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Posts
Courses
Agentic QA Masterclass: From Basic To Pro
Agentic Engineering Masterclass: From Basic To Pro
Model Context Protocol (MCP) for AI Agents
Agentic Product Management Masterclass: From Basic To Pro
AI Agent Token Optimization: Maximum Efficiency, Minimum Cost
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Masterclass
Agentic Engineering Masterclass: From Basic To Pro
An introduction to Agentic Software Engineering
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Course Curriculum
11 Modules
1
Foundations of Agentic Engineering
5 topics
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1.1
What Are AI Agents
1.2
The Agent Capability Spectrum
1.3
How Agentic Workflows Change The Engineering Process
1.4
The Developers AI Toolkit
1.5
Setting Up A Production Grade AI Assisted Development Environment
2
Context Engineering for Developers
6 topics
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2.1
How Llms Process Context
2.2
Prompt Architecture
2.3
Providing Codebase Context
2.4
Dynamic Context Assembly
2.5
Context Compression And Summarization
2.6
Hands On Building A Project Context File
3
Spec-Driven Development
5 topics
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3.1
Why Specs Matter In Agentic Workflows
3.2
Writing Technical Specs For AI Consumption
3.3
Defining Acceptance Criteria And Constraints
3.4
Translating Business Requirements Into Engineering Specs
3.5
Hands On Writing A Production Quality Technical Spec
4
The Agentic Development Workflow
7 topics
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4.1
The Full Agentic Loop
4.2
AI Assisted Implementation Planning
4.3
Delegating Implementation To AI Agents
4.4
Staged Implementation
4.5
AI Assisted Code Review
4.6
Git And PR Workflows With AI
4.7
Hands On Full Feature Delivery
5
Advanced AI-Assisted Coding
5 topics
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5.1
Multi File And Cross Module Code Generation
5.2
Working With Legacy Codebases
5.3
Applying Design Patterns And Architectural Constraints
5.4
Performance Analysis And Optimization
5.5
Hands On Large Scale Refactor
6
Evaluating and Owning AI-Generated Code
6 topics
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6.1
AI Hallucinations In Code
6.2
Code Ownership Mindset
6.3
Systematic Review Techniques
6.4
Verifying Correctness
6.5
Knowing When To Iterate Vs Reject
6.6
Hands On Audit And Remediate
7
Debugging and Root Cause Analysis
5 topics
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7.1
Systematic Debugging With AI
7.2
AI Assisted Root Cause Analysis
7.3
Log Analysis Distributed Tracing And Observability
7.4
Recognizing And Fixing Failure Patterns
7.5
Hands On Diagnosing A Production Incident
8
System Design with AI
5 topics
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8.1
AI As A Design Thinking Partner
8.2
Generating And Stress Testing System Designs
8.3
Domain Modeling And Data Modeling
8.4
Architecture Documentation
8.5
Hands On System Design Session
9
Testing Strategy with AI
5 topics
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9.1
AI Driven Test Strategy
9.2
Generating Unit Integration And Contract Tests
9.3
Test Driven Development With AI
9.4
Property Based Testing And Mutation Testing
9.5
Hands On Complete Test Suite
10
Security and Responsible AI Use
5 topics
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10.1
What Not To Put In Context
10.2
Prompt Injection Risks
10.3
Reviewing AI Generated Code For Security
10.4
Data Privacy And Compliance
10.5
Team Policies And Responsible AI Adoption
11
AI Across the Engineering Lifecycle
0 topics
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No topics available yet.