Curriculum

7 Chapters · 65 Lessons

  1. 1

    Foundations of AI Agents

    1. (Included in full purchase)

      01 - What Are Large Language Models

    2. (Included in full purchase)

      02 - What Are Large Language Models (Notes)

    3. (Included in full purchase)

      03 - Agents Explained Like You’re 5

    4. (Included in full purchase)

      04 - Agents Explained Like You’re 5 (Notes)

    5. (Included in full purchase)

      05 - Evolution of AI Agents

    6. (Included in full purchase)

      06 - Evolution of AI Agents (Notes)

    7. (Included in full purchase)

      07 - Prompting as an Engineering Discipline

    8. (Included in full purchase)

      08 - Prompting as an Engineering Discipline (Notes)

    9. (Included in full purchase)

      09 - Why Vector Databases Still Matter

    10. (Included in full purchase)

      10 - Why Vector Databases Still Matter (Notes)

    11. (Included in full purchase)

      11 - Agentic RAG for Enterprise AI

    12. (Included in full purchase)

      12 - Agentic RAG for Enterprise AI (Notes)

    13. (Included in full purchase)

      13 - Assessment (Notes)

  2. 2

    Core Concepts of Agent Architecture

    1. (Included in full purchase)

      14 - Lyzr Agent Studio Walkthrough

    2. (Included in full purchase)

      15 - Lyzr Agent Studio Walkthrough (Notes)

    3. (Included in full purchase)

      16 - Core Components of an AI Agent LLM_ Tools_ Context

    4. (Included in full purchase)

      17 - Core Components of an AI Agent LLM_ Tools_ Context (Notes)

    5. (Included in full purchase)

      18 - Tool Calling_ Agent-as-a-Tool _ Data Workflows

    6. (Included in full purchase)

      19 - Tool Calling_ Agent-as-a-Tool _ Data Workflows (Notes)

    7. (Included in full purchase)

      20 - Enhancing Agent Performance

    8. (Included in full purchase)

      21 - Enhancing Agent Performance (Notes)

    9. (Included in full purchase)

      22 - Why Finetuning LLMs Is Overrated

    10. (Included in full purchase)

      23 - Why Finetuning LLMs Is Overrated (Notes)

    11. (Included in full purchase)

      24 - Assessment (Notes)

  3. 3

    Agent Orchestration & Workflows

    1. (Included in full purchase)

      25 - Why Agent Orchestration Replaces Traditional Workflows

    2. (Included in full purchase)

      26 - Why Agent Orchestration Replaces Traditional Workflows (Notes)

    3. (Included in full purchase)

      27 - Multi-Agent Systems Explained Like You’re 5

    4. (Included in full purchase)

      28 - Multi-Agent Systems Explained Like You’re 5 (Notes)

    5. (Included in full purchase)

      29 - Orchestration Techniques

    6. (Included in full purchase)

      30 - Orchestration Techniques (Notes)

    7. (Included in full purchase)

      31 - Prompt Chaining vs Agent Orchestration

    8. (Included in full purchase)

      32 - Prompt Chaining vs Agent Orchestration (Notes)

    9. (Included in full purchase)

      33 - Autonomous Agents_ Single vs Multi-Agent Systems

    10. (Included in full purchase)

      34 - Autonomous Agents_ Single vs Multi-Agent Systems (Notes)

    11. (Included in full purchase)

      35 - MCP_ Agent Mesh _ OGI Future of Agent Interoperability

    12. (Included in full purchase)

      36 - MCP_ Agent Mesh _ OGI Future of Agent Interoperability (Notes)

    13. (Included in full purchase)

      37 - MCP vs A2A The Future of Agent Interoperability

    14. (Included in full purchase)

      38 - MCP vs A2A The Future of Agent Interoperability (Notes)

    15. (Included in full purchase)

      39 - Assessment (Notes)

  4. 4

    Responsible AI, Safety & Governance

    1. (Included in full purchase)

      40 - How Lyzr Built Safe-by-Design AI Agents

    2. (Included in full purchase)

      41 - How Lyzr Built Safe-by-Design AI Agents (Notes)

    3. (Included in full purchase)

      42 - Guardrails_ PII Detection _ Toxicity Filtering

    4. (Included in full purchase)

      43 - Guardrails_ PII Detection _ Toxicity Filtering (Notes)

    5. (Included in full purchase)

      44 - Hallucination Management

    6. (Included in full purchase)

      45 - Hallucination Management (Notes)

    7. (Included in full purchase)

      46 - Data Governance _ Entitlement Policies

    8. (Included in full purchase)

      47 - Data Governance _ Entitlement Policies (Notes)

    9. (Included in full purchase)

      48 - Assessment (Notes)

  5. 5

    AgentOps, Observability & Testing

    1. (Included in full purchase)

      49 - AgentOps _ Observability

    2. (Included in full purchase)

      50 - AgentOps _ Observability (Notes)

    3. (Included in full purchase)

      51 - Writing Agent Test Cases

    4. (Included in full purchase)

      52 - Writing Agent Test Cases (Notes)

    5. (Included in full purchase)

      53 - Measuring Agent Success with KPIs

    6. (Included in full purchase)

      54 - Measuring Agent Success with KPIs (Notes)

    7. (Included in full purchase)

      55 - Assessment (Notes)

  6. 6

    Cost, ROI & Performance Economics

    1. (Included in full purchase)

      56 - AI Agent Cost Models

    2. (Included in full purchase)

      57 - AI Agent Cost Models (Notes)

    3. (Included in full purchase)

      58 - Assessment (Notes)

  7. 7

    Real-World Use Cases & Blueprinting

    1. (Included in full purchase)

      59 - Real-World Agent Use Cases

    2. (Included in full purchase)

      60 - Real-World Agent Use Cases (Notes)

    3. (Included in full purchase)

      61 - Behind the Scenes of the Jason SDR Agent

    4. (Included in full purchase)

      62 - Behind the Scenes of the Jason SDR Agent (Notes)

    5. (Included in full purchase)

      63 - Integration with External Tools (Lovable Example)

    6. (Included in full purchase)

      64 - Integration with External Tools (Lovable Example) (Notes)

    7. (Included in full purchase)

      65 - Assessment (Notes)

Lyzr Agent Engineering for Developers

Embark on a journey through Agent engineering — Discover LLM and RAG foundations, agent architecture, orchestration, responsible AI, and AgentOps for real-world success.

Enroll for free