What background knowledge is necessary to enroll in the course?

This course is designed for absolute beginners, so no prior knowledge of AI, programming, or data science is required. It starts with the basics, including introductions to machine learning, deep learning, and generative AI, making it accessible to those new to these fields.

Who is this course for?

This course is for anyone interested in learning about artificial intelligence, whether you're looking to start a career in AI, exploring the technology for business use, or just curious about AI's impact on the world. It’s perfect for beginners with no prior experience in AI, coding, or machine learning.

How long does it take to complete the course?

The course is designed to be completed in approximately 5 hours. This duration covers both theoretical content and practical, hands-on demonstrations, ensuring a well-rounded learning experience.

Can I preview a course before enrolling?

Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.

When will I have access to the lectures and assignments?

If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.

What will I get when I enroll?

Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.

When will I receive my Course Certificate?

If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.

Why can’t I audit this course?

This course is currently available only to learners who have paid or received financial aid, when available.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

AI Ecosystem for the Absolute Beginners - Hands-On

AI Ecosystem for the Absolute Beginners - Hands-On

Instructor: Packt - Course Instructors

Included with Coursera Plus

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9 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

8 hours to complete

Flexible schedule

Learn at your own pace

9 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

8 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Understand the core concepts of AI and its business applications.
Gain hands-on experience using AWS AI services like Rekognition and Forecast.
Learn how to implement machine learning models for predictive analytics.
Build practical AI-driven solutions using tools like Amazon Comprehend and Bedrock.

Skills you'll gain

Details to know

Shareable certificate

Add to your LinkedIn profile

See how employees at top companies are mastering in-demand skills

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There are 9 modules in this course

This course features Coursera Coach!

A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Unlock the power of Artificial Intelligence (AI) with this beginner-friendly, hands-on course. Dive into the fundamentals of AI and explore its evolution, applications, and business benefits. You'll journey through the key components of the AI ecosystem, from machine learning to deep learning and generative AI. Real-world use cases of AI and ML across industries will provide a practical perspective on their vast potential. Throughout the course, you'll engage with interactive lessons covering AWS Cloud services, Amazon Rekognition, Amazon Forecast, and tools like Amazon Comprehend and Amazon Bedrock. Demonstrations and hands-on exercises allow you to apply your learning in real-time, empowering you to develop AI-driven solutions and use cases. This course is ideal for individuals with little to no experience in AI, machine learning, or cloud computing. It’s structured to take you from basic concepts to real-world applications, making AI more accessible than ever. No prior knowledge is required, and the course ensures you gain valuable practical skills at every step. By the end of the course, you will be able to understand AI's core concepts, use AWS AI services effectively, apply machine learning and deep learning models, and build a hands-on project utilizing AWS Bedrock.

In this module, we will introduce you to the course, its goals, and its structure. You’ll get an overview of the content, see how hands-on learning empowers you, and understand how each section of the course builds toward mastering the AI ecosystem.

What's included

1 video1 reading

In this module, we will introduce you to the fundamentals of Artificial Intelligence, tracing its evolution and understanding its core components. You’ll explore AI's profound impact on industries through practical use cases, and learn how businesses leverage AI to stay competitive.

What's included

8 videos1 assignment

8 videosTotal 103 minutes

Introduction to AI, AI Evolution and Business Benefits11 minutes
AI Ecosystem6 minutes
Real World Use Cases of AI8 minutes
Lifecycle of AI8 minutes
AWS Cloud Basics for Beginners (OPTIONAL)31 minutes
Introduction to Various AWS AI Services16 minutes
Getting Started with Amazon Rekognition and Various Use Cases7 minutes
Demo - Amazon Rekognition (Label Detection, Facial Analysis and Capstone Project)13 minutes

1 assignmentTotal 15 minutes

Getting Started with Artificial Intelligence (AI) - Assessment15 minutes

In this module, we will dive deep into the principles of Machine Learning, covering its different types and key techniques. You’ll explore how data is processed and how models are evaluated to ensure they perform well in real-world applications.

