SPECIALIZATION
Developing LLM-Based Apps
October 20th, 2025
Unlock the potential of Large Language Models (LLMs) in our specialized program for graduated fellows.
Enroll now
SPECIALIZATION
Developing
LLM-Based Apps
New dates coming soon
Unlock the potential of Large Language Models (LLMs) in our specialized program for graduated fellows.
Enroll now
SPECIALIZATION
El futuro de la búsqueda de talentos con IA llegó para ayudarte
October 20th, 2025
Unlock the potential of Large Language Models (LLMs) in our specialized program for graduated fellows.
Enroll now
SPECIALIZATION
Developing
LLM-Based Apps
New dates coming soon
Unlock the potential of Large Language Models (LLMs) in our specialized program for graduated fellows.
Enroll now
SPECIALIZATION
Developing LLM-Based Apps
October 20th, 2025
Unlock the potential of Large Language Models (LLMs) in our specialized program for graduated fellows.
Enroll now
SPECIALIZATION
Developing
LLM-Based Apps
New dates coming soon
Unlock the potential of Large Language Models (LLMs) in our specialized program for graduated fellows.
Enroll now
ELEVATE YOUR EXPERTISE
ELEVATE YOUR EXPERTISE
ELEVATE YOUR EXPERTISE
About the specialization
About the specialization
About the specialization
Gain a deep understanding of language models like GPT and LLAMA, exploring key concepts such as attention mechanisms, transformers, and text embeddings. Learn to build LLM-powered applications with frameworks like Hugging Face and LangChain, and develop your own retrieval-augmented generation (RAG) tools.
Master advanced techniques like prompt engineering, X-shot learning, and chain-of-thought reasoning. Dive into the core principles of RAG, including retrieval methods, vector databases, and chunking. Finally, apply your knowledge by building LLM-driven applications with RAG, agents, and various memory strategies.
Learn the fundamentals of language models like GPT and LLAMA, exploring their structures, attention concepts, and tools like Hugging Face and LangChain.
Master techniques such as prompt engineering, X-shot learning, chain of thought, retrieval, embeddings, vector databases, chunking, and model evaluation. Finally, build LLM-based applications using RAG, agents and different types of memory.
Learn the fundamentals of language models like GPT and LLAMA, exploring their structures, attention concepts, and tools like Hugging Face and LangChain.
Master techniques such as prompt engineering, X-shot learning, chain of thought, retrieval, embeddings, vector databases, chunking, and model evaluation. Finally, build LLM-based applications using RAG, agents and different types of memory.
SPECIALIZATION
SPECIALIZATION
Program content
Maser the Coding interview.
Maser the Coding interview.
01
Basics of LLMs.
Different types of LLMs structures and how they work
Attention, Self-Attention
Brief history of LLMs
Widely used LLMs: GPT and LLAMA 2
Hugging Face, Langchain and Chainlit
02
Prompt Engineering
Intro to prompts and prompt engineering
X-Shot Learning and Chain of Thoughts
Risks and Misuses
Practical guide for NLP tasks
03
Information Retrieval, Embeddings, Chunking
Information Retrieval
Retrieval Augmented Generation
Embeddings
Vector Databases
Theory Support Code
Chunking
Model Evaluation
04
Framework for Building LLM-powered apps
Tools
Agents
Chat memory
Types of memories in LangChain
Final Project
LLM-based Recruitment Tool
You will create a professional LLM-based application that analyzes individual profiles to identify suitable job opportunities, matching candidates with relevant positions efficiently.
Enroll now
SPECIALIZATION
SPECIALIZATION
Program content
Program content
Maser the Coding interview.
Maser the Coding interview.
01
01
Basics of LLMs.
Basics of LLMs.
