AI Ecosystem for the Absolute Beginners - Hands-On
What you'll learn
- Introduction to AI Ecosystem - AI, ML, DL, GenAI, Prompt Engineering
- AI Lifecycle and Business benefits
- AI hands-on using Amazon Rekognition Service
- Understanding ML and Learning types
- ML hands-on with Amazon Forecast Service
- Deep Learning and Neural Networks Fundamentals
- DL hands-on with Amazon Comprehend Service
- Deep dive into Generative AI, its algorithms and future prospects
- GenAI hands-on using Amazon Bedrock Service
- Prompt Engineering and best practices
- ChatGPT hands-on
- Responsible AI
- Capstone project using AWS Bedrock
Requirements
- Basic Unix/Linux Knowledge
- AWS Free Tier Account
- Good to have Python Basic Knowledge (Not Mandatory)
- No prior experience is required
Description
What's Covered in this Course?
The "AI Ecosystem for Absolute Beginners" course is designed to accommodate learners of all levels, from beginners to experienced professionals looking to explore the world of Artificial Intelligence. Acting as a foundational pillar, this course facilitates your journey into the AI ecosystem. Starting with the basics of AI, the course guides you through the lifecycle of AI applications and essential concepts. It also covers the basics of Machine Learning, Deep Learning, and Generative AI, supported by practical hands-on demos using AWS services such as Rekognition, Forecast, Comprehend, and Bedrock. Additionally, it also explores prompt engineering, featuring a comprehensive hands-on demonstration with ChatGPT, concluding with a capstone project focused on Generative AI.
Whether you're new to AI or aiming to deepen your understanding, this course is tailored to meet your needs.
What is Artificial Intelligence (AI)?
Artificial Intelligence (AI) is a revolutionary technology that enables machines to mimic human-like behavior. In today's world, AI powers virtual assistants, autonomous vehicles, and personalised recommendations, transforming industries from healthcare to finance. By analysing large datasets and identifying patterns, AI algorithms continuously improve their performance, driving innovation and reshaping the way we work and live.
Student Testimonials:
★★★★★ "Amazingly explained the concepts with simple day to day life examples."
★★★★★ "Best course to learn AI."
Course Structure:
Lectures
Demos
Quizzes
Assignments
Course Contents:
Introduction to AI Ecosystem
Getting Started with Artificial Intelligence (AI)
AI Evolution, Business Benefits, Real World Use Cases
Amazon Rekognition Service with Hands-on Demo for Label Detection, Facial Analysis and Capstone Project
Understanding Machine Learning (ML) and Real World Use Cases
Data Preprocessing Techniques, Model Evaluation and Validation
Amazon Forecast Service with Hands-on Demo for Time Series Forecasting
Getting Started with Deep Learning (DL) and Artificial Neural Networks (ANN)
Amazon Comprehend Service with Hands-on Demo for Sentiment Analysis
Getting started with GenAI
Core GenAI Algorithms and Workflow
GenAI Application Fields, Future Trends and ToolSet
Amazon Bedrock Service with Hands-on Demo for Text Generation, Image Generation and Chatbot)
Understanding Prompt Engineering
Prompt Engineering using ChatGPT
Potential Risks of AI
AI Ethical Considerations
Best Practices of AI
End to End Capstone Project for AI Ecosystem
Course Update History:
May 12, 2025 - Added a new lecture on "Google Firebase Studio for Building Projects"
May 30, 2024 - Added Capstone Project with Amazon Bedrock and Custom UI
November 16, 2024 - Added Capstone Project for Model Training
All sections in this course are demonstrated Live, to guide and direct to create your own local environment, perform all exercises and learn by doing!!!
Who this course is for:
- AI & ML Engineers
- Data Scientists/Data Engineers
- Anyone who wants to get started with AI Ecosystem (AI, ML, DL and Generative AI) Journey
- Business Professionals and Leaders, Entrepreneurs, CXOs, Business Managers
- Aspiring AI/Generative AI Enthusiasts
Instructors
- 4.5 Instructor Rating
- 7,371 Reviews
- 49,961 Students
- 21 Courses
Yogesh Raheja is a Founder and Senior Solutions Architect at Thinknyx Technologies and an instructor at Udemy. Yogesh has been a trusted advisor for numerous organizations, guiding them through their DevOps journey, infrastructure as code, containerization, cloud computing, Automation solutions and AI/ML/Generative AI with his expertise. He has also authored several globally published books (Like "Effective DevOps with AWS", "Automation with Puppet 5" and "Automation with Ansible") published by Packt and Wiley.
- 4.6 Instructor Rating
- 679 Reviews
- 17,299 Students
- 16 Courses
Thinknyx® Technologies is a team of professionals with years of experience in IT technology, ranging from Software Development to the Management of IT Infrastructure, Cloud, Automation, Container Management, Web and APP Development, Security, and Professional Services. Recognized as a reputable brand, Thinknyx® Technologies provides IT consulting services, offering comprehensive Information Technology and Soft Skills’ Training. Additionally, they offer Talent Acquisition and Recruitment solutions to diverse organizations worldwide.