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Data Analytics with Generative AI Course

Start Your AI Career Even If You Have No Experience

Learn Data Analytics with AI and build real AI applications using tools like ChatGPT and automation. Work on real projects and get placement support to become job ready in AI roles. rating Reserve Your Seat
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Generative AI Course UK
More than

40%

Average Salary Growth

Our students learn real AI skills and build powerful applications. They gain confidence to work on AI projects and apply for jobs in the UK.

Reserve Your Seat
What You Will Learn

Skills That Companies Need in AI and Generative AI

Generative AI and GPT

Generative AI and GPT Tools

Learn how to use tools like ChatGPT and GPT models to build AI applications.

AI Automation and Data Analytics

AI Automation and Data Analytics

Use AI with data to automate tasks and create smart solutions for businesses.

certificate

Industry Recognised Generative AI Certificate

AI Students
// Course Highlights

Everything You Need to
Build AI Applications

Learn generative AI, automation, and data analytics in one complete program designed for real world skills.

Generative AI Course Duration Generative AI Course Duration

Beginner to Advanced Generative AI Beginner to Advanced Generative AI

Live and Recorded AI Sessions Live and Recorded AI Sessions

Generative AI Certificate Generative AI Certificate

AI Placement Support AI Placement Support

Generative AI Program

Full 20-week curriculum —
from data basics to Gen AI deployment

The most comprehensive AI program available online in the UK. From Excel and SQL foundations right through to building and deploying production-ready Generative AI applications — 10 modules, 20 weeks, zero prior experience needed.

