dashboard
Participants assume the role of AI and Analytics Professionals supporting a large-scale enterprise transformation initiative where business leaders require predictive insights, operational intelligence, automated reporting, and data-driven decision-making capabilities.
Working across multiple business functions, participants analyse datasets, develop machine learning models, create business intelligence dashboards, evaluate analytical outcomes, and support strategic initiatives aligned with organizational objectives.
The simulation integrates data preparation, statistical analysis, machine learning implementation, predictive modelling, business intelligence reporting, dashboard development, forecasting exercises, and executive insight generation activities.
Participants apply Artificial Intelligence, Data Science, Machine Learning, and Business Intelligence techniques to solve business challenges, communicate analytical findings, and support enterprise-wide decision-making and performance improvement initiatives.
After finishing this training program, you will be able to:
1
Develop end-to-end AI and data-driven decision-making capability
2
Build machine learning models for business forecasting and insights
3
Interpret complex datasets using statistical and analytical methodologies
4
Generate actionable business intelligence through advanced dashboard reporting
5
Automate analytical workflows using Python and AI-powered tools
6
Deliver strategic recommendations through predictive analytics and visualisation
Overall ratings by our students
Learn now, pay later
Dive into your course now and pay in installments


The Artificial Intelligence Training covers the essential disciplines required to build modern AI, Machine Learning, Data Science, and Business Intelligence capabilities. Participants learn Python programming, data preparation, statistical analysis, data visualisation, exploratory data analysis (EDA), and machine learning techniques used to solve real-world business challenges.
This program also explores Claude AI, predictive analytics, forecasting models, and Power BI dashboard development for business reporting and performance monitoring. Through practical exercises, case studies, simulations, and AI-enabled workflows, participants gain the skills to transform data into actionable insights and automate analytical processes.
Yes, this Artificial Intelligence Course supports career advancement by building practical skills in AI, ML, Data Science, predictive analytics, and Business Intelligence. As organizations adopt AI-driven technologies, professionals with the ability to analyse data, build predictive models, and generate business insights are becoming highly valuable across industries.
Through hands-on experience in Python programming, machine learning workflows, Power BI dashboard development, and Claude AI-powered analytics, participants strengthen their technical and analytical capabilities. These in-demand skills can help professionals take on greater responsibilities in modern AI roles.
Claude AI is integrated throughout the training to help participants understand how Artificial Intelligence can enhance productivity, research, analysis, and decision-making. Participants learn prompt engineering, document summarisation, content generation, research support, and AI-assisted workflows that can be applied across various business functions.
This training program also shows how Claude AI can support data analysis, analytical interpretation, workflow automation, and insight generation. By using AI alongside Python, ML, Data Science, and BI tools, participants gain practical experience in applying AI to improve efficiency and accelerate business outcomes.
No, prior experience in AI is not required to enrol in this training program. The course begins with foundational concepts in Artificial Intelligence, Machine Learning, Generative AI, and AI tools, helping participants build knowledge progressively through a structured learning approach.
As the program advances, participants develop practical skills in Python programming, Data Science, BI, and ML through hands-on exercises, projects, and real-world business applications. This makes the training suitable for professionals looking to build AI capabilities from the ground up.
The course combines Artificial Intelligence and Business Intelligence by teaching participants how to transform data into meaningful insights using analytics, machine learning, and reporting tools. Participants learn to analyse datasets, build predictive models, and generate forecasts that support informed business decisions.
The program also covers Power BI dashboard development, KPI monitoring, data visualisation, and machine learning integration. By connecting AI-driven predictions with business reporting, participants gain the ability to deliver actionable insights that improve performance and strategic decision-making.
The Industry Simulation allows participants to apply AI, ML, Data Science, and BI concepts in a realistic business environment. It bridges the gap between theory and practice by presenting scenarios that reflect modern organizational challenges and data-driven decision-making requirements.
During the simulation, participants analyse datasets, develop predictive models, create dashboards, and generate business insights. This practical experience strengthens problem-solving abilities and helps participants understand how AI-powered solutions can support operational performance, reporting effectiveness, and strategic business objectives.
This Artificial Intelligence Training at Learners Point combines practical learning with industry-relevant applications. This program focuses on workplace-ready skills that support modern analytics and AI-driven initiatives. Here is why you should choose Learners Point: