🤖 AI & Agentic AIIntermediate LevelEvidence-Based Skill Profile
Hands-on Mastery in Agentic AI
Don't just use AI. Build AI agents that can reason, use tools, and complete real-world tasks. Master reasoning loops, ReAct mechanics, function calling, sandboxed execution, memory systems, hierarchical planning, agentic RAG, multi-agent collaboration, guardrails, and production observability with your dedicated in-course Agentic AI Mastery Agent coach.
12 Modules • 6 Production Projects
12 Modules
AI FearFilter Faculty
What You Will Learn
Master agentic AI foundations, cognitive architectures, and the transition from passive LLM generation to goal-directed autonomous agency.
Implement robust ReAct reasoning-acting-observing loops with explicit thought trajectories and self-correcting error recovery.
Design type-safe JSON schema tool calling with parameter validation, sandboxed code execution, and dynamic tool routing.
Architect stateful agent memory architectures across short-term scratchpads, multi-turn dialogue buffers, and long-term vector/episodic stores.
Construct autonomous hierarchical planning engines with task decomposition, dynamic dependency trees, and plan adjustment.
Engineer Agentic RAG pipelines featuring dynamic query reformulation, routing, dense/sparse retrieval, and automated hallucination scoring.
Orchestrate multi-agent hierarchies using supervisor-worker and swarm collaboration patterns with state machine workflow engines.
Implement defense-in-depth safety guardrails against prompt injections, unauthorized tool invocations, and unsafe mutations.
Incorporate human-in-the-loop validation checkpoints and rollback mechanisms for high-stakes actions.
Instrument production observability, distributed OpenTelemetry tracing, and automated regression evaluation rubrics.
Build 6 real-world production agent projects and prove verified competency in the Module 12 Capstone Challenge.
Curriculum & Weekly Roadmap
12 Structured ModulesModule 1 — Introduction to Agentic AI & Autonomous Systems
- From Generative Models to Autonomous Agents: Evolution and Paradigms
- Core Agent Architecture: Perception, Reasoning, Memory, and Action Space
- Deterministic vs Non-Deterministic Agency: Autonomy Spectrum & Boundaries
Module 2 — Reasoning Loops & Agent Thinking Patterns
- ReAct Framework: Interleaving Reasoning Traces and Action Execution
- Plan-and-Solve Strategies & Self-Correction Loops
- Loop Termination, Infinite Loop Circuit Breakers & Timeout Handling
Module 3 — Tool Use, Function Calling & API Integration
- Function Calling Standards & JSON Schema Tool Definitions
- Dynamic Tool Selection & Schema Validation
- Error Handling and Retries on Tool Invocation Failures
Module 4 — Sandboxed Execution & Tool Security
- Sandboxed Code Execution Environments & Containerized Isolation
- Permission Models, Execution Allowlists & Read vs Write Separation
- Preventing Tool Abuse, Rate Limiting & Malicious Code Execution
Module 5 — Agentic Memory Systems & Context Windows
- Short-term Memory, Working Buffers & Scratchpads
- Episodic and Long-term Vector Memory with Semantic Search
- Memory Summarization, Compaction & Context Budgeting Strategies
Module 6 — Autonomous Planning & Task Decomposition
- Task Decomposition: Breaking High-Level Objectives into Ordered Subtasks
- Hierarchical Planning & Dynamic Replanning on Unexpected Observations
- Dependency Resolution & Concurrent Subtask Execution
Module 7 — Agentic RAG & Dynamic Information Retrieval
- Traditional RAG vs Agentic RAG: Dynamic Query Reformulation and Routing
- Multi-Source Retrieval, Cross-Document Verification & Conflict Resolution
- Grounded Factuality Checks & Hallucination Elimination Guardrails
Module 8 — Multi-Agent Systems & Team Orchestration
- Supervisor-Worker and Hierarchical Multi-Agent Architectures
- Inter-Agent Communication Protocols & Shared Blackboard State
- LangGraph State-Machine Workflows, Cyclical Routing & Edge Conditions
Module 9 — Agent Evaluation, Observability & Tracing
- Tracing Agent Trajectories with OpenTelemetry & Dedicated Tracing Frameworks
- Evaluation Metrics: Task Completion Rate, Step Efficiency, and Tool Accuracy
- Automated Synthetic Evals & Regression Benchmarking for Agents
Module 10 — Security Guardrails & Safe Autonomous Action
- Prompt Injection Defense, Jailbreak Mitigation & Input Sanitization
- Deterministic Safety Guardrails, Content Moderation & Policy Engines
- Human-in-the-Loop (HITL) Checkpoints & Safe Action Escalation Pathways
Module 11 — Production Agent Engineering & Deployment
- Asynchronous Scalable Agent Runtimes & Background Execution Workers
- State Persistence, Resumption After Crashes & Checkpointing
- Real-World Production Projects Deep-Dive & Architecture Best Practices
Module 12 — Autonomous Production Agent Capstone Challenge
- End-to-End Autonomous Agent Architecture Blueprint & Requirements
- Implementation: Multi-Step ReAct Engine with Guardrails & Sandboxed Tools
- Challenge Submission, Validation Tests & Agentic AI Mastery Agent Evaluation
Who This Course Is For
AI Engineers, Full-Stack Developers, Software Architects, and Technical Builders aiming to engineer autonomous, tool-using, multi-agent production systems.
Key Skills Developed:
Agent Architectures & Reasoning LoopsReAct & Multi-Step Execution MechanicsFunction Calling & Tool UseSandboxed Code Execution & Tool SafetyMemory Systems & Context ManagementAutonomous Planning & Task DecompositionAgentic RAG & Knowledge RetrievalMulti-Agent Collaboration & OrchestrationDeterministic Guardrails & Safety ControlsHuman-in-the-Loop & Safe Action EscalationProduction Observability & TracingAutonomous Production Capstone Challenge
Course Faculty & Development
AI FearFilter Faculty
Agentic Systems & AI Architecture Team
AI FearFilter Academy
Engineering CurriculumAI FearFilter Academy
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100% Self-Paced + Active Hands-on Learning
Evidence-Based Demonstrated Skill Profile
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