Free AI & Data Engineering Courses
Welcome to our educational hub! We offer free, comprehensive courses designed to help you master modern AI and data engineering concepts. Our courses are crafted by industry experts and focus on practical, hands-on learning.
Available Courses
🤖 Large Language Models (LLMs) in Practice
- Understanding LLM architectures and capabilities
- Fine-tuning and prompt engineering
- Best practices for LLM integration
- Real-world applications and case studies
- Performance optimization and cost management
📚 Retrieval Augmented Generation (RAG)
- Core concepts of RAG systems
- Vector databases and embeddings
- Document processing and chunking strategies
- Building production-ready RAG pipelines
- Advanced retrieval techniques
🔄 Data Pipeline Engineering
- Modern data pipeline architectures
- ETL vs. ELT approaches
- Real-time data processing
- Data quality and validation
- Monitoring and maintenance
🎯 Virtual Agents Development
- Designing conversational AI
- Integration with business systems
- Context management and memory
- Error handling and fallback strategies
- Testing and deployment
🔍 Semantic Search Implementation
- Vector search fundamentals
- Embedding models and techniques
- Scaling search solutions
- Relevance optimization
- Hybrid search approaches
Learning Format
Each course includes:
- 📝 Detailed documentation and tutorials
- 💻 Hands-on coding exercises
- 🎥 Video demonstrations
- 🛠️ Real-world project examples
- ✅ Self-assessment quizzes
Who Should Attend?
- Software developers
- Data engineers
- AI/ML engineers
- Technical architects
- IT professionals looking to upskill
Getting Started
- Choose a course from the topics above
- Follow the structured learning path
- Complete hands-on exercises
- Join our community discussions
- Apply concepts to real projects
Prerequisites
- Basic programming knowledge (Python preferred)
- Understanding of basic data structures
- Familiarity with API concepts
- Basic command line experience