In modern tech, cloud computing has become a cornerstone of innovation and scalability. Google Cloud (GCP) stands out as one of the leading cloud platforms, offering tools and services for developers, data engineers, and businesses. As a data engineer, mastering Google Cloud can open doors to a wide range of opportunities, especially if you’re proficient in Java, one of the most popular programming languages for building scalable and reliable applications.

Artificial Intelligence (AI) is revolutionizing industries, and this course is your gateway to mastering its practical applications in Cloud and Data Engineering. You won’t just learn the basics—you’ll discover how to harness AI to solve real-world challenges.

Here’s what you’ll gain:

• Foundational AI Knowledge: Understand how AI works, its role in modern tech, and its cloud and data systems integration.

• Practical AI Applications: Learn to implement AI-powered data pipelines, automate workflows, and build smarter systems.

• Hands-On Projects: Dive into tasks like training machine learning models, analyzing large datasets, and deploying AI models on Google Cloud.

• AI in Action: Explore tools like TensorFlow, BigQuery ML, and Vertex AI to see AI’s potential in cloud environments.

Spots are Limited

Start Date: 1st Feb 2025 2 pm UK time: Book now

25+

hours training

This course is designed for individuals serious about advancing their careers. We expect participants to commit to the full duration for maximum benefit.

Unlock Your Tech Potential with My Free 6-week Cloud & Data Engineering Course

Ready to make 2025 the year you transform your career? 🚀 In this free 6-week course, I’ll guide you through the exciting Cloud and Data Engineering world. Whether starting fresh or looking to advance your skills, you’ll gain hands-on experience with Google Cloud, learn to use Java for data processing, and even build a simple ETL pipeline. I’ve designed this program to be practical, beginner-friendly, and focused on the skills you need to excel in today’s job market. Spots are limited, so enroll now, and let’s take the first step toward your future together!

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Data Collection

Gathering raw data from various sources like APIs, databases, or external platforms, and ensuring it is available for processing.

Data Transformation

Cleaning, formatting, and structuring data so that it can be used effectively for analysis. This often involves ETL (Extract, Transform, Load) processes.

Data Storage

Storing transformed data in databases or cloud storage solutions like data warehouses (e.g., BigQuery) or data lakes, ensuring it is accessible and scalable.

Data Pipeline Management

Building and maintaining automated pipelines that handle the movement of data between systems, ensuring efficient processing and real-time data flow when necessary.

ETL Process

The ETL process is fundamental for ensuring that data is extracted, transformed into a useful format, and loaded into a destination where it can be accessed and analyzed efficiently. This process is essential for data engineers as they handle the vast amount of data coming from multiple sources, ensuring it is ready for decision-making and analysis.

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Course Highlights

Cloud, AI & Data Engineering Course Curriculum with Sports Score Prediction Project

Duration: 6 Weeks (Core Curriculum + Bonus Week for Advanced Topics)

Core Technologies: Java, Google Cloud Platform (GCP), API-Football, DeepSeek/OpenAI, Langchain, RAG (Retrieval-Augmented Generation)

Week 1: Introduction to Cloud, Data Engineering & Sports Analytics

Overview of Google Cloud Platform (GCP): Why it’s a top choice for data and AI projects.
Setting up a free GCP account.
Introduction to sports data APIs (API-Football, DeepSeek, OpenAI).
Understanding the basics of sports data analytics and prediction.
Hands-on: Launch your first virtual machine on GCP and connect to API-Football to fetch historical match data.

Week 2: Java for Data Processing & Sports Data

Java basics: Refresher for beginners and advanced concepts for data processing.
Introduction to REST APIs: Fetching and processing sports data with Java.
Java libraries for handling JSON and data transformation (Jackson, Gson).
Hands-on: Process and store sports data (e.g., historical scores) using Java.

