Generative AI refers to a type of artificial intelligence technology that can generate new content based on the data it has been trained on. This includes text, images, music, video, and other forms of media. The AI learns from a large dataset to recognize patterns, styles, or features and then uses this understanding to create new, original content that mimics the input it has studied.
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Generative AI refers to a type of artificial intelligence technology that can generate new content based on the data it has been trained on. This includes text, images, music, video, and other forms of media. The AI learns from a large dataset to recognize patterns, styles, or features and then uses this understanding to create new, original content that mimics the input it has studied.
Generative AI refers to a type of artificial intelligence technology that can generate new content based on the data it has been trained on. This includes text, images, music, video, and other forms of media. The AI learns from a large dataset to recognize patterns, styles, or features and then uses this understanding to create new, original content that mimics the input it has studied.
The course will present you with a foundational understanding of AI. The course has several modules where you will be explained basic concepts around AI, Machine Learning, Deep Learning, Generative AI, Large Language Models (LLMs) , ChatGPT , Azure Open AI
The Topics that will be covered are as follows:
AI Concepts & Workloads
What is AI ?Benefits of Artificial Intelligence (AI)Types of AI WorkloadsAI vs ML vs DLQuiz TimeAI Concepts Quiz
Machine Learning Machine Learning - Real World ExampleMachine Learning - Key TerminologiesWhat is Machine Learning ?Types of Machine LearningWhat is Supervised Machine Learning ?What is Classification in SML ?What is Regression in SML ?What is Unsupervised Machine Learning ?What is Re-inforcement Machine LearningWhat is a Jupyter NotebookDemo: Understanding the IRIS DatasetDemo: Creating & Training your ML Model
Deep Learning
What is Deep Learning ?
What is a Neural Network ?Deep Learning ModelsWhat is a Transformer Model?Demo: GANs - Deep Fake VideoDemo- Creating & Training Deep Learning Model
Generative AI
What is Generative AI ?Predictive AI vs Generative AIWhat is GPT ?GPT-3 vs GPT-4What is LLM ?
What is Embedding?
What is a Vector Database
Relationship between Embedding vs Vector DatabaseWhat is Prompt Engineering ?
AI Infrastructure
What is a GPU ?Demo: CPU Vs GPUWhat is High Performance ComputeWhat is RDMA Cluster Network
OpenAI
What is OpenAI ?
What is ChatGPT
Demo on chatgpt
Time to reach 100M users
Get an understanding of Various ChatGPT Models
GPT-3 vs GPT-4
What are tokens ?
Pricing Model for ChatGPT
Demo: How to make API Calls with
Demo: Image generation using DALL·E in the API
Demo: Convert Speech to Text
Azure OpenAI
What is Azure OpenAI
History behind Azure OpenAI
Models available with Azure OpenAI (regions)
Limits & Quotas
How Pricing works in Azure OpenAI
What is Azure OpenAI Studio ?
Chats Playground
Completions Playground
Creating Images using DALL-E
Bring your own Data - RAG with Azure AI Search
What is Azure AI Search
How Vector Search Works with Azure AI Search
Understanding the ACAS Data (Your Private Data)
Pre-reqs for RAG with Azure AI Search
Create a Storage Account
Create an Embedding Deployment
Create a chats deployment
Create Azure AI Search Resource
Uploads Documents to Chats Deployment
Perform Queries - Using your Own Data
Azure Open AI Fine Tuning
What is Fine Tuning ?
Understanding of Fine Tuning Regions & Models
Use Cases of Fine Tuning
Demo: Create Azure OpenAI Service in US East2
Demo: Prepare & Upload data
Demo: Create a Fine Tuning Job
Demo: Evaluate Fine Tuning Model
Demo: Deploy the Fine Tuned Model
Demo: Query the Fine Tuned Model-Part1
Demo: Query Fine Tuned Model - Part 2
Azure Open AI Content Filtering
What is Content Filtering ?
