Master AI Development • Build Production Applications • Deploy at Scale
🎯 Master OpenAI Agent Builder - Low-Code AI Projects Workflow
🎯 Build and deploy AI agents visually using OpenAI Agent Builder, ChatKit, RAG, Chatbot, AI Assistant with MCP, AWS, RDS MySQL
What You'll Master:
- ✅ Visual AI Development: Build AI agents without complex coding using OpenAI Agent Builder
- ✅ Real-World Integration: Connect AI workflows with MySQL, AWS, and MCP connectors
- ✅ Production Deployment: Deploy AI agents with ChatKit and Guardrails for safety
- ✅ Complete Projects: Weather Agent, RAG Document Q&A Chatbot, E-Commerce AI Assistant
- ✅ Database Integration: AWS RDS MySQL connection and management
- ✅ Cloud Deployment: AWS Lambda and API Gateway for production use
🎯 Technologies: OpenAI Agent Builder • ChatKit • AWS • RDS MySQL • MCP • Lambda • API Gateway
🔥 MCP Mastery: Build AI Apps with Claude, LangChain and Ollama
🎯 Build MCP servers & clients with Python, Streamlit, ChromaDB, LangChain, LangGraph agents, and Ollama integrations
What You'll Master:
- ✅ MCP Architecture: Client, server, and transport layers
- ✅ Claude Desktop Integration: Direct MCP server connections
- ✅ Real-World Applications: Data analysis servers for Excel, PowerPoint, SQLite
- ✅ RAG Implementation: Vector databases with LangChain integration
- ✅ Production Deployment: Testing, security, and cloud deployment
🎯 Technologies: Python • Streamlit • ChromaDB • LangChain • LangGraph • Ollama
📊 Agentic RAG with LangChain and LangGraph - Ollama
🎯 Step-by-Step Guide to RAG with LangChain, LangGraph, and Ollama | DeepSeek R1, QWEN, LLAMA, FAISS
Advanced RAG Techniques:
- 🧠 Agentic RAG: Intelligent, adaptive systems that act like smart assistants
- 🔄 Corrective RAG: Self-improving and error-correcting mechanisms
- 📊 Document Processing: Doclings integration for seamless document loading
- 🚀 Production Ready: Streamlit apps and AWS EC2 deployment
Technologies: LangChain • LangGraph • Ollama • DeepSeek R1 • QWEN • LLAMA • FAISS
🔧 Master LangGraph and LangChain with Ollama
🎯 Agentic RAG and Chatbot, AI Agent, DeepSeek, LLAMA 3.2 Agent, FAISS Vector Database
Build Production Chatbots:
- 💬 Memory-Enabled Chatbots: Dynamic conversations with persistent memory
- 🗄️ Database Integration: Seamless MySQL query execution with LLMs
- 📈 State Management: LangGraph workflows with advanced state machines
- 🎯 Private Data RAG: Custom embeddings and vector database integration
Technologies: LangGraph • LangChain • Ollama • DeepSeek • LLAMA 3.2 • MySQL • FAISS
⚡ Master Langchain and Ollama - Chatbot, RAG and Agents
🎯 Master Langchain v0.3, Local LLM Projects, Ollama, DeepSeek, LLAMA 3.2, Complete Integration Guide
Complete LangChain Journey:
- 🛠️ Setup & Integration: Professional Ollama and Langchain configuration
- 💬 Custom Chatbots: Memory, history, and advanced features with Streamlit
- ⛓️ Prompt Engineering: Templates, chains (Sequential, Parallel, Router)
- 🤖 Agent Development: Custom tools and step-by-step instruction execution
- 🚀 AWS Deployment: Production-ready applications on AWS EC2
Technologies: Langchain v0.3 • Ollama • DeepSeek • LLAMA 3.2 • Streamlit • AWS EC2
🔬 Fine Tuning LLM with Hugging Face Transformers for NLP
🎯 Learn transformer architecture fundamentals and fine-tune LLMs with custom datasets
Advanced LLM Customization:
- 🧠 Transformer Deep Dive: Architecture fundamentals and mathematical foundations
- 📊 Custom Dataset Preparation: Data preprocessing and formatting techniques
- ⚡ Fine-tuning Mastery: Advanced optimization and training strategies
- 🎯 Model Optimization: Performance tuning and evaluation methodologies
Technologies: Hugging Face Transformers • PyTorch • Custom Datasets • Advanced NLP
🧠 Deep Learning for Beginners with Python
🎯 Neural Networks, TensorFlow, ANN, CNN, RNN, LSTM, Transfer Learning and Much More
Complete Neural Network Mastery:
- 🔗 Artificial Neural Networks (ANN): Build from mathematical foundations
- 👁️ Convolutional Neural Networks (CNN): Image processing and computer vision
- 🔄 Recurrent Neural Networks (RNN): Sequential data and time series analysis
- 📝 LSTM Networks: Advanced sequence modeling and memory networks
- 🔄 Transfer Learning: Leverage pre-trained models for custom applications
Technologies: Python • TensorFlow • Keras • Neural Network Architectures • Computer Vision
🚀 Advanced Machine Learning and Deep Learning Projects
🎯 Build advanced projects using transformer models like BERT, GPT-2, and XLNet
Cutting-Edge Project Portfolio:
- 🤖 BERT Implementation: Natural language understanding and classification
- 💭 GPT-2 Applications: Text generation and completion systems
- ⚡ XLNet Techniques: Bidirectional language modeling
- 🎯 Multi-modal AI: Combine text, image, and audio processing
- 🔧 Custom Architectures: Design and implement specialized models
Technologies: BERT • GPT-2 • XLNet • Advanced Transformers • Multi-modal AI
📈 Python for Linear Regression in Machine Learning
🎯 Master statistical foundations and practical implementation of regression analysis
