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- Build your own small LLM from scratch
- Hands-on model training techniques
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- Fine-tuning pre-trained models
- Real-world AI project implementation
- Deployment strategies for ML models
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- Learn the fundamentals of LLMs
- Build a transformer model from scratch
- Fine-tuning GPT-like models
- Vector embeddings & semantic search
- Create domain-specific chatbots
- Deploying LLMs into real-world apps
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- Learn text preprocessing & embeddings
- Sentiment analysis with ML models
- Build your own text classifier
- Named Entity Recognition (NER)
- Sequence-to-sequence models
- Chatbot development using NLP
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- Supervised & Unsupervised Learning
- Neural Networks & Deep Learning
- Decision Trees, Random Forests, SVMs
- Model optimization & hyperparameter tuning
- End-to-end ML project pipeline
- ML deployment & scalability in production
- MS Word - Document formatting
- MS Excel - Formulas & data analysis
- MS PowerPoint - Presentations
- MS Paint & graphic basics
- Practical projects
- HTML, CSS, JavaScript
- Frontend frameworks
- Backend development
- Database management
- Portfolio building
- Python, Java, C++ basics
- Algorithm development
- Debugging techniques
- Code optimization
- Interview preparation
- Advanced formulas
- Pivot tables
- Data visualization
- Macros & automation
- Business applications
- Python syntax basics
- Data structures
- Functions & modules
- File handling
- Simple projects
- React.js frontend
- Node.js backend
- MongoDB database
- RESTful APIs
- Deployment techniques
- Python syntax & fundamentals
- Data structures & algorithms
- Web scraping with BeautifulSoup
- Data analysis with Pandas & NumPy
- Django/Flask web frameworks
- Core Java concepts
- Object-oriented programming
- Spring & Hibernate frameworks
- RESTful web services
- Build tools: Maven & Gradle
- React components & JSX
- State management with Redux
- React Hooks & Context API
- Routing with React Router
- Testing React applications
- Node.js fundamentals
- Express.js framework
- REST API development
- Authentication & authorization
- Database integration
- SQL queries & joins
- Database design & normalization
- PostgreSQL/MySQL implementation
- Advanced query optimization
- Transaction management
- Python for data science
- Statistical learning concepts
- Scikit-learn & TensorFlow
- Neural networks & deep learning
- Real-world AI projects
- Core C programming concepts
- Object-oriented C++
- Memory management & pointers
- Data structures implementation
- Multi-threading & concurrency
- JSON syntax & structure
- Parsing & generating JSON
- REST API principles
- API authentication methods
- Practical integration projects
- Ethereum & Solidity programming
- Smart contract development
- DeFi applications
- NFT marketplace development
- Blockchain security best practices
- EC2, S3, and Lambda services
- VPC and networking
- Auto-scaling and load balancing
- Docker containerization
- Kubernetes orchestration
- Network security principles
- Penetration testing methodologies
- Cryptography & encryption techniques
- Vulnerability assessment
- Security audit & compliance
- Statistical analysis & hypothesis testing
- Machine learning algorithms
- Data visualization with Tableau
- Big Data processing with Spark
- Real-world data science projects
- Sensor networks & embedded systems
- Arduino & Raspberry Pi programming
- MQTT & IoT communication protocols
- Cloud integration for IoT
- IoT security practices
- Infrastructure as Code (Terraform)
- CI/CD pipeline development
- Docker containerization
- Kubernetes orchestration
- Monitoring & logging solutions
- Qubits and quantum gates
- Quantum algorithms
- Q# programming language
- Quantum cryptography
- IBM Quantum Experience
- Unity 3D development
- AR Foundation framework
- VR interaction design
- 3D modeling basics
- Performance optimization