Organizer: Analytics Vidhya.
About the Course
- Take a first step Get this Learning Path Course on Generative AI Certification
- 9 Hours Duration
- 4.5 Average Rating
- Beginner: Level
- GenAI Fundamentals
- Grasp the core concepts and use cases of Generative AI today.
- Build with LLM & RAG: Create scalable and efficient apps using LLMs & advanced RAG.
- Gain GenAI Skills: Deploy and manage GenAI models on cloud platforms like AWS.
- Certificate of completion
- Complete the course and pass the final assessment to receive an industry-recognized certificate. • Industry-Recognized Credential, • Career Advancement Credential, • Shareable Achievement.
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About this Learning Path Generative AI
- In GenAI learning path, you’ll explore the core concepts of Generative AI, from LLMs to RAG pipelines and prompt engineering.
- Understand how to build and deploy GenAI applications using tools like LlamaIndex, LangChain, and AWS GenAI services.
- Learn to design, test, and optimize AI-driven products 10x faster with real-world frameworks, APIs, and use cases.
- Ideal for developers, data scientists, and product builders looking to break into the GenAI space with hands-on projects.
- Whether you’re just starting or upskilling, this path helps you master GenAI workflows and tools—from basics to production.
Course on Generative AI Learning Path
- Generative AI with AWS
- Build Product 10x Faster with GenAI
- Building Your first RAG System using LlamaIndex – Free Course
- Building LLM Applications using Prompt Engineering – Free Course
- Getting Started with Large Language Models
- GenAI for Everyone
- Generative AI – A Way of Life
Generative AI with AWS Course Quiz Answers 100% Correct
Question 1. Which AWS service acts as a marketplace for various foundation models, allowing access to generative AI models from different providers?
Choose only ONE best answer.
A.SageMaker
B. Lex
C. Bedrock
D. Rekognition
Answer. Bedrock
Question 2. What AWS service is primarily used for building, training, and deploying machine learning models, including those for generative AI?
Choose only ONE best answer.
A. Bedrock
B. Lex
C. Rekognition
D. SageMaker
Answer. SageMaker
Question 3. Which service is best suited for building conversational AI applications, such as chatbots?
Answer.
Choose only ONE best answer.
A. SageMaker
B. Bedrock
C. Rekognition
D. Lex
Answer. SageMaker
Question 4. Which AWS service analyzes images to identify objects, scenes, and faces?
Choose only ONE best answer.
A. Transcribe
B. Textract
C. Rekognition
D. Comprehend
Answer. Rekognition
Question 5. What is a key advantage of using AWS services for generative AI compared to using only third-party APIs?
Choose only ONE best answer.
A. Lower Cost
B. Easier Integration with Existing AWS Infrastructure
C. More Model Variety
D. Open-Source Nature
Answer. Easier Integration with Existing AWS Infrastructure
Build Product 10x Faster with GenAI 100% Correct Answers
Question 1. What is the primary benefit of using generative AI in application development?
Choose only ONE best answer.
A. Reduced development costs
B. Increased creativity in design
C. 10x faster development speed
D. Improved code debugging
Answer. 10x faster development speed
Question 2. What is the most crucial element in obtaining high-quality outputs from AI models?
Choose only ONE best answer.
A. Choosing the right AI model
B. Prompt engineering
C. Using a powerful computer
D. Deploying the model effectively
Answer. Prompt engineering
Question 3. Which LangChain technique provides a single example to guide the AI model’s response?
Choose only ONE best answer.
A. Zero-shot prompting
B. Few-shot prompting
C. One-shot prompting
D. Chain-of-thought prompting
Answer. One-shot prompting
Question 4. What is a system message in the context of prompt engineering?
Choose only ONE best answer.
A. A message from the user
B. A message instructing the AI on how to behave
C. A message summarizing the conversation history
D. A message containing the user’s personal information
Question 5. What is the benefit of using structured formats (like JSON) in prompt engineering?
Choose only ONE best answer.
A. It makes the prompts easier to read
B. It helps to ensure consistent and predictable AI responses
C. It speeds up the AI’s processing time
D. It allows for more creative AI outputs
Answer. It helps to ensure consistent and predictable AI response
Deep Dive Into AI Development
Question 1. What is a primary function of Cursor AI, as discussed in the module?
Choose only ONE best answer.
A. Generating marketing materials
B. Creating complex spreadsheets
C. Code generation and question answering based on code
D. Designing user interfaces
Answer. Code generation and question answering based on code
Question 2. Which architecture does Cursor AI heavily utilize for its functionality?
Choose only ONE best answer.
A. Microservices architecture
B. Client-server architecture
C. Peer-to-peer architecture
D. Retrieval-Augmented Generation (RAG) architecture
Answer. Retrieval-Augmented Generation (RAG) architecture
What is the purpose of the “.cursor rules” file in a Cursor AI project?
Choose only ONE best answer.
A. To store user authentication credentials
B. To define custom rules for guiding AI output
C. To manage project dependencies
D. To track project version history
Answer. To define custom rules for guiding AI output
Question 4. What platform is primarily used in the module for rapid prototyping and deploying full-stack applications?
Choose only ONE best answer.
A. GitHub
B. Heroku
C. Bold.new
D. Netlify
Answer. Bold.new
Question 5. Which protocol is mentioned in the module as a way to connect Cursor AI to various systems (like Azure)?
Choose only ONE best answer.
A. HTTP
B. HTTPS
C. Model Context Protocol (MCP)
D. FTP
Answer. Model Context Protocol (MCP)