EvalCommunity Academy
AI Workflow Automation Bundle
Master advanced AI automation for monitoring, evaluation, and international development. Build no-code AI agents, create custom GPTs, and deploy small language models to automate complex workflows while maintaining security, data control, and professional oversight.
What is included in the bundle
Three advanced, self-paced certificate courses for automation specialists, power users, consultants, and M&E professionals who want to build sophisticated AI workflows with greater control, security, and customisation.
Course 1
AI Agents for Evaluators Certificate
Individual price: USD 245
Design, build, test, and validate no-code AI agents for evaluation workflows. Covers evaluation design, reporting, qualitative coding, data-quality review, and human oversight checkpoints.
Course 2
Custom GPTs for Evaluators
Individual price: USD 149
Create tailored GPT models for specific evaluation tasks. Configure, test, and deploy custom AI assistants aligned with your evaluation frameworks and reporting standards.
Course 3
Small Language Models (SLMs) for M&E and International Development
Individual price: USD 149
Deploy small language models for secure, offline, and resource-constrained environments. Learn to select, fine-tune, and run SLMs locally for sensitive data and field operations.
Bundle pricing
Bundle Price
USD 379
Separately
USD 543
You Save
USD 164
All three courses are self-paced. Access through My Courses after enrollment.
How the three courses complement each other
Each course addresses a different level of automation complexity. AI agents handle structured multi-step workflows. Custom GPTs provide tailored assistance for specific tasks. Small language models enable secure, offline deployment. Together, they give you a complete toolkit for automating M&E processes in any environment.
Automated workflows
Design no-code AI agents that execute repeatable M&E tasks with defined inputs, outputs, quality checkpoints, and human oversight.
Custom AI assistants
Build and deploy tailored GPT models configured for your evaluation frameworks, reporting standards, and organisational context.
Secure local deployment
Run small language models locally for sensitive data, offline field operations, and contexts where cloud-based AI is not suitable.
Professional capacity you will build
Completing all three courses positions you as an automation specialist capable of designing, deploying, and managing AI systems across diverse technical environments and security requirements.
Agent workflow design
Identify repeatable tasks, define workflow stages, and build no-code AI agents for evaluation processes.
Quality assurance systems
Establish review checkpoints, test AI outputs against evidence, and maintain human control over decisions.
Custom GPT configuration
Design and deploy tailored GPT models for evaluation design, reporting, qualitative coding, and indicator tracking.
Responsible automation
Address bias, transparency, data protection, and accountability within automated M&E workflows.
SLM selection and deployment
Evaluate, select, and run small language models for offline use, sensitive data, and resource-constrained settings.
Local AI infrastructure
Set up local AI environments that keep data within organisational boundaries and comply with data protection requirements.
Field-ready AI solutions
Deploy AI tools in low-connectivity and humanitarian contexts where cloud services are unavailable or inappropriate.
Multi-environment architecture
Design automation strategies combining cloud, local, and hybrid AI approaches based on task sensitivity and operational needs.
Intended participants
- Automation specialists and workflow designers
- Power users and advanced practitioners
- Consultants managing multiple client environments
- M&E technology and data specialists
- Field coordinators handling sensitive data
- IT and innovation leads in development organisations
Main learning areas
- No-code AI agent design and validation
- Custom GPT configuration and deployment
- Small language model selection and fine-tuning
- Local and offline AI infrastructure setup
- Data security and sensitive information handling
- Multi-environment automation architecture
From single-user AI to enterprise automation
This bundle is designed for professionals who need to move beyond individual AI use and build automated systems that work across teams, projects, and technical environments. Learn to design workflows that are scalable, secure, and appropriate for diverse M&E contexts.
Apply your learning to automate reporting pipelines, deploy secure AI tools in the field, and architect solutions that balance cloud convenience with local data control and professional accountability.
Enrollment
How to purchase the AI Workflow Automation Bundle
1. Add the bundle to cart
Open the bundle product page and select Add to cart.
2. Review the cart
Select View cart and confirm the bundle, quantity, and order total are correct.
3. Checkout and place order
Select Proceed to checkout, complete billing and payment, accept terms, and select Place order.
Alternative payment methods
If you cannot complete the standard checkout, pay directly through Stripe or PayPal.
Course access: After payment, allow up to 24 hours for confirmation and course activation on your Academy account.
Enrollment and access FAQs
When will courses become available after payment?
Which email should I use?
Do I need prior AI experience?
Card payment fields not appearing?
Courses not visible after 24 hours?
Ready to automate your M&E workflows?
Select your preferred payment method to enroll in the AI Workflow Automation Bundle at USD 379.
Questions? Contact info@evalcommunity.com
