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Phoenix

Explore model behavior, inspect chains, and debug LLM apps using Phoenix's advanced tracing and visualization tools.
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Save 59% Offer ends on 31-Dec-2025
Course Duration: 10 Hours
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As large language models (LLMs) grow in complexity and scale, developers need better tools to understand, inspect, and debug their behavior. Phoenix, by Arize AI, offers a powerful open-source platform that helps trace and visualize LLM chains, monitor performance, and identify issues during development and in production.
What is Phoenix?
Phoenix is a developer-first tool that captures LLM execution data, visualizes the end-to-end flow of prompt chains, and enables detailed inspection of responses, intermediate steps, and scoring. It’s ideal for teams building applications with LangChain, LlamaIndex, and other retrieval-augmented or agent-based frameworks.
How to Use This Course:
This course teaches you how to integrate Phoenix into your development workflow, monitor chain runs, visualize outputs, and evaluate performance over time. You’ll learn how to trace queries, diagnose hallucinations, inspect response latency, and debug failures using Phoenix’s intuitive UI.
Throughout the course, you’ll work on real LLM-based apps (e.g., QA bots, search agents) to observe and optimize model behavior. Whether you’re a prompt engineer, MLOps developer, or AI researcher, Phoenix gives you the visibility needed to make your models reliable and explainable.

Course/Topic 1 - Coming Soon

  • The videos for this course are being recorded freshly and should be available in a few days. Please contact info@uplatz.com to know the exact date of the release of this course.

    • 01:20
Course Objectives Back to Top
  • Understand the role of Phoenix in LLM observability

  • Set up and configure Phoenix with LangChain or LlamaIndex

  • Trace and visualize prompt chains with step-by-step breakdowns

  • Inspect token usage, latency, and context injection

  • Diagnose hallucinations and prompt-related failures

  • Monitor real-time metrics of LLM application runs

  • Use Phoenix scoring tools for prompt evaluation

  • Debug multi-agent or RAG pipelines with Phoenix UI

  • Integrate Phoenix with LangChain callback handlers

  • Apply Phoenix for transparency in production workflows


 

Course Syllabus Back to Top

Course Syllabus

  1. Introduction to Phoenix and LLM Observability

  2. Installing Phoenix and Integrating with LangChain

  3. Key Features: Tracing, Scoring, and Visualization

  4. Running and Visualizing LLM Chains in Phoenix

  5. Inspecting Prompt Steps, Inputs, and Outputs

  6. Token and Latency Analysis for Optimization

  7. Hallucination Detection and Quality Evaluation

  8. Debugging RAG and Agent-based Applications

  9. Building Dashboards and Viewing Session Histories

  10. Case Study: Troubleshooting a QA Retrieval System

  11. Best Practices for Using Phoenix in Dev and Prod

  12. Phoenix + Arize: Full-Stack LLM Monitoring

 

Certification Back to Top

After completing the course, learners will receive a Uplatz Certificate of Completion validating their proficiency in LLM application inspection using Phoenix. This certification confirms that you can visualize and trace LLM chains, diagnose failure points, and optimize model outputs in production environments. Ideal for developers, MLOps professionals, and AI researchers, the certificate demonstrates your capability in using modern LLM debugging tools to improve quality and transparency across AI systems.

Career & Jobs Back to Top

As LLM applications become integral to products across industries, organizations seek professionals who can ensure these systems are understandable, reliable, and safe. Mastering Phoenix equips you with vital skills for managing AI pipelines with clarity.

You’ll be qualified for roles such as:

  • LLM Debugging Engineer

  • Prompt Evaluation Specialist

  • AI Quality Assurance Engineer

  • LangChain or LlamaIndex Developer

  • MLOps Engineer (LLM Focus)

  • AI Application Architect

These roles span across domains where prompt workflows, semantic search, and generative agents are used—from tech startups and research labs to enterprise AI teams. Phoenix knowledge signals that you’re ready to step into production-grade AI development with the right observability toolkit.


 

Interview Questions Back to Top
  1. What is Phoenix used for in LLM development?
    Phoenix is used to trace, inspect, and debug large language model applications by visualizing chain runs and performance.

  2. How does Phoenix integrate with LangChain?
    It connects via callback handlers to capture prompt chains, intermediate steps, and outputs during LLM execution.

