कोर्स
78 कोर्स
Generative AI for NLP with PyTorch
Master PyTorch, deep learning, and NLP by building transformer-based models, fine-tuning BERT with Hugging Face, and completing a capstone NLP project comparing LSTM and DistilBERT performance.
Feature Engineering and Feature Stores for AI and ML
Master feature engineering, Feature Stores, and ML pipeline automation using Databricks, MLflow, and orchestration tools to build scalable, production-ready AI/ML data workflows.
人工智能中的数学算法
Explore mathematical algorithms underpinning AI, covering ill-posed inverse problems, functional analysis, frequency domain methods, and stable forecasting to build a solid theoretical and practical AI foundation.
Mathematical Algorithm in AI
Master the mathematical foundations of AI algorithms, covering ill-posed inverse problems, functional analysis, frequency domain methods, and stable forecasting with real-world energy system applications.
Model Context Protocol: Advanced Topics
Deploy AI agents to production using Google's ADK, Vertex AI Agent Engine, Cloud Run, and Memory Bank for persistent cross-session state.
Deploy Production-Ready Agents
Learn to build, optimize, and manage AI agents using Google's Agent Development Kit (ADK). Cover agent setup, tools, memory, state, and behavior.
Advanced Techniques and Applications in Prompt Engineering
Master advanced prompt engineering techniques for AI models like GPT, DALL-E, and BERT, covering A/B testing, multilingual design, bias reduction, and ethical considerations for real-world applications.
English for Critical Analysis
Develop critical analysis skills in English by examining AI, big data, and cultural customs—learn to distinguish facts from opinions, spot bias, and express reasoned perspectives clearly.
Advanced Deep RL Algorithms and Applications
Master advanced deep RL algorithms—DQN extensions, policy gradients, and actor-critic methods—applying them to gaming, stock trading, and NLP environments to solve complex real-world AI challenges.
Mastering Agentic Patterns with Gemini in Python
Explore multi-agent systems using Gemini in Python, mastering coordination, orchestration, and delegation patterns to build sophisticated pipelines where specialized agents collaborate on complex problems.
Parallelizing Gemini Agentic Systems in Python
Master async programming to scale Gemini-powered agentic systems, enabling concurrent API calls, parallel tool execution, and multi-agent coordination for high-throughput Python workloads.
Building Effective Agents with Gemini in Python
Master workflow orchestration, tool integration, and multi-agent patterns using Gemini in Python to build high-performance, autonomous AI agents capable of solving complex, multi-step tasks.