easylearn.ing
Easy Learning with Applied AI Foundations: 8-Week Professional Course
Development > Data Science
5 h
£14.99 Free for 1 days
4.5 ★★★★★
3445 students

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Language: English

Sale Ends: 06 Nov

Master Applied AI & Machine Learning: 8-Week Professional Program

What you will learn:

  • Master Applied AI & LLM Fundamentals
  • Gain Hands-On AI Tool Proficiency
  • Apply AI Across Diverse Industries
  • Develop Ethical & Responsible AI Practices

Description

Transform your career with our intensive 8-week Applied AI and Machine Learning program! This course isn't just about theory; it's about practical application. We bridge the gap between academic knowledge and real-world impact, equipping you with the skills to solve complex business problems using AI-powered solutions.

You'll master core AI/ML concepts, including data preparation, algorithm selection, and predictive analytics techniques. Through engaging case studies – such as fraud detection in finance, predictive maintenance in aviation, and customer churn prediction in telecom – you'll learn how these techniques are used in diverse industries. Each week features hands-on labs using real datasets and industry-standard tools, mirroring the workflows of today's AI professionals.

By the course's conclusion, you'll be able to:

  • Implement machine learning algorithms across different applications.
  • Conduct robust predictive analytics across various sectors.
  • Execute end-to-end AI workflows, from data acquisition to deployment.
  • Confidently address business challenges with AI-driven solutions.
  • Showcase your skills via a comprehensive capstone project.

This program is ideal for aspiring data analysts, data scientists, and AI specialists. Gain the practical experience and theoretical foundation you need to excel in the field of applied artificial intelligence. Enroll today and begin your AI journey!

Curriculum

Week 1 – Introduction to Applied AI

This introductory week sets the stage for the entire course. You'll learn what applied AI truly entails (1.1), examine its current presence across various industries (1.2), and explore the foundational building blocks of AI systems (1.3). The session concludes with a look at industry adoption trends and return on investment considerations (1.4), followed by a hands-on lab exercise (Week 1 hands-on labs) reinforcing what you've learned.

Week 2 – Data Foundations for AI Applications

Week 2 dives into the crucial aspect of data. You'll master industry-standard data collection and preparation techniques (2.1), learn to clean and improve your data's quality (2.2), explore fundamental concepts of data pipelines and MLOps (2.3), and analyze a real-world case study focused on building AI-ready datasets in the finance sector (2.4). A practical lab (Week 2 — Machine Learning & Predictive Analytics (Hands-on)) ensures you can apply these skills.

Week 3 – Machine Learning & Predictive Analytics

Week 3 focuses on machine learning algorithms and their use in predictive analytics. You'll get an overview of industry-relevant algorithms (3.1), delve into the application of predictive analytics in finance (3.2), and explore its use in predictive maintenance in the aviation and manufacturing industries (3.3). The week culminates in a case study on customer churn prediction in the telecom industry (3.4) and a hands-on lab (Week 3 Hands-On Lab: Predictive Analytics in Action).

Week 4 – Natural Language Processing (NLP) in Business

Week 4 introduces Natural Language Processing (NLP). You’ll explore its use in industry applications (4.1), apply sentiment analysis in marketing and customer feedback (4.2), and study the role of chatbots and virtual assistants in customer service (4.3). A case study on document automation in legal and healthcare settings (4.4) concludes the week, followed by hands-on practice (Week 4 – Hands-On Labs).

Week 5 – Computer Vision & Automation

In Week 5, you'll learn about computer vision (CV) and its various industrial applications (5.1). You'll see how CV is employed in manufacturing quality control (5.2) and explore its uses in retail and smart city initiatives (5.3). A case study on medical imaging for healthcare diagnostics (5.4) will challenge you before the hands-on labs (Week 5 — Hands-On Labs).

Week 6 – Generative AI & LLMs in Practice

Week 6 delves into generative AI and Large Language Models (LLMs). You'll gain an understanding of these technologies (6.1), see how they're used in content generation (6.2), and discover their role in code assistance and automation (6.3). The week concludes with a case study on report automation in aviation and finance (6.4) and hands-on exercises (Week 6 — Hands-On Labs (Generative AI & LLMs)).

Week 7 – AI Ethics, Risks & Governance

Week 7 emphasizes the ethical considerations surrounding AI. You will discuss responsible innovation (7.1), address issues of bias and fairness (7.2), and examine relevant regulations and governance frameworks such as GDPR and the EU AI Act (7.3). A case study focusing on ethical dilemmas in healthcare AI (7.4) and associated hands-on labs (Week 7 — Hands-On Labs (Ethics, Fairness, Governance)) complete this vital week.

Week 8 – Capstone: AI Solutions Across Industries

The final week is dedicated to your capstone project. You'll learn how to design end-to-end AI solutions (8.1), choose an industry to apply your knowledge (8.2), and build a mini AI prototype with a corresponding business case (8.3). You'll conclude by considering the future of applied AI and the diverse career opportunities it offers (8.4), with a final hands-on capstone lab (Week 8 – Capstone Hands-on Lab).

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