Artificial Intelligence
Practical AI skills for modern work, automation and productivity.
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Course Curriculum
8 Sections · 62 Lessons
Module 01
- Module 1: Python Fundamentals for AI Builders
- Setting Up Python: Installation and Initial Setup
- Control Flow Mastery: Conditional Statements and Loops
- Key Data Structures: Lists, Tuples, Sets, and Dictionaries
- Functions and Best Practices in Python
- Modular Programming: Working with Imports, Modules, and Packages
- Handling Files in Python
- Advanced Error Handling Techniques
Module 02
- Introduction to Object-Oriented Programming: Classes and Objects
- Prototyping AI Apps with Streamlit
- Module 2: Core Concepts in Machine Learning & Deep Learning
- Machine Learning Basics: From Regression to Classification
- Introduction to Deep Learning for NLP
- Sequence Prediction with Simple RNNs
- Implementing Neural Networks: Understanding ANN
- Practical Project: Working with RNN for Deep Learning
Module 03
- Demystifying LSTM Networks
- Text Prediction Project: Using LSTM & GRU Models
- Bidirectional RNNs: Improving Text Prediction Accuracy
- Encoder-Decoder Models for Sequence-to-Sequence Tasks
- Understanding Attention Mechanisms in Neural Networks
- The Transformer Model: The Heart of ChatGPT
- Module 3: Generative AI & LangChain Foundations
- Introduction to Generative AI and LLMs
Module 04
- Getting Started with LangChain: A Powerful AI Orchestrator
- Setting Up LangChain with OpenAI
- Understanding LangChain Core Modules and Architecture
- Exploring OpenAI, Ollama, and Other LLM Providers
- Hands-On: Building Your First LLM App with LangChain
- Module 4: Real-World Applications in Generative AI
- Building Intelligent Chatbots with Memory
- Creating Context-Aware Q&A Bots
Module 05
- Full-Stack Generative AI App Development with LangChain
- RAG Project: Combining Llama2 and GROQ API for Document Handling
- NLP-Powered PDF Chatbot Development
- Building a Search Engine Using LangChain Tools and Agents
- Integrating SQL Databases with LangChain for Chat Interfaces
- Easy Text Summarization Techniques with AI
- AI Agent Project: Summarizing YouTube and Web Content
- Module 5: Advanced AI Integrations & System Development
Module 06
- Solving Complex Math Problems with Google GenAI
- Integrating LangChain with Hugging Face Models
- RAG Pipeline Development with AstraDB
- Multilingual AI Assistant with CodeLlama
- Deploying AI Applications with Streamlit and Hugging Face
- Setting Up AI Infrastructure on AWS
- Introduction to Nvidia NIM with LangChain
- Building Multi-Agent Systems Using CrewAI
Module 07
- Hybrid Search: Leveraging Vector Databases and Cypher Queries
- Exploring Graph Databases and Cypher Language
- LangChain with GraphDB: Practical Use Cases
- Module 6: Advanced Fine-Tuning & Deployment Strategies
- Fine-Tuning Large Language Models (LLMs): Process and Best Practices
- Full Workflow for Fine-Tuning with Lamini
- Building Multi-Actor, Stateful AI Systems Using LangGraph
- Module 7: Deploying AI Models with Flask
Module 08
- Flask Basics: Setting Up an AI Deployment Project
- Integrating LLMs and AI Models with Flask Applications
- Creating REST APIs for AI Services
- Managing File Uploads in AI-Based Apps
- Deploying Flask Apps on the Cloud
- Exploring Advanced Flask + AI Deployment Use Cases
What You'll Learn
Practical skills covered across this Skillify training.
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