Program at a glance
📅
Duration
20 Weeks
🛠
Tools
Excel, SQL, Power BI, Tableau, Python, ML, Deep Learning & Gen AI
🎯
Outcome
Analyse data, build ML & DL models, design, fine-tune & deploy Gen AI apps
💰
Price
From £1,899  £3,499
Enrol Now →
Program structure: M1–M6 · Data & Analytics Foundation M7–M8 · Machine Learning & Deep Learning M9–M10 · Generative AI & Deployment
Module 1 of 10
01
Introduction to Data Science & Generative AI
📅 Weeks 1–2 📚 2 sessions 🎯 Foundations
Foundation
Week 1 Data Science & Gen AI Basics
  • Data Analytics and Data Science Overview
  • Introduction to Data — types, sources & structures
Outcome Understand the fundamentals of data science and Gen AI.
Week 2 Gen AI Workflow
  • Gen AI Lifecycle — end-to-end pipeline overview
  • Business Use Cases of Gen AI in the UK & globally
  • Basic Introduction of Generative AI — models, tools & landscape
Outcome Understand how Gen AI is applied in real-world business scenarios.
02
Advanced Excel
📅 Weeks 3–4 📚 2 sessions 🛠 Microsoft Excel
Excel
Week 3 Excel for Data Management
  • Introduction to Excel — interface & navigation
  • Data Manipulation and Management in Excel — sorting, filtering, VLOOKUP, PivotTables
Outcome Clean, organise, and manage data efficiently using Excel.
Week 4 Excel Visualisation & Advanced Techniques
  • Data Visualisation in Excel — charts, sparklines & conditional formatting
  • Advanced Excel Techniques — power functions, dynamic arrays & dashboards
Outcome Create meaningful reports and summaries using Excel.
03
SQL for Data Analysis
📅 Weeks 5–6 📚 2 sessions 🛠 MySQL
SQL
Week 5 SQL Fundamentals
  • Introduction to SQL — databases, tables & schema
  • Basic SQL Commands — SELECT, WHERE, ORDER BY, GROUP BY
Outcome Retrieve and analyse data using basic SQL queries.
Week 6 Advanced SQL
  • Advanced SQL Concepts — subqueries, CTEs & window functions
  • SQL Joins & Conditional Logic — INNER, LEFT, RIGHT, CASE
  • Complex Queries & Doubt Session
Outcome Write complex queries to analyse data from multiple tables.
04
Power BI
📅 Weeks 7–8 📚 2 sessions 🛠 Microsoft Power BI
Power BI
Week 7 Power BI Fundamentals
  • Introduction to Power BI — interface, workspace & service
  • Data Import & Data Transformation — Power Query & data modelling
Outcome Prepare and model data in Power BI for reporting.
Week 8 Power BI Reporting
  • Creating Reports and Dashboards — visuals, slicers & drill-through
  • DAX (Data Analysis Expressions) — calculated columns, measures & KPIs
  • Sharing and Collaboration — publish, embed & workspace sharing
Outcome Build and share interactive dashboards.
05
Tableau Data Visualisation
📅 Week 9 📚 1 session 🛠 Tableau
Tableau
Week 9 Tableau Data Visualisation
  • Introduction to Tableau — Desktop vs Public, interface tour
  • Connecting to Data Sources — Excel, CSV, SQL databases
  • Creating Visualisations — bar, line, scatter, maps & heat maps
  • Dashboard Design Best Practice — layout, UX & storytelling with data
Outcome Create professional dashboards using Tableau.
06
Python for Data Analytics
📅 Weeks 10–12 📚 3 sessions 🛠 Python · Pandas · NumPy · Matplotlib
Python
Week 10 Python Basics
  • Python Basics — environment setup & Jupyter Notebooks
  • Python Syntax & Data Types — variables, loops, functions
  • Data Structures & NumPy — lists, dicts, arrays
Outcome Use Python for basic data handling and numerical analysis.
Week 11 Python Data Analysis
  • Data Manipulation with Pandas — DataFrames, merge, groupby, pivot
  • Data Visualisation using Python — Matplotlib & Seaborn charts
Outcome Analyse and visualise data using Python libraries.
Week 12 Statistical Analysis
  • Statistical Analysis — descriptive stats, distributions & correlation
Outcome Apply statistical concepts in data science.
07
Machine Learning
📅 Weeks 13–14 📚 2 sessions 🛠 Python · Scikit-learn · TensorFlow
Machine Learning
Week 13 Machine Learning Foundations
  • Introduction to AI & Machine Learning — key concepts & terminology
  • Supervised Learning — Regression Models (Linear, Polynomial, Ridge)
Outcome Understand machine learning concepts and regression models.
Week 14 Machine Learning Models
  • Classification Models — Logistic Regression, Decision Trees, Random Forest
  • Unsupervised Learning — K-Means Clustering, PCA
  • Model Evaluation & Optimisation — cross-validation, hyperparameter tuning
Outcome Build and evaluate machine learning models.
08
Deep Learning
📅 Weeks 15–16 📚 2 sessions 🛠 TensorFlow · Keras · PyTorch
Deep Learning
Week 15 Deep Learning Fundamentals
  • Deep Learning & Neural Networks — architecture, layers, activation functions
  • Backpropagation & Gradient Descent — how networks learn
Outcome Understand deep learning concepts and neural network architectures.
Week 16 Advanced Deep Learning
  • CNNs for Image Processing — convolution, pooling & feature maps
  • RNNs for Sequential Data — LSTM, GRU & time-series applications
Outcome Apply deep learning techniques to real-world image and sequence tasks.
09
Generative AI
📅 Weeks 17–18 📚 2 sessions 🛠 HuggingFace · OpenAI API · LangChain
Generative AI
Week 17 Generative AI Foundations
  • Introduction to Generative AI — history, landscape & UK applications
  • Foundations of Generative Models — VAEs, diffusion models & architecture overview
Outcome Understand Generative AI basics and the landscape of generative models.
Week 18 GANs & LLMs
  • Generative Adversarial Networks (GANs) — generator, discriminator & training dynamics
  • Transformer Models & LLMs — attention mechanism, GPT, BERT & prompt engineering
Outcome Work with modern generative architectures including GANs and LLMs.
10
Generative AI Applications & Capstone
📅 Weeks 19–20 📚 2 sessions 🛠 LangChain · RAG · OpenAI · FastAPI
Gen AI Apps
Week 19 LLM Applications
  • Fine-Tuning & Deployment of LLMs — LoRA, PEFT & model serving
  • RAG (Retrieval-Augmented Generation) — vector databases & LangChain pipelines
  • Multimodal AI — combining text, image & audio in AI applications
Outcome Build production-ready GenAI systems using LLMs, RAG & multimodal AI.
Week 20 Ethics & Capstone Project
  • Ethical Considerations & Challenges — bias, fairness, UK AI regulation & responsible deployment
  • Capstone Project — end-to-end GenAI application presented to industry panel
Outcome Deliver an end-to-end GenAI project and demonstrate responsible AI practices.

Master Every Essential Tool in Data, AI, and Cloud Technologies

Python

Python

SQL

SQL

Power BI

Power BI

Tableau

Tableau

Advanced Excel

Advanced Excel

Jupyter Notebook

Jupyter Notebook

Pandas

Pandas

NumPy

NumPy

Matplotlib

Matplotlib

ChatGPT API

ChatGPT API

RAG Pipelines

RAG Pipelines

Git & GitHub

Git & GitHub

AWS

AWS

MongoDB

MongoDB

MySQL

And More

// How This Course Helps You

From Beginner to Job Ready
in Generative AI

You Learn Real AI Skills That Companies Need

You will learn how to use tools like ChatGPT, GPT models and automation tools that companies are using today.

01

You Build Real AI Projects

You will create AI applications like chatbots, automation systems and AI tools using real use cases.

