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Gain mastery in current AI shifts with training from real experts. Learn directly from active builders who deploy AI to production. Our instructor roster is highly vetted, ensuring you receive exceptional, up-to-speed insights whether you choose a broad educational path or a highly specialized learning track.

Master the skills that power today’s AI using the latest tools, languages, and frameworks with renowned instructors and leading experts. 

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Master the skills that power today’s AI using the latest tools, languages, and frameworks with renowned instructors and leading experts.  

 

Master the skills that power today’s AI
  • Latest tools, languages, and frameworks
  • Renowned instructors and leading experts. 

 

Master the skills that power today’s AI using the latest tools, languages, and frameworks with renowned instructors and leading experts.  

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This is your final chance to get the best deal for an unparalleled experience. Secure your spot at the leading AI & data science event on the West Coast and lock in the absolute lowest price available! 

📍  Join us October 28–30 in Burlingame, CA, for ODSC’s 10th anniversary celebration! Be among the first to immerse yourself in cutting-edge insights from the brightest minds in AI.

Don’t Miss Your Chance to Train with the Experts in: đź’ˇ LLMs & GenAI đź’ˇAgentic AI & MLOps đź’ˇMachine Learning & Deep Learning đź’ˇNLP, Robotics, and More

This is more than just a conference; it’s your opportunity to learn from world-class instructors, forge invaluable connections within the AI community, and future-proof your skills. Whether you prefer to join us in-person or virtually, the team is thrilled to celebrate this milestone with you.

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🟣 The AI landscape is exploding, with agents poised to revolutionize industries. But there’s a critical missing piece hindering their true potential: a chaotic tangle of uncoordinated actions, opaque decision-making, and frustrating bottlenecks.

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🟣 MCP is the dynamic brain that brings order to the AI agent revolution. Imagine seamless orchestration of diverse AI models, lightning-fast task execution, and crystal-clear visibility into every decision. 

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Stop Reading. Start Building. Master Agentic AI in 1 Day in NYC | 20th January 2026

This hands-on immersive experience, led by ODSC AI Founder Sheamus McGovern, is your fast track to mastering core principles like ReAct prompting, LLM reasoning, and advanced multi-agent architecture with CrewAI.

Located at Serendipity Labs in the Financial District, NY, you’ll engage in practical sessions using tools like Langflow, and learn to integrate memory (RAG) and structured task execution. You won’t just observe; you will build working prototypes, leaving with both a Certificate of Completion and the expertise to deploy cutting-edge agentic workflows into your products.

Whether you’re a developer, executive, or innovator, secure your spot now to gain the skills needed to lead the next AI revolution—Action Now: Secure Your Spot & Save!

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Master Agentic AI: Build, Deploy & Scale Autonomous Agents – JAN 21 – FEB 5 – Virtual

Dive deep into the foundations of autonomous systems with 50+ workshops & demos led by 30+ expert instructors. You’ll gain practical, job-ready skills in key areas like:

  • Agent Architecture and Design

  • Multi-Agent Collaboration

  • Advanced Reasoning and Memory Systems (RAG)

  • Top Agentic Frameworks (CrewAI, AutoGen, LangGraph, etc.)

  • Agent Evaluation and Benchmarking

Beyond theory, this is a hands-on event focused on production deployment. Plus, every attendee receives $2,500 in exclusive AI Platform Credits to immediately start building, testing, and scaling their agents. Accelerate your path from curiosity to capability!

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6-Week | 8-Course Bootcamp | Virtual

FEB 24 – APR 2

Begin your bootcamp journey with Live and on-demand training to build confidence in the fundamentals. Steadily progress through the Bootcamp week with our hands-on training and expert-led sessions and workshops.

Why you start here: Build your unshakeable core. This phase guarantees success, ensuring you confidently grasp essential AI concepts and tools, from basic literacy to advanced AI building blocks.

What you gain: Master AI/Data Literacy, Python, Data Wrangling, Generative AI fundamentals, LLMs, RAG, and the crucial progression to AI Agents, plus Machine Learning basics, through 8 live virtual courses and on-demand training. Gain foundational fluency to accelerate your entire AI journey.

8 VIRTUAL LIVE TRAINING | SESSIONS LENGTH: 2.5 HOURS

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Course of the Week

 

Building AI agents used to require complex orchestration, extensive scaffolding, and months of tuning. With Strands Agents, an open source SDK from AWS. You can now build, test, and deploy intelligent agents in just a few lines of code. This session introduces the model-driven approach behind Strands, where a model, a prompt, and a set of tools are all you need to create powerful, production-ready agents.

