DOESN'T PROVIDE WITH CERTIFICATE

I was disappointed with the Fundamentals of Machine Learning and Artificial Intelligence course. The content lacked depth, the explanations were unclear, and there was little practical application. On top of that, I didn’t receive a certificate, which was very frustrating. I wouldn’t recommend this course to others.

Can I also give zero points? Nothing to be learned. Just an AWS commercial.

this is just an ad , dont do it, I don't know where the report button is

"This course is an excellent introduction to the core concepts of machine learning and artificial intelligence, offering a well-structured curriculum for beginners and professionals alike. It provides a strong theoretical foundation while emphasizing practical applications, including supervised and unsupervised learning, neural networks, and basic AI algorithms. What sets this course apart is its focus on making complex topics accessible through clear explanations, hands-on projects, and real-world examples. Whether you're exploring AI for the first time or strengthening your existing knowledge, the course bridges the gap between theory and practice effectively. As someone aiming to build a career in software engineering, the course aligns with my goals by equipping me with essential skills in AI and ML, which are rapidly transforming industries. It prepares learners to solve real-world problems and develop intelligent systems, making it a valuable addition to both academic and professional journeys."

This course provides a comprehensive and structured overview of the AI landscape, bridging the gap between traditional machine learning fundamentals and cutting-edge AWS generative AI technologies. Key Highlights of Your Study The Hierarchy: You've mapped out how AI (broad intelligence) leads to Machine Learning (learning from data), which powers Deep Learning (neural networks), and finally Generative AI (creating new content). Data Essentials: You've identified that the quality of an ML model depends entirely on its training data—specifically the difference between Labeled vs. Unlabeled and Structured vs. Unstructured data. The AWS Advantage: You've explored how services like Amazon Bedrock provide access to foundation models, while Amazon SageMaker AI handles the heavy lifting of building and training custom models. Optimization Techniques: You've learned the three main ways to improve model results: Prompt Engineering (instruction-based), RAG (context-based), and Fine-tuning (weight-based).

Fundamentals of Machine Learning and Artificial Intelligence" is an engaging and well-structured introduction to the core concepts, tools, and practical applications of AI and ML. The course not only covers the theoretical foundations of machine learning, deep learning, and generative AI but also blends them with hands-on exposure to AWS AI/ML services, making it highly relevant for both beginners and professionals looking to enhance their applied skills.

This is the course I was looking for which is helpful to understand the overview of Artificial Intelligence, Machine Learning, Deep Learning and Generative AI. Also It has introduced the AI, ML/DL services of Amazon Web Service. I really appreciate this course for beginner who wants to know the basics different among these fields.

This is an introductory course to AI and AWS, which are truly fantastic. Learning about these topics is captivating for me because there's so much to learn and/or specialize in. The professional and business growth opportunities are countless with tools like this ones.

I recently completed the Fundaments of AI and ML course, and it has been a truly rewarding experience. This course is perfect for beginners who are eager to develop a strong foundational understanding of Artificial Intelligence (AI) and Machine Learning (ML).

I am an Undergraduate Software engineering student, with no basics of Ai and ML, but thanks to Amazon for providing an easy and quick way to understand how all the things work and a deep understanding of Ai tools and technologies being developed and used.

If you're new to AI/ML or want to understand how AWS fits into the picture, this course is a solid starting point. It’s especially useful for business professionals, students, or tech-curious individuals looking to build foundational knowledge quickly.

A nice, very didactic course, it explains in a comprehensive manner what AI is and how it works, going through its different branches as Machine Learning, Deep Learning and Generative AI. It's a beginner friendly way to be introduced to this world.

I appreciate how Coursera designs its modules to reinforce concepts through practical reflections and assessments. Achievements like these fuel my motivation to keep progressing and expanding my knowledge in the AI and ML space.

I really liked the course, it was very informative and helpful. However, I would appreciate if you could suggest or provide similar free courses with certification so that I can continue learning and building my skills

This course helps with clear understandings of ML, AI, Deep learning, and how they work internally. It shows how generative ai works, how nlp uses tokens and embeddings. It's pretty good for starting out with AI.

As I am taking the course I feel this is really insightful to learn how artificial intelligence learns to create an algorithm to help or predict products that the customer could potentially buy using trends.

This course has the basics of IA and is good materila to understand how AI works and which tools uses to provide fast and clear information about almost any topic we wnat or need to ask.

very good short course on the fundamentals of AI & ML it lets you understand basic concepts good for creating a strong foundational base in learning how artificial intelligence works

It was a wonderful experience of exploring and learning new concepts of Generative AI ,ML and DL .Also understanding the core of various aws services was really interesting to learn