Saurav Prateek

Build a strong foundation in Software Engineering, AI Engineering, Machine Learning and Computer Science.

I am a Computer Science graduate currently working as an Web Solutions Engineer at Google. Previously I have worked as a Software Engineer at GeeksForGeeks.

On this channel we will discuss the foundational concepts around Software Engineering, Agentic Workflows, AI Engineering, Distributed Systems, Machine Learning and System Design.

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Orchestrator - Worker Design Pattern | Agentic Workflow | Powering Deep Research agents
Orchestrator - Worker Design Pattern | Agentic Workflow | Powering Deep Research agents
Agent Builder от OpenAI | Введение в создание рабочих процессов агентов | Без кода
Agent Builder от OpenAI | Введение в создание рабочих процессов агентов | Без кода
Маршрутизация — шаблон проектирования агентного рабочего процесса | Агент, суммирующий профили в ...
Маршрутизация — шаблон проектирования агентного рабочего процесса | Агент, суммирующий профили в ...
Prompt Chaining | Agentic Workflow Design Pattern | LangChain, LangGraph | Python
Prompt Chaining | Agentic Workflow Design Pattern | LangChain, LangGraph | Python
Model Context Protocol (MCP) from scratch | Connecting your AI Agents with external server and tools
Model Context Protocol (MCP) from scratch | Connecting your AI Agents with external server and tools
Vector Embeddings for Semantic Analysis | Introducing Google Gemini Embedding Models
Vector Embeddings for Semantic Analysis | Introducing Google Gemini Embedding Models
Human in the Loop | Interrupting your Agentic Workflow for user input | LangChain | Python
Human in the Loop | Interrupting your Agentic Workflow for user input | LangChain | Python
Building a Corrective RAG | Integrating Web Search as a fallback knowledge base | LangChain | Python
Building a Corrective RAG | Integrating Web Search as a fallback knowledge base | LangChain | Python
Agent that recommend Roles at Google, reviews Resume and outlines Preparation strategies | LangChain
Agent that recommend Roles at Google, reviews Resume and outlines Preparation strategies | LangChain
Building a Self-RAG | Making your Agentic workflows critique through Self-Reflection | LangChain
Building a Self-RAG | Making your Agentic workflows critique through Self-Reflection | LangChain
Building a Text to SQL Agent for handling complex database queries | LangChain | Python
Building a Text to SQL Agent for handling complex database queries | LangChain | Python
Building a Language Model for Auto-completion and Suggestions | Neural Networks | PyTorch | NLP
Building a Language Model for Auto-completion and Suggestions | Neural Networks | PyTorch | NLP
Building Agentic workflow that creates personalized Linkedin Post | Few Shot Prompting | LangChain
Building Agentic workflow that creates personalized Linkedin Post | Few Shot Prompting | LangChain
Building a Character level Language Model from scratch | Neural Networks | PyTorch | NLP
Building a Character level Language Model from scratch | Neural Networks | PyTorch | NLP
Debugging your Agentic Workflows | Threads & Checkpoints | LangChain
Debugging your Agentic Workflows | Threads & Checkpoints | LangChain
Добавьте памяти вашим ИИ-агентам | Управление контекстом для LLM | LangChain
Добавьте памяти вашим ИИ-агентам | Управление контекстом для LLM | LangChain
Tool Calling - Make LLMs talk to Database, APIs and Web | Langchain | Python
Tool Calling - Make LLMs talk to Database, APIs and Web | Langchain | Python
Оптимизируйте рабочий процесс Agentic с помощью параллельного выполнения в LangGraph | LangChain,...
Оптимизируйте рабочий процесс Agentic с помощью параллельного выполнения в LangGraph | LangChain,...
Building a Referral Outreach Agentic Workflow in LangChain | LangGraph, Python (from scratch)
Building a Referral Outreach Agentic Workflow in LangChain | LangGraph, Python (from scratch)
Ep-12. Visualizing the compiled Graph using Mermaid | LangGraph
Ep-12. Visualizing the compiled Graph using Mermaid | LangGraph
Ep-11. RAG framework and LangGraph in action
Ep-11. RAG framework and LangGraph in action
Эп-10. Компиляция рабочего процесса в LangGraph | Настройка графа
Эп-10. Компиляция рабочего процесса в LangGraph | Настройка графа
Эп. 9. Оценка эффективности RAG в LangGraph | Оценка сгенерированного ответа
Эп. 9. Оценка эффективности RAG в LangGraph | Оценка сгенерированного ответа
Эпизод 8. RAG, генерирующий ответы на человеческие подсказки в LangGraph
Эпизод 8. RAG, генерирующий ответы на человеческие подсказки в LangGraph
Ep-7. Build a Conditional Edge in LangGraph
Ep-7. Build a Conditional Edge in LangGraph
Эп. 6. Создание оценщика документов | Оценка документа, полученного из хранилища векторных изобра...
Эп. 6. Создание оценщика документов | Оценка документа, полученного из хранилища векторных изобра...
Ep-5. Create an LLM Model
Ep-5. Create an LLM Model
Ep-4. Retrieving documents from the Vector Store in LangGraph | External Knowledge base for RAG
Ep-4. Retrieving documents from the Vector Store in LangGraph | External Knowledge base for RAG
Эпизод 3. Хранилище векторов в памяти в LangChain | Создание внешней базы знаний в RAG
Эпизод 3. Хранилище векторов в памяти в LangChain | Создание внешней базы знаний в RAG
Ep-2. Nodes, Edges and Shard State in LangGraph
Ep-2. Nodes, Edges and Shard State in LangGraph