Different types of LLMs structures and how they work
Attention, Self-Attention
Brief history of LLMs
Widely used LLMs: GPT and LLAMA 2
Hugging Face, Langchain and Chainlit
Different types of LLMs structures and how they work
Attention, Self-Attention
Brief history of LLMs
Widely used LLMs: GPT and LLAMA 2
Hugging Face, Langchain and Chainlit
02
02
Prompt Engineering
Prompt Engineering
Intro to prompts and prompt engineering
X-Shot Learning and Chain of Thoughts
Risks and Misuses
Practical guide for NLP tasks
Intro to prompts and prompt engineering
X-Shot Learning and Chain of Thoughts
Risks and Misuses
Practical guide for NLP tasks
03
03
Information Retrieval, Embeddings, Chunking
Information Retrieval, Embeddings, Chunking
Information Retrieval
Retrieval Augmented Generation
Embeddings
Vector Databases
Theory Support Code
Chunking
Model Evaluation
Information Retrieval
Retrieval Augmented Generation
Embeddings
Vector Databases
Theory Support Code
Chunking
Model Evaluation
04
04
Framework for Building LLM-powered apps
Framework for Building LLM-powered apps
Tools
Agents
Chat memory
Types of memories in LangChain
Tools
Agents
Chat memory
Types of memories in LangChain
Final Project
Final Project
LLM-based Recruitment Tool
LLM-based Recruitment Tool
You will create a professional LLM-based application that analyzes individual profiles to identify suitable job opportunities, matching candidates with relevant positions efficiently.
You will create a professional LLM-based application that analyzes individual profiles to identify suitable job opportunities, matching candidates with relevant positions efficiently.
Enroll now
Enroll now
HOW IS IT DONE?
Specialization schedule
The specialization takes place on Tuesdays and Thursdays.
Enroll now
HOW IS IT DONE?
Specialization schedule
The specialization takes place on Tuesdays and Thursdays.
Enroll now
FIND OUT
FIND OUT
FIND OUT
How it works?
How it works?
How it works?
Live sessions
with experts
Live sessions with experts
Live sessions with experts
You will be able to get guidance from experienced instructors during live interactive sessions.
You will be able to get guidance from experienced instructors during live interactive sessions.
Flexible
Schedule
Flexible Schedule
Flexible Schedule
The program schedule is 3-week duration with six live sessions (12 hours total). Two 2-hour sessions per week.
The program schedule is 3-week duration with six live sessions (12 hours total). Two 2-hour sessions per week.
Eligibility
criteria
Eligibility criteria
Eligibility criteria
You must be a Graduated Fellow at Anyone AI and fully up to date with all contractual commitments.
You must be a Graduated Fellow at Anyone AI and fully up to date with all contractual commitments.
Get hands-on experience
Get hands-on experience
Get hands-on experience
You will build skills through hands-on learning with world-class instructors' support.
You will build skills through hands-on learning with world-class instructors' support.
TIME COMMITMENT
TIME COMMITMENT
Specialization schedule
The specialization takes place on Monday and Thursdays.
The specialization takes place on Monday and Thursdays.
Enroll now
Enroll now
LEARN WITH EXPERTS
LEARN WITH EXPERTS
LEARN WITH EXPERTS
About our instructor
About our instructor
About our instructor
Background
Background
Background
Msc. in Data Science from Universidad de Buenos Aires. AI Engineer with 5+ years of experience in Data Science, Machine Learning, LLMs, NLP, and multi-agent architectures, specializing in autonomous AI systems, RAG pipelines.
Expertise
Expertise
Expertise
He focuses on LLMs, NLP, and autonomous agent systems. He has led end-to-end AI implementations, designing multi-agent architectures, scalable LLM-powered applications, and RAG pipelines for document processing and automation. Beyond industry work, he has contributed to academic research and teaching Natural Language Processing (NLP) at leading universities.
NEVER STOP LEARNING
The time is now—enroll today!
NEVER STOP LEARNING
The time is now—enroll today!
NEVER STOP LEARNING
NEVER STOP LEARNING