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KHDA

Artificial Intelligence Course

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

GoogleGoogle4.9/5
5275 EnrolledEnrolled Learners
GoogleGoogle4.9/5
5275 EnrolledEnrolled Learners

Overview

What will you learn from us:

  • Build foundational capability in Artificial Intelligence, Machine Learning, and Data Science
  • Apply Python programming for analytics, automation, and AI workflows
  • Utilise Claude AI for research, productivity, and decision-making
  • Analyse business data using statistical and predictive techniques
  • Create data visualisations and business intelligence dashboards using Power BI
  • Build machine learning models for forecasting and prediction
  • Integrate predictive analytics with Power BI reporting solutions
  • Solve real-world business challenges through AI-driven insights

Upcoming sessions

Curriculum

1

What is AI, ML, and GenAI

2

AI vs Human Intelligence

3

History and Evolution of AI

4

Current AI Tools Landscape

5

Real-World Business Applications

6

ChatGPT, Claude, Gemini Overview

AI Integration

AI Integration

  • Compare AI platforms for different business use cases
  • Evaluate AI adoption opportunities across departments and business functions
Activities/Case Study

Activities/Case Study

How Organizations Are Using AI to Improve Productivity, Customer Experience, and Decision-Making

1

Introduction to Claude.ai Interface

2

Prompt Engineering Fundamentals

3

Writing Effective Prompts for Business

4

Document Summarization & Drafting

5

Claude for Research and Analysis

6

Claude vs ChatGPT Practical Comparison

AI Integration

AI Integration

  • Create role-specific AI workflows for business productivity
  • Utilise Claude for research, content creation, documentation, and analytical support
Activities/Case Study

Activities/Case Study

Automating Meeting Summaries, Research Notes, and Email Drafts Using Claude

1

Python Syntax, Variables, Data Types

2

Conditional Statements and Loops

3

Functions and Lambda Functions

4

Lists, Tuples, Dictionaries, Sets

AI Integration

AI Integration

  • Generate Python code snippets for analytical tasks
  • Automate repetitive data processing workflows
Activities/Case Study

Activities/Case Study

Business Automation with Python for Management Workflows

1

Jupyter/Colab Usage

2

NumPy Arrays, Indexing, Reshaping

3

Vectorized Operations

4

Numerical Computation Workflows

AI Integration

AI Integration

  • Optimise numerical computations using AI-assisted coding
  • Accelerate data analysis through intelligent code generation
Activities/Case Study

Activities/Case Study

Logistics Optimization Using NumPy

1

Load, Clean, and Merge Data

2

Handling Missing Values

3

Filtering and Slicing

4

Groupby Operations

AI Integration

AI Integration

  • Automate data cleaning and preparation tasks
  • Generate data transformation recommendations
Activities/Case Study

Activities/Case Study

Merging Excel Reports Across Departments

1

Mean, Median, Variance, Standard Deviation

2

Skewness and Kurtosis

3

Probability Rules and Distributions

4

Business Interpretation

AI Integration

AI Integration

  • Interpret statistical outputs and trends
  • Generate business-focused statistical insights
Activities/Case Study

Activities/Case Study

Retail & HR Statistical Analysis

1

Central Limit Theorem

2

Confidence Intervals

3

t-tests, Chi-Square, ANOVA

4

Correlation vs Causation

AI Integration

AI Integration

  • Validate statistical assumptions and test outcomes
  • Interpret hypothesis testing results effectively
Activities/Case Study

Activities/Case Study

Business Hypothesis Testing and Feature Engineering

1

Histograms, Bar Plots, Box Plots

2

Heatmaps and Correlation Plots

3

Seaborn Styling

4

Visualization Best Practices

AI Integration

AI Integration

  • Recommend suitable visualization techniques
  • Enhance storytelling through AI-generated insights
Activities/Case Study

Activities/Case Study

Retail Sales Data Visualization

1

Feature Engineering

2

Scaling and Encoding

3

Outlier Treatment

4

Pattern Identification

5

Data Exploration Workflows

AI Integration

AI Integration

  • Identify patterns and anomalies in datasets
  • Support feature engineering and data exploration
Activities/Case Study