Week 3: Building ETL Pipelines with Sports Data on GCP

Introduction to ETL (Extract, Transform, Load) pipelines.
Using Google Cloud Storage and BigQuery for sports data storage and querying.
Understanding pipeline orchestration.
Hands-on: Build an ETL pipeline to fetch sports data from the API and load it into BigQuery for analysis.

Week 4: AI & Machine Learning Basics (Focus on Sports Predictions)

Introduction to AI and machine learning concepts.
Overview of Google Cloud AI tools (Vertex AI, AutoML) for model building.
Understanding training datasets, testing, and evaluation.
Hands-on: Train and test a machine learning model to predict sports match outcomes using historical data from BigQuery.

Week 5: Building the Prediction Model – Sports Scoreline Prediction

Using Java and OpenAI/DeepSeek to build and train a prediction model.
Deploying the prediction model to Google Cloud for real-time predictions.
Hands-on: Create a full pipeline to fetch live sports data, run predictions, and return results.

Week 6: Capstone Project & Career Insights

Capstone Project: Build an end-to-end sports prediction system:
- Fetch and process historical match data using Java and API-Football.
- Train a prediction model with DeepSeek/OpenAI.
- Deploy the model to GCP for real-time predictions.
Career opportunities in cloud, AI, and sports analytics.
Best practices for resumes, interviews, and job hunting in the UK tech market.

Bonus Week: Advanced AI & Emerging Technologies (Optional)

Langchain Fundamentals:
- Introduction to Langchain and its use in building AI-driven applications.
- Using Langchain for data retrieval and chatbot development.
Retrieval-Augmented Generation (RAG):
- Basics of RAG for AI-enhanced search and response systems.
- Hands-on: Building a simple RAG-powered Q&A system.
AI Prompt Engineering:
- How to design effective AI prompts for better model performance.
- Prompt strategies for OpenAI models.

Extras:

Access to additional resources and reading materials.
Weekly assignments and assessments to reinforce learning.
Discussion sessions and live Q&A with industry experts.

Who This Course is For:

Beginners with no prior coding or cloud experience.
IT professionals looking to transition into cloud and AI roles.
Data enthusiasts interested in sports analytics and prediction models.
Java developers eager to expand their skills into cloud and AI applications.

Course Highlights:

Build real-world projects with sports prediction models.
Learn to integrate AI and cloud technologies with Java.
Gain skills in emerging technologies like Langchain and RAG.

I don’t need to tell you why you need to join but here is why

• No Experience Needed: We start with the basics and build up your skills step-by-step.

• Hands-on Learning: Real projects, not just theory.

• Expert Mentors: Learn from professionals with experience in the UK tech industry.

• Career Focused: Tailored for high-demand roles in the UK job market.

FAQs

Frequently Asked Questions

Q: Can I join if I have no IT background?

A: Absolutely! We’ll start from the basics and guide you every step of the way.

Q: What tools do I need?

A: A laptop and a reliable internet connection. We’ll help you set up everything else.

Q: Is there job placement support?

A: Yes! We provide resume reviews, LinkedIn optimization, and interview prep for UK tech roles

Who Is This Course For?

This 6-week Cloud, Data Engineering, and AI course is designed for anyone ready to take a bold step toward transforming their career. Whether you’re just starting out or looking to level up, this course is for you if:

• Complete Beginners: You have no prior tech experience but are eager to break into the high-demand world of Cloud and Data Engineering.

• Tech Professionals: You’re already in the tech field and want to enhance your skills with Google Cloud, data processing, and AI to stay ahead in the industry.

• Career Switchers: You’re exploring a new career path and need practical, beginner-friendly guidance to transition smoothly.

• Ambitious Learners: You’re committed to completing the program and ready to put in the effort to build a portfolio-worthy project.

If you’re serious about advancing your career, especially in the UK market, and are ready to dedicate 6 weeks to learning practical, in-demand skills, this course is for YOU.

📢 Ready to start your journey? Enroll now and take the first step towards an exciting career in tech!

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Become a Cloud and A.I &Data Engineer in 2025