Statistical Mastery:
- 📊 Regression Theory: Mathematical foundations and statistical principles
- 📈 Hypothesis Testing: Statistical validation and significance testing
- 🔢 Feature Engineering: Variable selection and transformation techniques
- 🎯 Model Evaluation: R-squared, RMSE, and comprehensive diagnostics
- 💼 Business Applications: Real-world predictive modeling scenarios
Technologies: Python • Scikit-Learn • Statistical Analysis • Pandas • NumPy
🎯 Machine Learning & Data Science for Beginners in Python
🎯 Complete foundation in ML and DL using Python, Scikit-Learn, Keras, and TensorFlow
Complete Foundation:
- 🐍 Python for Data Science: From basics to advanced data manipulation
- 📊 Data Analysis Mastery: Pandas, NumPy, and exploratory data analysis
- 🤖 Machine Learning: Supervised and unsupervised learning algorithms
- 🧠 Deep Learning Introduction: Neural networks with Keras and TensorFlow
- 📈 Data Visualization: Professional charts and insights presentation
Technologies: Python • Scikit-Learn • Pandas • NumPy • Matplotlib • TensorFlow
💬 Natural Language Processing in Python for Beginners
🎯 Build NLP models using Python with Spacy, NLTK, and modern NLP techniques
NLP Expertise:
- 🔤 Text Processing: Spacy and NLTK for production-ready NLP
- 📊 Sentiment Analysis: Emotion detection and opinion mining
- 🏷️ Named Entity Recognition: Extract people, places, organizations
- 🔍 Text Classification: Document categorization and content analysis
- 🎯 Feature Engineering: TF-IDF, word embeddings, and advanced features
Technologies: Python • Spacy • NLTK • NLP Pipelines • Text Analytics
🌐 Deploy ML Model in Production with FastAPI and Docker
🎯 Professional deployment strategies using FastAPI, Docker, and modern DevOps practices
Production Deployment Mastery:
- 🌐 FastAPI Development: High-performance API creation for ML models
- 🐳 Docker Containerization: Scalable and portable deployment solutions
- ☁️ Cloud Deployment: AWS, GCP, and Azure deployment strategies
- 🔒 Security & Monitoring: Authentication, logging, and performance monitoring
- ⚡ DevOps Integration: CI/CD pipelines and automated deployment
Technologies: FastAPI • Docker • Cloud Platforms • DevOps • Production Security
📊 Data Visualization in Python Masterclass for Beginners
🎯 Professional visualization and dashboard development using modern Python libraries
Visualization Excellence:
- 📈 Matplotlib Mastery: Static plots with professional customizations
- 🎨 Seaborn Styling: Statistical visualizations and advanced aesthetics
- ⚡ Plotly Interactive: Dynamic charts and real-time dashboards
- 📊 Dashboard Development: Streamlit and Dash applications
- 💼 Business Intelligence: Professional reporting and data storytelling
Technologies: Matplotlib • Seaborn • Plotly • Streamlit • Dash • Business Analytics
|
🤖 AI & LLM
|
📊 ML & Data Science
|
🚀 Deployment & Production
|
Master OpenAI Agent Builder - Low-Code AI Projects Workflow
↓
Master Langchain and Ollama - Chatbot, RAG and Agents
↓
Master LangGraph and LangChain with Ollama
↓
Agentic RAG with LangChain and LangGraph - Ollama
↓
MCP Mastery: Build AI Apps with Claude, LangChain and Ollama
↓
Fine Tuning LLM with Hugging Face Transformers for NLP
Python for Linear Regression in Machine Learning
↓
Machine Learning & Data Science for Beginners in Python
↓
Natural Language Processing in Python for Beginners
↓
Deep Learning for Beginners with Python
↓
Advanced Machine Learning and Deep Learning Projects
Machine Learning & Data Science for Beginners in Python
↓
Deep Learning for Beginners with Python
↓
Data Visualization in Python Masterclass for Beginners
↓
Deploy ML Model in Production with FastAPI and Docker
Machine Learning & Data Science for Beginners in Python
↓
Deep Learning for Beginners with Python
↓
Natural Language Processing in Python for Beginners
↓
Master OpenAI Agent Builder - Low-Code AI Projects Workflow
↓
Master Langchain and Ollama - Chatbot, RAG and Agents
↓
Master LangGraph and LangChain with Ollama
↓
Agentic RAG with LangChain and LangGraph - Ollama
↓
MCP Mastery: Build AI Apps with Claude, LangChain and Ollama
↓
Advanced Machine Learning and Deep Learning Projects
↓
Data Visualization in Python Masterclass for Beginners
↓
Deploy ML Model in Production with FastAPI and Docker
↓
Fine Tuning LLM with Hugging Face Transformers for NLP
"The MCP course is absolutely game-changing! I went from zero knowledge to building production-ready AI applications in just a week."
"Best LangChain course on the internet. Practical, up-to-date, and the projects are industry-relevant."
"Finally understood how to deploy ML models properly. The FastAPI + Docker approach saved my company thousands."
| 📈 Metric | 🎯 Achievement |
|---|---|
| Total Students | 100,000+ Active Learners |
| Course Rating | ⭐⭐⭐⭐⭐ (4.8/5.0) |
| Courses Available | 11+ Comprehensive Programs |
| Hours of Content | 100+ Hours of Learning |
| Projects Included | 50+ Hands-on Projects |
| Technologies Covered | 30+ Modern Frameworks |