Categories Covered
Jailbreak / Prompt Shield
Demo: Impact of Content Filtering
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What's inside
Learning objectives
- Ai concepts & workloads
- Machine learning foundations
- Types of machine learning
- Demo lab on machine learning
- Deep learning foundations
- Types of deep learning
- Demo lab on deep learning
- Generative ai foundations
- Embeddings vs vector databases
- Ai infrastructure
- Openai / chatgpt / apis
- Azure openai
- Bring your own data - rag with azure ai search
- Azure openai fine tuning
- Azure openai content filtering
- Azure openai - iam / rbac model
- Azure openai - making api calls (python codes)
- Assistants api
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- Ai concepts & workloads
- Machine learning foundations
- Types of machine learning
- Demo lab on machine learning
- Deep learning foundations
- Types of deep learning
- Demo lab on deep learning
- Generative ai foundations
- Embeddings vs vector databases
- Ai infrastructure
- Openai / chatgpt / apis
- Azure openai
- Bring your own data - rag with azure ai search
- Azure openai fine tuning
- Azure openai content filtering
- Azure openai - iam / rbac model
- Azure openai - making api calls (python codes)
- Assistants api
- Show more
- Show less
Syllabus
What is AI ?
What is Classification in SML ?
AI Concepts & Workloads- Title
History of AI
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Syllabus
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Activities
Review basic SQL commands
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Start the course with a refreshed understanding of the fundamental commands and structures of the SQL language.
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SQL
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Review online documentation or tutorials on basic SQL commands, such as SELECT, WHERE, and JOIN.
-
Practice writing SQL queries to retrieve and filter data from a sample database.
Participate in SQL discussion forums and communities
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Engage with other SQL learners and practitioners to share knowledge, discuss best practices, and get support when needed.
Browse courses on
SQL
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-
Identify online forums or communities dedicated to SQL discussions, such as Stack Overflow or Reddit.
-
Actively participate in discussions, ask questions, provide answers, and share your own experiences.
Explore advanced SQL features and techniques
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Expand your knowledge of SQL by delving into advanced features and techniques that can enhance your data manipulation and analysis capabilities.
Browse courses on
SQL
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-
Identify specific advanced SQL features or techniques that you want to learn, such as window functions, stored procedures, or triggers.
-
Find online tutorials or courses that provide comprehensive explanations and examples of these advanced concepts.
-
Follow the tutorials, practice writing code, and experiment with the features in a development environment.
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Solve SQL coding challenges
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Enhance your problem-solving skills and reinforce your understanding of SQL syntax by tackling coding challenges.
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SQL
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-
Find online platforms or resources that offer SQL coding challenges.
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Attempt to solve the challenges independently, focusing on optimizing your queries and code efficiency.
-
Review solutions and explanations to gain insights into alternative approaches and best practices.
Mentor junior SQL learners or enthusiasts
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Share your knowledge and experience to support the growth of aspiring SQL learners and contribute to the community.
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Mentoring
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Identify platforms or organizations where you can connect with junior SQL learners who need guidance.
-
Offer your support, answer questions, provide feedback, and encourage their learning journey.
Contribute to open-source SQL projects or libraries
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Make meaningful contributions to the SQL community by participating in open-source projects and extending the capabilities of existing libraries.
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Open Source
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-
Identify open-source SQL projects or libraries that align with your interests and skills.
-
Review the project documentation and codebase to understand its purpose and architecture.
-
Identify areas where you can contribute, such as bug fixes, feature enhancements, or documentation improvements.
-
Submit pull requests with clear explanations and well-tested code.
Develop a data visualization dashboard
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Demonstrate your proficiency in data analysis and presentation by creating an interactive dashboard that visualizes key insights from a dataset.
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Data Visualization
Show steps
-
Select a dataset and identify the key metrics and insights you want to convey.
-
Choose a data visualization tool and learn its features for creating interactive dashboards.
-
Design and develop the dashboard, ensuring it is visually appealing, user-friendly, and effectively communicates the data insights.
-
Test the dashboard and make necessary adjustments to improve its functionality and usability.