Activities/Case Study

Sales and Finance Data Exploration

1

Supervised vs Unsupervised Learning

2

ML Workflow

3

Model Evaluation Metrics

4

Business Applications

AI Integration

AI Integration

  • Compare machine learning approaches and use cases
  • Interpret model performance and outcomes
Activities/Case Study

Activities/Case Study

Employee Attrition Prediction

1

Linear Regression

2

Logistic Regression

3

Model Evaluation

4

ROC-AUC and Confusion Matrix

AI Integration

AI Integration

  • Interpret regression outputs and predictions
  • Evaluate model accuracy and business relevance
Activities/Case Study

Activities/Case Study

Sales and Revenue Prediction

1

Decision Trees

2

Random Forest

3

KNN Algorithm

4

Model Tuning

5

Predictive Modeling

AI Integration

AI Integration

  • Compare classification model performance
  • Support predictive decision-making workflows
Activities/Case Study

Activities/Case Study

Loan Eligibility Prediction Model

1

K-Means Clustering

2

Hierarchical Clustering

3

PCA

4

Feature Reduction

5

Segmentation Models

AI Integration

AI Integration

  • Generate customer and business segment insights
  • Support feature reduction and pattern discovery
Activities/Case Study

Activities/Case Study

Customer Segmentation Model

1

Data Integration

2

Power Query Transformations

3

Visual Dashboards

4

KPI Tracking

5

Reporting Workflows

6

Data Modeling

7

DAX Calculations

8

Multi-Page Dashboards

9

Forecasting Models

10

Dashboard Optimization

AI Integration

AI Integration

  • Enhance dashboard insights using AI recommendations
  • Automate KPI monitoring and reporting analysis
  • Improve forecasting accuracy through AI insights
  • Optimise dashboards for executive decision-making
Activities/Case Study

Activities/Case Study

HR Attrition Dashboard Finance Dashboard with Forecasting

1

Export ML Results

2

Dashboard Integration

3

Predictive Visualization

4

Data Storytelling

5

Business Intelligence Workflows

AI Integration

AI Integration

  • Integrate predictive models into business dashboards
  • Generate actionable insights from machine learning outputs
Activities/Case Study

Activities/Case Study

Telecom Churn Prediction Dashboard

1

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.

2

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.

3

The simulation integrates data preparation, statistical analysis, machine learning implementation, predictive modelling, business intelligence reporting, dashboard development, forecasting exercises, and executive insight generation activities.

4

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.

Meet your Trainer

Our Trainers

Learners Point has a reputation for high-quality training that makes a difference in people's lives. We undertake a practical and innovative approach to working closely with businesses to improve their workforce. Our expertise is wide-ranging with ample support from our expert trainers who are globally recognized and hold a diverse set of experiences in their field of expertise. We are proud of our instructors who take ownership of our distinctive and comprehensive training methodologies, help our students imbibe those with ease, and accomplish gracefully.

We at Learners Point believe in encouraging our students to embark upon a journey of lifelong learning and self-development, with the aid of our comprehensive and distinctive courses tailored to current market trends. The manifestation of our career-oriented approach is what we assure through a pleasant professional enriched environment with cutting-edge technology, and an outstanding while highly acknowledged training staff that uses up-to-date methodologies and quality course material. With our aim to mold professionals to be future leaders, our industry expert trainers provide the best in town mentorship to our students while endowing them with the thirst for knowledge and inspiring them to strive for professional and human excellence.

Our Trainers

Learning Outcomes

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

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  • Learners Point Certificate

    Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.

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    Frequently asked questions

    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:

    • Comprehensive curriculum covering AI, Machine Learning, Data Science, and Business Intelligence
    • Hands-on Python programming and machine learning implementation exercises
    • Practical Claude AI integration for productivity, research, and analytical workflows
    • Real-world projects, case studies, and industry simulation for practical application
    • Power BI dashboard development and predictive analytics training
    • Flexible classroom and live online learning options for working professionals

    Do you want to learn more about Learners Point Academy?

    • Learn more about courses
    • Understand about our methodology
    • Let’s talk about Corporate trainings
    • Anything else that you want to know, we are here for you!

    Let's chat!

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