  3. Can Phoenix help detect hallucinations?
    Yes, by inspecting generated responses and comparing them with retrieved context or expected outputs.

  4. What types of apps is Phoenix ideal for?
    RAG-based applications, QA systems, chatbots, and multi-agent apps built with frameworks like LangChain or LlamaIndex.

  5. Is Phoenix open-source?
    Yes, Phoenix is an open-source tool developed by Arize AI for LLM observability.

  6. What performance metrics does Phoenix track?
    Token usage, latency, prompt-response sequences, error types, and chain performance scores.

  7. Can Phoenix be used in production environments?
    Yes, it can monitor and debug live applications with support for session history and dashboards.

  8. What’s the difference between Phoenix and TruLens?
    TruLens focuses on feedback functions and evaluation, while Phoenix emphasizes visual tracing and debugging.

  9. How do you connect Phoenix to a LangChain agent?
    By initializing Phoenix callback handlers and wrapping them into the chain or agent execution flow.

  10. Why is visualization important in LLM workflows?
    It helps developers and researchers understand model behavior, diagnose failures, and ensure output quality.


 

Course Quiz Back to Top
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Q1. What are the payment options?
A1. We have multiple payment options: 1) Book your course on our webiste by clicking on Buy this course button on top right of this course page 2) Pay via Invoice using any credit or debit card 3) Pay to our UK or India bank account 4) If your HR or employer is making the payment, then we can send them an invoice to pay.

Q2. Will I get certificate?
A2. Yes, you will receive course completion certificate from Uplatz confirming that you have completed this course with Uplatz. Once you complete your learning please submit this for to request for your certificate https://training.uplatz.com/certificate-request.php

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A3. All our video courses comes with lifetime access. Once you purchase a video course with Uplatz you have lifetime access to the course i.e. forever. You can access your course any time via our website and/or mobile app and learn at your own convenience.

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A5. We do not take exam as part of the our training programs whether it is video course or live online class. These courses are professional courses and are offered to upskill and move on in the career ladder. However if there is an associated exam to the subject you are learning with us then you need to contact the relevant examination authority for booking your exam.

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A16. Software access can be purchased seperately at an additional cost. The cost varies from course to course but is generally in between GBP 20 to GBP 40 per month.

Q17. Does your course guarantee a job?
A17. Our course is designed to provide you with a solid foundation in the subject and equip you with valuable skills. While the course is a significant step toward your career goals, its important to note that the job market can vary, and some positions might require additional certifications or experience. Remember that the job landscape is constantly evolving. We encourage you to continue learning and stay updated on industry trends even after completing the course. Many successful professionals combine formal education with ongoing self-improvement to excel in their careers. We are here to support you in your journey!

Q18. Do you provide placement services?
A18. While our course is designed to provide you with a comprehensive understanding of the subject, we currently do not offer placement services as part of the course package. Our main focus is on delivering high-quality education and equipping you with essential skills in this field. However, we understand that finding job opportunities is a crucial aspect of your career journey. We recommend exploring various avenues to enhance your job search:
a) Career Counseling: Seek guidance from career counselors who can provide personalized advice and help you tailor your job search strategy.
b) Networking: Attend industry events, workshops, and conferences to build connections with professionals in your field. Networking can often lead to job referrals and valuable insights.
c) Online Professional Network: Leverage platforms like LinkedIn, a reputable online professional network, to explore job opportunities that resonate with your skills and interests.
d) Online Job Platforms: Investigate prominent online job platforms in your region and submit applications for suitable positions considering both your prior experience and the newly acquired knowledge. e.g in UK the major job platforms are Reed, Indeed, CV library, Total Jobs, Linkedin.
While we may not offer placement services, we are here to support you in other ways. If you have any questions about the industry, job search strategies, or interview preparation, please dont hesitate to reach out. Remember that taking an active role in your job search process can lead to valuable experiences and opportunities.

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Q21. Can I get help from a tutor if I have doubts while learning from a video course?
A21. Tutor support is not available for our video course. If you believe you require assistance from a tutor, we recommend considering our live class option. Please contact our team for the most up-to-date availability. The pricing for live classes typically begins at USD 999 and may vary.



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