FarawaACADEMY
Sign In
HomeDesignationsApplied AI & Intelligent Work Systems
AI & SystemsFarawa Professional Designation Level IVScholarship Eligible

Applied AI & Intelligent Work Systems

Prompt Engineering, LLMs, RAG Pipelines, Autonomous Multi-Agent Workflows & Workplace Automation

Harness frontier artificial intelligence to multiply human productivity and enterprise capability. Build intelligent workplace agents using LangGraph and function calling, deploy retrieval-augmented generation (RAG) knowledge systems for enterprise data, automate complex business workflows, and implement AI governance standards.

Duration
6 months
Proficiency
Intermediate
Start Date
November 2026
Credit Units
60 Units
Applied AI & Intelligent Work SystemsAccredited Track
Credential:Farawa Applied AI & Intelligent Work Practitioner (FAIP)
Tuition Assessment:₦400,000 (Farawa Fellowship Eligible)
Study Mode:Hybrid (Studio + Digital)
Accreditation:Farawa Academy Standard for Intelligent Work (FAS-IW)
Apply For This CohortConsult Advisory Model
Terrain-Optimized Learning

Syllabus & Practical Application Modules

Built for practical execution across African operating realities. Study online or export complete lesson guides for offline learning.

Curriculum Lessons & Strategic Walkthroughs (2)
Lesson 1 • 90 minsPractical Guide

Linear Algebra, Matrix Decompositions & PyTorch Tensor Acceleration on Edge GPUs

Running massive neural networks in African research labs requires squeezing maximum performance out of mid-tier hardware (e.g. RTX 3060/4060 or Jetson Orin Nano).

Lesson 2 • 100 minsPractical Guide

Training Vision Transformers for African Crop Disease & Pest Detection

Cassava mosaic disease and maize fall armyworm devastate smallholder farms across Sub-Saharan Africa. Mobile computer vision models must detect pathogens from low-resolution smartphone cameras under harsh tropical sunlight.

Key Topics & Analytical Concepts

Tokenization, Context Windows, and Temperature Dynamics
Advanced Prompt Architectures: Few-Shot, Chain-of-Thought & Self-Consistency
Structured Data Extraction: Pydantic Schemas, JSON Mode & Tool Calling
System Prompt Engineering for Enterprise Governance and Brand Alignment
Hands-On Milestone: Structured Intelligence Extraction & Prompt Evaluation SuiteBeginner

Build an automated prompt test harness verifying that an LLM outputs 100% compliant JSON data across 50 edge-case documents.

Toolchain & Operating Stack:
PythonOpenAI / Claude APIPydanticPytest

Recommended Module Literature

Prompt Engineering Guide
Source: DAIR.AI • Comprehensive open-access reference on prompting techniques.
Official Docs

Graduation Competencies

✓
Deploy production RAG pipelines with hybrid vector search and sub-second response times
✓
Architect multi-agent swarms using LangGraph to automate complex multi-step workflows
✓
Implement robust security guardrails and hallucination evaluation frameworks
✓
Integrate AI capabilities into enterprise web applications and operational databases

Technologies Mastered

Prompt EngineeringRAG (Retrieval-Augmented Generation)LangGraph & Multi-Agent WorkflowsVector Databases (Pinecone / Supabase pgvector)Python & FastAPILLM Fine-Tuning & EvaluationWorkflow AutomationAI Governance

Prerequisites

  • •Basic programming familiarity (Python preferred) or strong logical problem-solving skills

Target Industry Roles

Applied AI EngineerAI Operations SpecialistAutomation ArchitectChief AI Officer (Associate)
Farawa Academy | The School of Intelligent Work