02

You Create a Strong AI Portfolio

By the end of the course, you will have real AI projects to show companies and stand out from other candidates.

03

How Generative AI Course Helps You
04

You Get Mentor Support

Our mentors guide you step by step and help you understand AI concepts in a simple way.

05

You Prepare for AI Job Interviews

You will practice interviews, improve your resume and get ready to apply for AI roles with confidence.

06

You Get Placement Support

You will get job referrals, career guidance and support until you get placed in an AI role.

// Real Projects You Will Build

Build Real AI Applications
That Help You Get Hired

01.

AI Chatbot
Development

You will build AI chatbots using tools like ChatGPT and GPT models. These chatbots can be used for customer support and automation.

02.

Automated Data
Analysis Tool

You will create tools that use AI to analyse data automatically and generate insights without manual work.

03.

AI Content
Generation System

You will build systems that generate content like text, reports or summaries using AI models.

04.

Business Automation
System

You will create automation systems using AI tools to improve business processes and save time.

img AI Engineer
img Generative AI Specialist
img Automation Specialist
img AI Developer
img Data Analyst with AI Skills
img Prompt Engineer
img £40,000+ Starting Salary
img Placement Support Included
img AI Engineer
img Generative AI Specialist
img Automation Specialist
img AI Developer
img Data Analyst with AI Skills
img Prompt Engineer
img £40,000+ Starting Salary
img Placement Support Included
img AI Engineer
img Generative AI Specialist
img Automation Specialist
img AI Developer
img Data Analyst with AI Skills
img Prompt Engineer
img £40,000+ Starting Salary
img Placement Support Included
// Career Outcomes

AI Roles You Can Apply For After This Course

After completing this Generative AI course, you will be ready to apply for roles in AI, automation, and data analytics with AI. These jobs are in high demand across many industries.

Entry Level £40,000+
Mid Level £60,000+
Senior Level £90,000+
  • AI Engineer UK AI Engineer UK
    [Artificial Intelligence]

    AI Engineer

    £40,000 to £80,000 High Demand
  • Generative AI Specialist UK Generative AI Specialist UK
    [Generative AI]

    Generative AI Specialist

    £45,000 to £85,000 Top Paying Role
  • Automation Specialist UK Automation Specialist UK
    [Automation]

    Automation Specialist

    £40,000 to £75,000 Growing Demand
// GET PLACEMENT SUPPORT

Ready to Get Placed in an AI Job?

Get full placement support with resume building, mock interviews, and job referrals. Start your journey with our Generative AI course and get ready for real job roles in AI and automation.

Start Your Career
// WHO THIS COURSE IS FOR

10 K+

Learners started their AI career with us.

This Generative AI Course is Designed for Anyone Who Wants to Build a Career in AI and Automation

This course is perfect for students, beginners, and working professionals who want to learn generative AI and automation from scratch. Even if you do not have coding experience, you can start easily and grow step by step.

  • Students and fresh graduates
  • Career switchers from non tech background
  • Working professionals looking for AI skills
  • Anyone interested in AI and automation
Join Now
Who this course is for
info
Beginner friendly and no experience required
Eligibility for Generative AI Course
// ELIGIBILITY & PREREQUISITES

Anyone Can Start Learning Generative AI with No Experience

  • No experience required

    No Prior Experience Needed

    You do not need coding or technical background. This course starts from basics and helps you learn AI step by step.

  • Basic computer knowledge

    Basic Computer Knowledge

    If you can use a computer and understand basic concepts, you are ready to start learning generative AI.

  • Interest in AI

    Interest in AI and Automation

    You only need interest in AI tools and automation. We will guide you throughout your learning journey.

// PROGRAM COMPARISON

Why Our Generative AI Course
is Better Than Others

Compare our program with others and see why students choose us to build a career in AI and automation.

Feature ⭐ Our Course Other Courses Bootcamps
Placement Support ✔ Resume building mock interviews job referrals ✗ Limited or extra cost ✗ Not guaranteed
AI Projects ✔ Build chatbots automation tools and AI applications ~ Basic projects ~ Limited projects
Generative AI Tools ✔ Learn ChatGPT GPT models LangChain and automation ✗ Not included ✗ Rarely included
Mentorship ✔ One to one mentor support ~ Group support ~ Limited access
Learning Format ✔ Live and recorded sessions ✗ Only recorded ~ Offline only
Certification ✔ Industry recognised AI certificate ✗ Basic certificate ~ Depends on institute

Ready to start your AI career with full support?

Enroll Now
Ready to start your Generative AI journey?
3 to 6 months · Live sessions · 1:1 mentorship · Placement support included
Enrol from £1,899 → Book Free Call