
Program
IT Research Guidance
Evaluate technology and guide real decisions
Learn how to research, evaluate, and recommend technology — and guide others through IT career and tooling decisions.
8
Weeks
40
Chapters
4
Practice formats
1
Portfolio artifact
8 weeks — one module per week (8 modules, 40 chapters), each week ending with a live class every Saturday, plus a module exam before the next module opens.
Curriculum
40 chapters across 8 modules — each with guided notes, a live example, a quiz, an exercise, a challenge, and class practice.
Module 1 · RESEARCH FOUNDATIONS
- 1Introduction to IT Research & GuidanceWhat IT research and advisory roles do, the questions they answer, the research process, typical deliverables, and triaging requests.Learn →
- 2Framing the Decision & RequirementsUnderstanding the real problem, identifying stakeholders and the decision-maker, gathering requirements, MoSCoW, constraints, and writing a research brief.Learn →
- 3Research Methods & Evaluating SourcesPrimary and secondary research, where to find credible information, judging source quality, avoiding bias, and keeping a research log.Learn →
- 4Separating Trends from HypeThe hype cycle, technology adoption, evidence signals versus noise, assessing maturity, and deciding when to adopt, trial, or watch.Learn →
- 5Stakeholder & Needs AnalysisIdentifying everyone affected by a technology decision, mapping influence and interest, eliciting real needs through interviews and workshops, and separating needs from wants.Learn →
Module 2 · EVALUATE TECHNOLOGY OPTIONS
- 6Defining Evaluation Criteria & WeightsTurning requirements into criteria, functional and non-functional categories, knock-out criteria, assigning weights, and getting stakeholder agreement.Learn →
- 7Comparing Options with a Weighted Scoring MatrixBuilding a decision matrix, scoring with evidence, calculating weighted totals, sensitivity analysis, and knowing the limits of scores.Learn →
- 8Total Cost of OwnershipBeyond the price tag: one-time and recurring costs, hidden costs, SaaS vs on-premises, multi-year TCO, and cost per user.Learn →
- 9Proofs of Concept & PilotsWhen to run a PoC, defining success criteria before testing, test scenarios with real data and users, measuring results, and go/no-go decisions.Learn →
- 10Security, Risk & Vendor Due DiligenceSecurity questionnaires and certifications, data protection and residency, SLAs and uptime, vendor viability, contracts, and exit planning.Learn →
Module 3 · RECOMMEND & GUIDE
- 11Writing Technology RecommendationsBottom line up front, structuring the memo, presenting options and trade-offs, evidence and risks, and writing for busy decision-makers.Learn →
- 12Presenting & Handling Stakeholder PushbackPresenting recommendations, anticipating objections, responding with evidence, negotiating, and supporting adoption and change.Learn →
- 13Guiding IT Career & Learning DecisionsMapping IT roles and skills, assessing skill gaps, choosing tools and certifications to learn, building learning plans, and advising individuals.Learn →
- 14Executive Briefings & Visual CommunicationWriting one-page decision memos, the pyramid principle, choosing visuals for comparisons and trade-offs, and briefing busy executives in five minutes.Learn →
- 15Guiding Change & AdoptionWhy technology projects fail at adoption, change models (ADKAR), communication and training plans, champions, measuring adoption, and handling resistance.Learn →
Module 4 · DATA-DRIVEN RESEARCH METHODS
- 16Surveys & QuestionnairesWhen to survey, writing clear unbiased questions, scales and response options, sampling and response rates, and analysing results without over-claiming.Learn →
- 17Benchmarking & Performance TestingDesigning fair comparisons, realistic workloads, measuring response time and throughput, percentiles, repeatability, and reporting benchmark results honestly.Learn →
- 18Using Analyst Reports, Reviews & EvidenceIndustry analyst research, peer review sites, case studies and vendor materials; judging credibility, conflicts of interest and recency; and triangulating evidence.Learn →
- 19Quantitative Analysis for DecisionsDescriptive statistics, variation, sensitivity analysis, break-even and scenarios — the numbers behind confident (and honest) recommendations.Learn →
- 20Research Ethics & BiasCognitive biases that distort technology research, conflicts of interest, privacy and consent in research, independence, and checklists that keep advice objective.Learn →
Module 5 · TECHNOLOGY LANDSCAPES
- 21Guiding Cloud Platform DecisionsComparing major cloud providers, IaaS/PaaS/SaaS choices, workload placement, cost models, lock-in and exit, and building a balanced cloud recommendation.Learn →
- 22Evaluating AI & Automation ToolsSeparating AI capability from marketing, defining use cases and evaluation sets, data privacy and security, cost models, and pilot design for AI tools.Learn →
- 23Advising on Cybersecurity ToolsMapping needs to frameworks (NIST CSF), tool categories (EDR, SIEM, IAM, email security), avoiding tool sprawl, measuring coverage, and prioritising security investments.Learn →
- 24Data & Analytics Platform GuidanceWarehouses, lakehouses and BI tools; matching platforms to data maturity; governance and data quality; skills; and cost drivers for analytics platforms.Learn →