Develop a data-driven solution to a real-world problem
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Apply your SQL skills to a practical problem and demonstrate your ability to extract insights, make informed decisions, and create value from data.
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Data Analysis
Show steps
-
Identify a real-world problem or challenge that can be addressed using data analysis and SQL.
-
Gather and preprocess the necessary data from relevant sources.
-
Analyze the data using SQL, identify patterns, and draw meaningful conclusions.
-
Develop a data-driven solution or recommendation based on your analysis.
-
Present your findings and solution in a clear and compelling manner.
Review basic SQL commands
Show steps
Start the course with a refreshed understanding of the fundamental commands and structures of the SQL language.
Browse courses on
SQL
Show steps
- Review online documentation or tutorials on basic SQL commands, such as SELECT, WHERE, and JOIN.
- Practice writing SQL queries to retrieve and filter data from a sample database.
Participate in SQL discussion forums and communities
Show steps
Engage with other SQL learners and practitioners to share knowledge, discuss best practices, and get support when needed.
Browse courses on
SQL
Show steps
- Identify online forums or communities dedicated to SQL discussions, such as Stack Overflow or Reddit.
- Actively participate in discussions, ask questions, provide answers, and share your own experiences.
Explore advanced SQL features and techniques
Show steps
Expand your knowledge of SQL by delving into advanced features and techniques that can enhance your data manipulation and analysis capabilities.
Browse courses on
SQL
Show steps
- Identify specific advanced SQL features or techniques that you want to learn, such as window functions, stored procedures, or triggers.
- Find online tutorials or courses that provide comprehensive explanations and examples of these advanced concepts.
- Follow the tutorials, practice writing code, and experiment with the features in a development environment.
Solve SQL coding challenges
Show steps
Enhance your problem-solving skills and reinforce your understanding of SQL syntax by tackling coding challenges.
Browse courses on
SQL
Show steps
- Find online platforms or resources that offer SQL coding challenges.
- Attempt to solve the challenges independently, focusing on optimizing your queries and code efficiency.
- Review solutions and explanations to gain insights into alternative approaches and best practices.
Mentor junior SQL learners or enthusiasts
Show steps
Share your knowledge and experience to support the growth of aspiring SQL learners and contribute to the community.
Browse courses on
Mentoring
Show steps
- Identify platforms or organizations where you can connect with junior SQL learners who need guidance.
- Offer your support, answer questions, provide feedback, and encourage their learning journey.
Contribute to open-source SQL projects or libraries
Show steps
Make meaningful contributions to the SQL community by participating in open-source projects and extending the capabilities of existing libraries.
Browse courses on
Open Source
Show steps
- Identify open-source SQL projects or libraries that align with your interests and skills.
- Review the project documentation and codebase to understand its purpose and architecture.
- Identify areas where you can contribute, such as bug fixes, feature enhancements, or documentation improvements.
- Submit pull requests with clear explanations and well-tested code.
Develop a data visualization dashboard
Show steps
Demonstrate your proficiency in data analysis and presentation by creating an interactive dashboard that visualizes key insights from a dataset.
Browse courses on
Data Visualization
Show steps
- Select a dataset and identify the key metrics and insights you want to convey.
- Choose a data visualization tool and learn its features for creating interactive dashboards.
- Design and develop the dashboard, ensuring it is visually appealing, user-friendly, and effectively communicates the data insights.
- Test the dashboard and make necessary adjustments to improve its functionality and usability.
Develop a data-driven solution to a real-world problem
Show steps
Apply your SQL skills to a practical problem and demonstrate your ability to extract insights, make informed decisions, and create value from data.
Browse courses on
Data Analysis
Show steps
- Identify a real-world problem or challenge that can be addressed using data analysis and SQL.
- Gather and preprocess the necessary data from relevant sources.
- Analyze the data using SQL, identify patterns, and draw meaningful conclusions.
- Develop a data-driven solution or recommendation based on your analysis.
- Present your findings and solution in a clear and compelling manner.
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