Learn how Strands leverages modern foundation models to handle reasoning, tool use, and reflection, reducing development time from months to days.
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ODSC East 2025 Virtual brings the expert-led training, real-world AI applications, and immersive workshops – accessible from anywhere.

Whether you’re looking to level up your LLMOps skills, dive into Generative AI, or get hands-on with Agentic AI, you’ll find 80+ sessions across 10+ tracks built for practitioners like you.

What makes it worth your time: 🔸 Live & interactive sessions 🔸 Real-world case studies and tools 🔸 Practical, hands-on training you can apply immediately 🔸 Learn from wherever you are

Training: Agentic AI in Action: Build Autonomous, Multi-Agent Systems Hands-On in Python

Workshop: Getting Started with Multi-Agents applications

Tutorial: Hill Climbing: Best Practices for Evaluating LLMs

Workshop: Debugging and Monitoring LLMs in Production

Keynote: Toward Public and Reproducible Foundation Models Beyond Lingual Intelligence

Keynote: Effective AI Decision Support: Overcoming Both Human and AI Fallability

Training: Beyond Benchmarks: Evaluating AI Agents, Multimodal Systems, and Generative AI in the Real World

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Time Series Mastery: Hand-on Workshops

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Talk: Optimizing Forecast Stability and Accuracy

Talk: Optimizing Forecast Stability and Accuracy

Talk: State of Foundation Models For Time Series Forecasting

Hand-on Training: Unlocking the Future with AI Driven Time Series Forecasting

Hand-on Workshop: Forecasting the Future Using Time Series

Talk: New Frontiers in Time Series Foundation Models

Large Language Models & Fine-Tuning

Hand-on Training:Cracking the Code: How to Choose the Right LLMs Model for Your Project

Hands-on Training: LLM Engineering Masterclass: Select and apply LLMs using RAG, fine-tuning and Agentic AI

Hand-on Workshop: Cloning NotebookLM with Open Weights Models

Tutorial: Transforming Enterprise AI with Small Language Models

Hand-on Training: Fine-tune Your Own Open-Source Small Language Models (SLMs)

Hands-on Workshop:Building High Accuracy LLMs using a Mixture of Memory Experts

Retrieval Augmented Generation

Hands-on Workshop: Evaluating Retrieval-Augmented Generation and LLM-as-a-Judge Methodologies

Hands-on Training: Database Patterns for RAG: Single Collections vs Multi-tenancy

Hands-on Workshop: Secure Your RAG Pipelines with Fine Grained Authorization

Hands-on Training: From Reviews to Insights: RAG and Structured Generation in Practice

Hands-on Training: Introduction to RAG – Retrieval Augmented Generation

AI Agents & Agentic Workflows

Hand-on Workshop: Modern AI Agents from A-Z: Building Agentic AI to Perform Complex Tasks

Hands-on Workshop: AI Agents – A practical Implementation

Hand-on Workshop: Building AI Agent Workflows: Automating Research Papers to Podcasts

Hands-on Workshop: Building agentic RAG with LlamaIndex Workflows

Hands-on Workshop: Building and Evaluating Agents with LangGraph and RAG

Hand-on Workshop: Using World Models to build AI agents for Optimal Decision Making

Hand-on Workshop: Real-World Workflows for Solving Everyday Problems with AI

Hands-on Training: Introduction to AI Agents  & Agentic Workflows

AI Builder Demo: From Idea to Implementation: How to Self-Host an AI Agent

Hands-on Workshop: Advancing GraphRAG: Multimodal Integration with Associative Intelligence

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LIVE TRAINING: June 10th, 2021

Part 2: Computer Science

Through the measured exposition of theory paired with interactive examples, you’ll develop a working understanding of all of the essential data structures across the list, dictionary, tree, and graph families

LIVE TRAINING: JUNE 15th, 2021

Matt Brems will cover introduction to Natural Language Processing including cleaning text data, transforming data with CountVectorizer and and TFIDFVectorizer as well as how to Fit machine learning models in scikit-learn and evaluate their performance. You will also learn how to build pipelines and GridSearch over NLP hyperparameters.

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In today’s fast-paced data environment, the ability to quickly transform raw data into actionable insights is crucial.

