San Antonio, TX - Regus - One Riverwalk Place

700 North Saint Mary's Street, One Riverwalk Place, Ste 1400, San Antonio, United States, 78205

The venue is easily accessible by car via major highways including I‑35, I‑37, and I‑10, with the convenience of an on-site parking garage and nearby public lots. For those traveling by air, San Antonio International Airport (SAT) is located approximately 8 miles away. Public transit options are also readily available, with several bus lines nearby and the downtown VIA Transit hub just a short walk from the building.

San Antonio, TX – Venture X at River Walk

500 Navarro St, San Antonio, United States, 78205

The venue sits on the second floor of a historic building at 500 Navarro Street, steps from the iconic River Walk. It’s easily reached by car via I‑10, I‑35, or US‑281, with public parking available in a ten-story garage across the street and additional on‑street spots. From San Antonio International Airport (SAT), a taxi or rideshare takes about 13 minutes via I‑410 Inner Loop and I‑35 North. Public transit options include VIA bus routes and the River Walk shuttle with stops near Navarro, making the location highly accessible for attendees without cars.

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Introduction to LLMs and AI Tools for Senior Management

2 Hours

Introduction to LLMs and AI Tool Integration

7 Hours

Large Language Models Meta AI

21 Hours

Generative AI and Large Language Models (LLMs)

14 Hours

Ethical Deployment of LLMs

7 Hours

Cross-Lingual LLMs

14 Hours

LLMs for Financial Market Prediction

14 Hours

LLMs for Environmental Modeling

14 Hours

LLMs for Virtual Reality (VR) and Augmented Reality (AR)

14 Hours

LLMs in Multimodal Applications

14 Hours

LLMs for Cybersecurity

14 Hours

LLMs for Predictive Analytics

14 Hours

Large Language Models (LLMs) and Reinforcement Learning (RL)

21 Hours

LLMs for Content Generation

14 Hours

LLMs for Personalized Education

14 Hours

Fine-Tuning Open-Source LLMs (LLaMA, Mistral, Qwen, etc.)

14 Hours

LLMs for Speech Recognition and Synthesis

14 Hours

LLMs for Automated Customer Support

14 Hours

Parameter-Efficient Fine-Tuning (PEFT) Techniques for LLMs

14 Hours

Fine-Tuning Large Language Models Using QLoRA

14 Hours

LLMs for Sentiment Analysis

21 Hours

LLMs for Code Generation and Documentation

14 Hours

LLMs for Business Intelligence

14 Hours

LlamaIndex: Developing LLM Powered Applications

42 Hours

LlamaIndex: Enhancing Contextual AI

14 Hours

Open AI Agent Development with Mistral AI

14 Hours

Productizing Conversational Assistants with Mistral Connectors & Integrations

14 Hours

Prompt Engineering and Few-Shot Fine-Tuning

14 Hours

LangGraph for Legal Applications

35 Hours

Mistral for Responsible AI: Privacy, Data Residency & Enterprise Controls

14 Hours

LangGraph Applications in Finance

35 Hours

Multimodal LLM Workflows in Vertex AI

14 Hours

Multimodal Applications with Mistral Models (Vision, OCR, & Document Understanding)

14 Hours

Open-Source Model Ops: Self-Hosting, Fine-Tuning and Governance with Devstral & Mistral Models

14 Hours

LangGraph in Healthcare: Workflow Orchestration for Regulated Environments

35 Hours

Advanced LangGraph: Optimization, Debugging, and Monitoring Complex Graphs

35 Hours

Generative AI with Large Language Models (LLMs)

21 Hours

LLMs and Agents in DevOps Workflows

14 Hours

Cost-Effective LLM Architectures: Mistral at Scale (Performance / Cost Engineering)

14 Hours

Building Secure and Responsible LLM Applications

14 Hours

LangGraph for Marketing Automation

14 Hours

Le Chat Enterprise: Private ChatOps, Integrations & Admin Controls

14 Hours

Building Coding Agents with Devstral: From Agent Design to Tooling

14 Hours

Fine-Tuning Models and Large Language Models (LLMs)

14 Hours

Building Dynamic Workflows with LangGraph and LLM Agents

14 Hours

LLMs for Code Understanding, Refactoring, and Documentation

14 Hours

Advanced LLMs for NLP Tasks

21 Hours

LangGraph Foundations: Graph-Based LLM Prompting and Chaining

14 Hours

Introduction to Large Language Models (LLMs)

14 Hours

Enterprise-Grade Deployments with Mistral Medium 3

14 Hours

Getting Started with Ollama: Running Local AI Models

7 Hours

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