- 25SaaS Portfolio & Application RationalisationDiscovering shadow IT, building an application inventory, measuring usage and overlap, licence optimisation, and recommending consolidation.Learn →
Module 6 · STRATEGY, ARCHITECTURE & SOURCING
- 26Aligning Technology with Business StrategyTranslating business goals into technology priorities, capability maps, portfolio balance (run, grow, transform), and linking every recommendation to a strategic objective.Learn →
- 27Enterprise Architecture for AdvisorsBusiness, data, application and technology architecture layers; current and target state; integration patterns; architecture principles; and reading architecture diagrams.Learn →
- 28Building Technology RoadmapsTurning recommendations into a time-phased roadmap, sequencing by dependencies and value, now/next/later views, capacity limits, and keeping roadmaps current.Learn →
- 29Build vs. Buy vs. ConfigureDeciding between custom development, off-the-shelf products and low-code configuration: differentiation, total cost, time to value, skills, and long-term ownership.Learn →
- 30Vendor Negotiation & Contract GuidancePreparing to negotiate, pricing levers, key SaaS contract terms (SLAs, renewals, data, exit), red flags, and working with procurement and legal.Learn →
Module 7 · GOVERNANCE, RISK & COMPLIANCE
- 31IT Governance FrameworksWhat IT governance is, decision rights, COBIT and ITIL at a glance, architecture and investment boards, policies and standards, and how advisors support governance.Learn →
- 32Technology Risk AssessmentIdentifying technology risks, likelihood × impact scoring, risk registers, treatment options (avoid, reduce, transfer, accept), residual risk, and risk appetite.Learn →
- 33Compliance & Regulation in Technology ChoicesData protection (GDPR principles), sector regulations, accessibility, AI regulation, records retention, and building compliance checks into technology evaluations.Learn →
- 34Service Management & Operational ReadinessMaking sure recommended technology can be supported: ITSM processes, service levels, support models, operational readiness checklists, and handover from project to operations.Learn →
- 35Sustainable & Responsible ITEnergy and carbon impact of technology, device lifecycle and e-waste, cloud sustainability data, accessibility and inclusion, and adding sustainability criteria to evaluations.Learn →
Module 8 · ADVISORY CAREER & CAPSTONE
- 36Consulting & Advisory SkillsThe trusted-advisor mindset, scoping engagements, active listening and questioning, facilitation, managing expectations, and delivering value quickly.Learn →
- 37Building a Research Practice & Knowledge BaseRepeatable research templates, a technology radar, a reusable evidence library, tracking request intake and outcomes, and measuring the value of research.Learn →
- 38Portfolio & Job Search for IT Research RolesJob titles in IT research and advisory (IT analyst, technology consultant, solutions advisor), building a portfolio of anonymised briefs, CV wording, LinkedIn, and finding opportunities.Learn →
- 39Interview Preparation for IT Research & Advisory RolesCommon interview questions, STAR stories, case exercises (evaluate options in 30 minutes), presenting a recommendation, and questions to ask employers.Learn →
- 40Capstone: A Technology Recommendation BriefResearch a real technology decision end to end and deliver a written recommendation brief backed by structured evaluation criteria.Learn →
Delivery
Blended — self-paced lessons plus live research reviews
Portfolio outcome
A written technology recommendation brief, backed by structured evaluation criteria, for a sample decision.
Certificate
Certificate of completion, verifiable online with its credential code.
By the end of this program, you'll be job-ready to…
- Define evaluation criteria before comparing technology options
- Separate real trends from hype when researching tools
- Write a recommendation that survives stakeholder pushback
Salary expectations
Estimated U.S. national average annual salary by experience level.
$65,000
Entry-level
$90,000
Mid-level
$120,000
Senior-level
Estimated figures for planning purposes — actual pay varies by location, employer, and experience.
Tools you'll master
Practical training, every chapter
- A live "try it yourself" example in every chapter you can run immediately
- A hands-on exercise per chapter, with hints and a reveal-able answer
- An open-ended challenge per chapter, graded against real success criteria
- Class practice prompts for pairs or cohorts, not just solo homework
Why take this program
Interview- and job-ready
Built to the same bar Aicloud actually hires against — not a generic syllabus.
Tier 1 company partners
Program partnerships with leading employers are in progress — see Affiliation for status.
Job connection access
Graduates get access to Aicloud's own hiring pipeline and employer referral network.
Professional networking
Cohort discussion boards and live sessions connect you with peers and mentors, not just content.
A real portfolio
You leave with a concrete, explainable artifact — proof of knowledge, not just a certificate.