The demonstration will follow a real-world workflow:

🔸 Data Ingestion & Exploration: We’ll begin with raw streaming data and use Plotly AI’s natural language interface to explore and understand the dataset.

🔸 Visualization Creation: Through simple prompts, we’ll generate complex visualizations including time-series charts, geographic maps, and statistical plots that update in real-time.

🔸 Dashboard Assembly: We’ll demonstrate how Plotly AI can assemble individual visualizations into a cohesive, interactive dashboard with filtering capabilities and cross-filtering.

🔸 Deployment & Sharing: Finally, we’ll show how the resulting application can be instantly deployed and shared with stakeholders.

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This lightning lesson will introduce you to the fundamentals of structured prompting, showing you how small changes in how you prompt can lead to dramatically better results. You’ll learn how to optimize your prompts for clarity, specificity, and control, ensuring the AI delivers responses that truly meet your needs.

What you’ll learn:

🔸 Recognize the limitations of basic prompting

🔸 Use key prompting techniques for better control and accuracy

🔸 Understand the shift from manual prompt. to programmatic PE

🔸 Powering Retrieval-Augmented Generation (RAG) and Agentic AI

🔸 Enhance reasoning and decision-making with better prompts

 

 

 

 

 

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Introduction to Large Language Models

Introduction to Prompt Engineering

Introduction to Generative AI

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 Building a Q&A Bot with Large Language Models

Fine Tuning LLMs and Embedding Models

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LIVE TRAINING: June 10th, 2021

Part 2: Computer Science

Through the measured exposition of theory paired with interactive examples, you’ll develop a working understanding of all of the essential data structures across the list, dictionary, tree, and graph families

LIVE TRAINING: JUNE 15th, 2021

Matt Brems will cover introduction to Natural Language Processing including cleaning text data, transforming data with CountVectorizer and and TFIDFVectorizer as well as how to Fit machine learning models in scikit-learn and evaluate their performance. You will also learn how to build pipelines and GridSearch over NLP hyperparameters.

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This 6-weeks Bootcampis  an introduction to deep neural networks that brings high-level theory to life with working, interactive examples featuring TensorFlow 2, Keras, and PyTorch — all three of the principal Python libraries for deep learning. Essential theory will be covered in a manner that provides students with a complete intuitive understanding of deep learning’s underlying foundations.

Paired with hands-on code demos in Jupyter notebooks as well as strategic advice for overcoming common pitfalls, this foundational knowledge will empower individuals with no previous understanding of artificial neural networks to build production-ready deep learning applications across all of the contemporary families


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Live training student experience

Time Series Forecasting with Python

All clear and well explained by our very knowledgable instructor, Marta. This was all extremely applicable to my job. Wish this was a full day instead as Marta had a lot of amazing content. Thanks to the instructor and organizers.

Micheleen Harris
Micheleen Harris
Senior Data Scientist

Hands-On Intro to Unsupervised Learning

I had a bit of previous experience with some of the techniques and was looking for more in-depth. Got all I wanted. Ankur has a great presentation style and excellent examples. I particularly appreciated Ankur’s answers to my numerous questions. Those answers alone were worth the price because they provided insight into real-world applications of these models. I also liked the use of live demo in the TensorFlow projector to visualize the results of every algorithm. Will adopt it right away.

Michael Livshutz
Michael Livshutz
Technical Business Analyst

NLP Fundamentals in Python

Matt took us through difficult terrain with ease, making sure everybody was on the same page throughout. Really great teaching! Incredibly useful!

Huw Hallam
Huw Hallam
Senior Data and Insight Analyst

Advanced Fraud Modeling

Aric is a great teacher and the entire class was structured very well. I learned a lot of new interesting techniques. A mix of lecture and live coding with real-time incorporation of student feedback and questions into the class. Best for intermediate to advanced data folks because it assumes you know some Python. I would highly recommend if you have an interest to learn fraud.

 Shery Cheong
Shery Cheong
Data Scientist

Practical Advanced Pandas

I like the hands-on approach to teaching the additional techniques of Pandas, and I greatly appreciate the availability of the course’s code for me to review later.

Tyrel Cherry
Tyrel Cherry
System Engineer

ODSC PODCAST

Unlock the future of AI. The ODSC “AI X” podcast brings you face-to-face with leading experts shaping the world of artificial intelligence and data science. Dive into cutting-edge topics from generative AI to AI infrastructure and beyond, and get the insights you need to stay ahead in your field.

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