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Ready to dive into the world of data? This foundational module helps you understand the basics of data science and analytics, setting the stage for advanced concepts ahead. Ideal for beginners, it’s your first step toward mastering data in our Generative AI Course in the UK.
Module 2: Advanced Excel
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Become an Excel expert! This module equips you with the skills to manage, analyze, and visualize data using Excel. Whether you’re a beginner or need a refresher, this part of our Generative AI training in the UK ensures you’re confident with data handling right from your spreadsheet.
Module 3: SQL
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Master data extraction and database handling. SQL is essential for querying and managing structured data. In this section of our Generative AI course, we teach you how to write and optimize SQL queries used across industries in the UK and beyond.
Module 4: Python for Data Analytics
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Learn the language of data. Python is the most in-demand programming language for data analytics and AI. Through hands-on exercises, this module builds a strong base for learners aiming to build AI models and explore automation in our Generative AI certification course.
Module 5: Tableau for Data Analytics
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Turn your data into beautiful stories. With Tableau, you’ll learn how to present data clearly and persuasively. This module is perfect for learners looking to specialize in visual data storytelling as part of our Generative AI course in the UK.
Module 6: Power BI for Data Analytics
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Visualize and report with confidence. Power BI is widely used in businesses to make informed decisions. This part of our Generative AI course teaches you to create real-time dashboards and perform business intelligence analytics effectively.
Module 7: AI, Machine Learning & Deep Learning with Python
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Build smart systems that learn and adapt. From traditional ML to deep neural networks, this module helps you develop models that drive automation and decision-making. It’s a key component of our AI and Generative AI course in the UK.
Module 8: Generative AI & Large Language Models (LLMs)
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Unlock the future of intelligent automation. This advanced module delves into how machines can generate human-like content—from text to images and even voice. You’ll learn the inner workings of models like GPT, the power of transformers, and how LLMs are reshaping industries. If you’re looking to break into the world of AI innovation, this is the highlight of our Generative AI course in the UK. Learn how to fine-tune models, deploy real-world solutions, and become part of the AI revolution.
The course structure was well-organized, and the instructors explained everything in a simple, practical way. I gained hands-on experience with real-world projects, which boosted my confidence. FindMyTuition truly provides the best learning experience!
I was unsure about which course to choose, but the team guided me. The interactive lessons and personalized support made learning so much easier. I highly recommend FindMyTuition for anyone looking to upskill!
I had no coding background, but the step-by-step approach helped me master Python and SQL for data analysis. The course was detailed yet easy to follow. Thanks to FindMyTuition, I now have the skills to pursue my dream job!
Enrolling in the Generative AI program was a game-changer for me. The course covered everything from basics to advanced AI models. I even got hands-on experience with real projects, which helped me land a job in AI research!
Generative AI is a branch of artificial intelligence that focuses on creating new content such as text, images, audio, or video. Unlike traditional AI, which analyzes or classifies data, generative AI produces data—like writing an article or generating a realistic image.
Do I need coding experience to join the Generative AI course?Basic knowledge of Python is helpful, but not mandatory. We start from the fundamentals and guide you through everything step-by-step, making it beginner-friendly while still covering advanced topics.
What tools and technologies will I learn in this course?You’ll work with Python, TensorFlow, PyTorch, OpenAI tools, GANs, Transformers, and Large Language Models (LLMs) like GPT. We also introduce RAG and Multimodal AI concepts to give you a complete understanding of this evolving field.
Are there any real-world projects included in the course?Yes, each module includes hands-on projects. By the end, you’ll complete a Capstone Project using LLMs or GANs to demonstrate your skills in a real-world scenario.
How does this course help with my career?Generative AI is in high demand across industries—from healthcare to marketing to software. Our course gives you practical experience and the technical know-how to apply for roles like AI Engineer, ML Developer, or Research Analyst in the UK or globally.
Will I get a certificate after completing the course?Absolutely. You’ll receive a professional certification from FindMyTuition, which you can showcase on your CV, LinkedIn profile, or job applications.
Generative AI is a type of artificial intelligence that creates new content—such as text, images, audio, or code—based on patterns it has learned from existing data. It powers technologies like ChatGPT, image generators, and AI-based design tools, and is widely used in industries like marketing, healthcare, and education.
2. How does Generative AI work?Generative AI models, such as GANs and Transformers, learn from massive datasets and use that knowledge to generate new content. For example, a model trained on thousands of images can create entirely new ones that look realistic. These systems use deep learning to predict and construct relevant output.
3. What’s the difference between Generative AI and Traditional AI?Traditional AI focuses on classification, prediction, and automation using existing data. Generative AI goes a step further—it creates new data. For instance, while traditional AI might predict customer churn, Generative AI can create a simulated customer review based on historical patterns.
4. Where is Generative AI used in real life?Generative AI is used in:
Drug discovery in healthcare Its real-world applications are rapidly expanding across all sectors.
GANs, or Generative Adversarial Networks, are a type of generative model made up of two neural networks—the generator and the discriminator—that work against each other to produce realistic outputs, such as human-like faces, artwork, or simulated data for machine learning.
6. What are Large Language Models (LLMs)?LLMs like GPT (used in ChatGPT) are deep learning models trained on massive amounts of text data. They can generate human-like responses, translate languages, write code, and more. These models are the backbone of many modern generative AI applications.
7. Do I need to know programming to learn Generative AI?Basic knowledge of Python is helpful but not mandatory. Our course starts with the fundamentals and gradually introduces technical concepts, making it suitable even for those new to AI or programming.
8. What is RAG (Retrieval-Augmented Generation)?RAG is a technique where a model retrieves relevant information from a knowledge base and uses it to generate more accurate and informed responses. It’s especially useful in tasks like answering questions from documents or generating content based on specific sources.
9. Are there ethical issues in Generative AI?Yes, there are concerns like misinformation, deepfakes, bias in training data, and misuse of AI-generated content. In our course, we dedicate time to discussing ethics, safety, and responsible AI development.
10. How can I start learning Generative AI?You can start by enrolling in our Generative AI course in the UK, where you’ll learn everything from foundational concepts to advanced model training, including hands-on experience with LLMs, GANs, and real-world projects.
Choosing the right course can be overwhelming, but you don’t have to do it alone. Whether you’re looking to start a career in Generative AI, Data Analytics, Data Science, or Business Analytics, our expert team is here to guide you every step of the way.
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