What's included

5 videos1 assignment

5 videosTotal 44 minutes

Understanding ML and Learning Types7 minutes
Data Preprocessing Techniques, Model Evaluation and Validation9 minutes
Real World Use Cases of ML5 minutes
Getting Started with Amazon Forecast and Various Use Cases7 minutes
Demo - Amazon Forecast for Time Series Forecasting15 minutes

1 assignmentTotal 15 minutes

Understanding Machine Learning (ML) - Assessment15 minutes

In this module, we will explore the cutting-edge field of Deep Learning, focusing on its foundational concepts and the powerful potential of Artificial Neural Networks. You’ll also get hands-on with Amazon Comprehend to apply DL in sentiment analysis and other NLP tasks.

What's included

4 videos1 assignment

4 videosTotal 32 minutes

Getting Started with Deep Learning (DL) and Artificial Neural Networks (ANN)10 minutes
Real World Use Cases of DL3 minutes
Understanding Amazon Comprehend Service and Various Use Cases12 minutes
Demo - Amazon Comprehend for Sentiment Analysis6 minutes

1 assignmentTotal 15 minutes

Deep Learning (DL) and Artificial Neural Network (ANN) Fundamentals - Assessment15 minutes

In this module, we will introduce you to Generative AI, exploring its unique capabilities and how it is transforming industries like entertainment, technology, and marketing. You’ll learn about the key models behind it and work with Amazon Bedrock for hands-on projects.

What's included

6 videos1 assignment

6 videosTotal 48 minutes

Understanding GenAI and Its Advantages5 minutes
Core GenAI Algorithms, Models and Workflow8 minutes
Application Fields and Future Trends7 minutes
GenAI Toolset5 minutes
Understanding Amazon Bedrock Service, Workflow and Use Cases10 minutes
Demo - Amazon Bedrock (Text Generation, Chatbot, Image Generation)9 minutes

1 assignmentTotal 15 minutes

Understanding Generative AI (GenAI) - Assessment15 minutes

In this module, we will introduce the concept of prompt engineering, a crucial skill for improving AI-generated outputs. You’ll also get hands-on practice with ChatGPT and Firebase Studio, applying AI in real-world projects and gaining valuable technical experience.

What's included

3 videos1 assignment

In this module, we will explore the ethical dimensions of AI, focusing on the potential risks and the importance of implementing AI responsibly. You’ll learn how to balance innovation with ethical considerations, ensuring that AI solutions align with societal values.

What's included

1 video1 assignment

In this module, we will guide you through a capstone project that allows you to apply your learning to a real-world scenario using AWS Bedrock. This final project will challenge you to integrate multiple AI components and showcase your skills in a comprehensive solution.

What's included

1 video1 assignment

In this module, we will focus on training a custom AI model from scratch, using the techniques and tools you've learned. You’ll refine the model’s performance, optimize it, and deploy it as part of your final capstone project, ensuring a robust and scalable AI solution.

What's included

1 video2 assignments

Instructor

Packt - Course Instructors

Packt

1,092 Courses267,199 learners

Offered by

Packt

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Frequently asked questions

The AI ecosystem refers to the interconnected components of artificial intelligence, including the tools, services, and technologies that work together to create AI solutions. It is relevant because understanding how these components interact is essential for anyone looking to navigate and implement AI in real-world scenarios, especially as AI continues to drive transformation across industries like healthcare, finance, and entertainment.

This course is designed to introduce beginners to the AI ecosystem. It covers foundational concepts like machine learning, deep learning, generative AI, and responsible AI, with hands-on demos using tools such as Amazon Rekognition, Amazon Forecast, and Amazon Bedrock. The course is built to empower learners to understand AI’s potential and to start applying these technologies through practical exercises and projects.

Upon completing this course, you will have a solid understanding of the AI ecosystem and its various components. You will be able to implement basic AI solutions using AWS services, create AI-driven applications, and conduct projects like image and sentiment analysis, time series forecasting, and more. You'll also be equipped to tackle real-world AI challenges and understand the lifecycle of AI projects from start to finish.