AI Awareness & Organizational Alignment
This course provides a practical, business-focused introduction to artificial intelligence, designed to build a shared understanding across teams and align AI initiatives with organizational goals. Participants will explore core AI concepts in simple terms, learn how AI is transforming industries, and identify opportunities and risks relevant to their work.
FREE
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Course Overview
Course Curriculum
AI Awareness & Organizational Alignment
39 Learning Materials
What is AI vs ML vs GenAI vs Agentic AI (2 hours)
AI vs. machine learning vs. deep learning vs. neural networks: What’s the difference?
AI agent orchestration patterns
LLM fundamentals, major LLMs & providers (6 hours)
How do Transformers work?
Transformer Architectures
OpenAI Platform
Start building with Claude
Google Gemini Docs
Meta Llama
Hugging Face
Transformer Architectures - Attention based Models
Tokens, embeddings, prompts, context windows (4 hours)
Tokenizer
Vector Embeddings
Prompt Engineering Guide
Context windows
RAG architecture, DataBricks Vector Search and Cortex Search (4 hours)
Retrieval-Augmented Generation (RAG) - I
Retrieval Augmented Generation (RAG) - II
Cortex Search
Vector Embeddings and Chunking (4 hours)
Chunking Strategies for LLM Applications
Vector Search
Cortex Search
Vector Databases and major providers (4 hours)
Pinecone
Milvus
Weaviate
Chroma
AI agents and workflows (4 hours)
Building Effective Agents
AI agent orchestration patterns
Agent Bricks - Production AI Agents
Memory & Langchain (2 hours)
LangChain overview
Model Context Protocol (MCP) (2 hours)
What is the Model Context Protocol
Tool calling (2 hours)
Tool / Function Calling
Tool use with Claude
Responsible AI, governance, hallucinations (4 hours)
Responsible AI at Microsoft
Optimizing LLM Accuracy
System prompts (2 hours)
Prompting best practices
Prompt engineering
Few-shot prompting (1 hours)
Few-Shot Prompting
Prompt engineering
Chain-of-thought (1 hours)
Chain-of-Thought Prompting
Python for AI (2 hours)
OpenAI Python API library
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