Course Includes:
- Price: FREE
- Enrolled: 0 students
- Language: English
- Certificate: Yes
- Difficulty: Beginner
Coupon verified 07:42 AM (updated every 10 min)
Course Folder
What You'll Learn
- Explain how AI is reshaping the SDLC
- from requirements and architecture to coding
- testing
- deployment
- and review.,Apply context engineering to give coding agents clear instructions
- constraints
- examples
- tools
- memory
- and guardrails.,Turn business ideas into AI-ready specifications
- user stories
- acceptance criteria
- edge cases
- API contracts
- and plans.,Design architecture-first workflows that preserve module boundaries
- code quality
- security
- maintainability
- and human control.,Build a coding-agent harness using instructions
- tools
- permissions
- sandboxes
- hooks
- orchestration
- and feedback loops.,Evaluate AI-generated software with automated reviews
- unit tests
- integration tests
- LLM evaluations
- and CI/CD quality gates.,Use human-in-the-loop review to delegate agent-sized tasks
- inspect outputs
- manage failures
- and approve production changes.,Assess AI development costs and ROI using token consumption
- retry loops
- model routing
- maintenance debt
- and observability.,Create an agentic SDLC playbook for adopting AI coding workflows safely across individuals
- teams
- and organizations.
Requirements
- No previous experience with AI coding agents or agentic engineering is required.,A basic understanding of software development concepts will be helpful
- but beginners can follow the course.,No advanced programming
- machine learning
- or data science knowledge is required.,A computer with internet access and an interest in modern AI-powered software development workflows.,Familiarity with coding
- testing
- Git
- or CI/CD is helpful but not mandatory.
Description
Software development is changing from manually writing every line of code to designing intelligent systems that can plan, generate, test, evaluate, and improve software.
In AI-Powered SDLC: Vibe Coding to Agentic Engineering, you will learn how to integrate AI coding assistants and autonomous coding agents across the complete software development lifecycle.
You will begin by understanding how software development is shifting from syntax-driven implementation to intent-driven engineering. You will then learn how context engineering, specifications, architectural constraints, agent harnesses, tools, tests, evaluations, guardrails, and human review work together to produce reliable software.
The course goes beyond basic prompt engineering and autocomplete. You will learn how to create structured workflows in which AI agents operate as implementation workers while developers remain responsible for architecture, quality, security, cost, and production readiness.
Throughout the course, you will explore practical topics including AI-friendly requirements, user stories, acceptance criteria, context files, coding-agent instructions, MCP tools, agent orchestration, sandboxing, automated testing, LLM evaluations, observability, CI/CD quality gates, token-cost management, and human-in-the-loop approvals.
Each major section includes a focused hands-on project lab. You will create an AI-SDLC workflow map, a feature specification pack, an agentic feature factory, a coding-agent harness, an AI code evaluation pipeline, a production-readiness review, an AI development cost calculator, and a complete agentic SDLC playbook.
By the end of the course, you will understand how to move beyond experimental vibe coding and build disciplined, scalable, and production-ready AI software engineering workflows.
This course is designed for software developers, technical leads, architects, engineering managers, DevOps professionals, AI engineers, and anyone interested in the future of software development.
Who this course is for:
- Software developers who want to move from traditional coding workflows to AI-powered and agentic software development.,Technical leads and software architects designing reliable workflows for coding agents
- automation
- and human review.,Engineering managers exploring how AI changes software delivery
- team responsibilities
- development costs
- and governance.,Developers using tools such as GitHub Copilot
- Claude Code
- Gemini CLI
- Cursor
- or other AI coding assistants.,Product managers
- business analysts
- and technical professionals who want to create clearer AI-ready requirements and specifications.,DevOps
- platform
- QA
- and security professionals responsible for testing
- guardrails
- CI/CD controls
- and production readiness.,Students and technology professionals preparing for the shift from vibe coding to structured agentic engineering.,Teams seeking a practical framework for adopting coding agents safely without sacrificing architecture
- quality
- security
- or control.
Recommended Courses
Business Analytics with AI: ChatGPT, Claude, Gemini, Copilot
FREE
Learn practical AI techniques for business analysis, KPI tracking, reporting, forecasting, and decision-making
Enrolled
AI Agents for Business: Build AI Employees
FREE
Build AI Agents for HR, Sales, Marketing, Customer Support, and Operations using today's leading AI tools
Enrolled
Kimi K3 for Absolute Beginners
FREE
Learn Kimi K3 from scratch, even if you’re non‑technical, and start using AI to get real work done in minutes.
Enrolled
Statistics & Probability for Business Analytics
FREE
Learn descriptive statistics, inferential statistics, probability, correlation analysis, and computational statistics
EnrolledPrevious Courses
Claude CCA-F 2026: Labs, Scenarios & Exam Masterclass
FREE
Prepare with hands-on labs, real-world architecture scenarios, practice tests, and full-length mock exams.
Enrolled
AI for Pharmacists: Practical AI Skills for Pharmacy Experts
FREE
Learn practical AI skills for pharmacy workflows, medication counseling, research, and healthcare innovation
Enrolled
SnowPro Advanced: Data Scientist — 1500 Exam Questions
FREE
Covers Data Science, Machine Learning, Snowpark ML, Cortex AI, LLMs, Feature Engineering and Model Evaluation
Enrolled
AWS CloudOps Engineer Associate SOA-C03 Practice Tests
FREE
Pass AWS CloudOps Engineer Associate SOA-C03 with 450+ realistic practice questions and exam simulations.
Enrolled
AWS Advanced Networking Specialty ANS-C01 Practice Exam
FREE
Pass AWS ANS-C01 with 500+ practice questions, detailed explanations, and real exam-style tests.
Enrolled
DP-420 Azure Cosmos DB Exam Prep: 500+ Practice Qs
FREE
Pass DP-420 Azure Cosmos DB Developer Specialty with 500+ realistic practice questions and explanations.
Enrolled
Databricks Data Engineer Associate Practice Tests 2026
FREE
Pass the Databricks Data Engineer Associate exam with 450+ realistic practice questions and explanations.
Enrolled
Databricks Data Engineer Professional Practice Tests 2026
FREE
Pass the Databricks Certified Data Engineer Professional exam with realistic practice tests and explanations.
Enrolled
SnowPro Core COF-C03 Practice Tests | 700+ Questions
FREE
Pass SnowPro Core COF-C03 exam with 700+ realistic practice questions, explanations, and exam-style tests.
Enrolled