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AlinLearning AI & Automation Course Team
AI workflows, automation and applied practiceThis course is maintained as a practical learning path with guided workflows, review checkpoints and responsible-use notes.
<span data-i18n data-en="Beginner" data-bn="বিগিনার">Beginner</span>
Prompt Engineering for Work & Business
Build practical, job-relevant capability in Prompt Engineering for Work & Business through guided practice, projects and a capstone.
Career track 01
AI & Automation Learning Path
Build practical AI capability from everyday use to automation, agents and multimodal workflows.
Jobs this leads to
AI-enabled operations, automation support, productivity and content workflows
Why take this course?
1
Starts with Prompt anatomy and clear task definition and progresses toward team prompt playbook
2
Includes 8 focused chapters and 50 guided lessons with practice and review
3
Built around practical Prompt Engineering for Work & Business workflows rather than generic theory or income promises
What you will be able to do
- ✓ Explain and apply the core concepts of Prompt Engineering for Work & Business
- ✓ Use the current tools and workflows used in real projects
- ✓ Complete guided exercises and troubleshoot common problems
- ✓ Produce a portfolio-ready or application-ready capstone
- ✓ Evaluate quality, risk, ethics and professional best practices
Full curriculum
8 chapters · 50 lessons- ▶ Concepts: Prompt anatomy and clear task definition 12m FREE
- ▶ Setup: Prompt anatomy and clear task definition 18m FREE
- 🔒 Guided start: Prompt anatomy and clear task definition 18m
- 🔒 Practice: Prompt anatomy and clear task definition 24m
- 🔒 Common mistakes: Prompt anatomy and clear task definition 18m
- 🔒 Checkpoint: Prompt anatomy and clear task definition 16m
- ▶ Concepts: Context, examples, roles and constraints 14m FREE
- 🔒 Setup: Context, examples, roles and constraints 14m
- 🔒 Guided start: Context, examples, roles and constraints 20m
- 🔒 Practice: Context, examples, roles and constraints 26m
- 🔒 Common mistakes: Context, examples, roles and constraints 14m
- 🔒 Checkpoint: Context, examples, roles and constraints 18m
- 🔒 Principles: Structured outputs, schemas and checklists 12m
- 🔒 Tools: Structured outputs, schemas and checklists 18m
- 🔒 Guided build: Structured outputs, schemas and checklists 24m
- 🔒 Applied exercise: Structured outputs, schemas and checklists 24m
- 🔒 Troubleshoot: Structured outputs, schemas and checklists 18m
- 🔒 Quality review: Structured outputs, schemas and checklists 22m
- 🔒 Checkpoint: Structured outputs, schemas and checklists 16m
- 🔒 Principles: Iterative prompting and critique loops 14m
- 🔒 Tools: Iterative prompting and critique loops 20m
- 🔒 Guided build: Iterative prompting and critique loops 20m
- 🔒 Applied exercise: Iterative prompting and critique loops 26m
- 🔒 Troubleshoot: Iterative prompting and critique loops 20m
- 🔒 Quality review: Iterative prompting and critique loops 18m
- 🔒 Checkpoint: Iterative prompting and critique loops 18m
- 🔒 Project brief: Prompts for analysis, writing and decision support 14m
- 🔒 Plan: Prompts for analysis, writing and decision support 16m
- 🔒 Hands-on build: Prompts for analysis, writing and decision support 30m
- 🔒 Real scenario: Prompts for analysis, writing and decision support 30m
- 🔒 Review: Prompts for analysis, writing and decision support 18m
- 🔒 Checkpoint: Prompts for analysis, writing and decision support 18m
- 🔒 Project brief: Prompt libraries, variables and reusable templates 10m
- 🔒 Plan: Prompt libraries, variables and reusable templates 18m
- 🔒 Hands-on build: Prompt libraries, variables and reusable templates 32m
- 🔒 Real scenario: Prompt libraries, variables and reusable templates 26m
- 🔒 Review: Prompt libraries, variables and reusable templates 20m
- 🔒 Checkpoint: Prompt libraries, variables and reusable templates 20m
- 🔒 Advanced concepts: Evaluation, hallucination control and verification 16m
- 🔒 Workflow: Evaluation, hallucination control and verification 22m
- 🔒 Case study: Evaluation, hallucination control and verification 22m
- 🔒 Advanced practice: Evaluation, hallucination control and verification 28m
- 🔒 Edge cases: Evaluation, hallucination control and verification 22m
- 🔒 Optimise: Evaluation, hallucination control and verification 20m
- 🔒 Checkpoint: Evaluation, hallucination control and verification 18m
- 🔒 Capstone brief: team prompt playbook 14m
- 🔒 Plan: team prompt playbook 16m
- 🔒 Build: team prompt playbook 38m
- 🔒 Professional review: team prompt playbook 24m
- 🔒 Present and reflect: team prompt playbook 16m
Course guidance
Official reference anchors
Curriculum references used for maintenance
These links are reference sources for course maintenance. They do not imply certification, endorsement or guaranteed outcomes. Platform rules and requirements can change.
Common questions
Is this course pre-recorded?
The delivery format is shown inside the course. Available lessons, videos, reading material and activities can be completed at your own pace unless a live session is specifically stated.
How long do I keep access?
Course access remains available according to the access terms shown at purchase.
What if the course is not right for me?
Check the current published Refund Policy before purchase.
Do I get a completion record?
The platform can show course completion and certificate-verification features where enabled.