+40% productivity
Employees trained on AI tools save 6-8 hours/week on routine writing, analysis, research tasks. Documented in pilot programs.
AI for business
AI training for Algerian companies
Generative AI (ChatGPT, Claude, Gemini), prompt engineering, AI agents, ML basics. Beeform Academy delivers MFEP-accredited AI training adapted to Algerian B2B use cases.
AI is the #1 corporate training demand in 2026
Algerian companies are racing to adopt AI: customer support chatbots, document analysis, marketing content. But 80% of corporate AI initiatives fail because employees aren't trained to use these tools effectively. Beeform Academy delivers practical AI training: not 'how AI works' theory, but 'how to use AI to do your job better' — with Algerian business cases.
- Generative AI for everyday work — ChatGPT, Claude, Gemini for emails, reports, analysis
- Prompt engineering — get 10× better results from any AI tool
- AI for specific roles — sales, HR, finance, operations, IT
- AI ethics & data protection — Algerian Law 18-07 compliant AI usage
What AI training delivers
Better outputs
Prompt engineering training raises AI output quality from 'mediocre' to 'professional'. The same tool gives 10× better results with proper prompting.
Risk mitigation
Trained employees know what NOT to share with AI tools (confidential data, client info). Reduces data leak risk under Law 18-07.
Competitive edge
Algerian companies adopting AI early gain 6-12 month competitive advantage. Training is the bottleneck — not the technology.
3-day AI for business program
01
Day 1 — AI fundamentals
How LLMs work (intuition, not math). Generative AI vs traditional AI vs ML. Mapping AI tools to business problems. Hands-on with ChatGPT, Claude, Gemini.
02
Day 2 — Prompt engineering
Frameworks (CRAFT, RACE, CO-STAR). Few-shot, chain-of-thought, role prompting. Practice on participants' real use cases. Build personal prompt library.
03
Day 3 — Role-specific applications
Sales: lead qualification, proposal drafts. HR: job descriptions, interview prep. Finance: report analysis. Operations: process documentation. IT: code review.
AI training paths for Algerian enterprises
Six tracks from no-code AI literacy to advanced ML for tech teams.
AI literacy for executives
What AI can / cannot do, risk-reward framing, governance, ROI cases.
Generative AI for business teams
ChatGPT, Copilot, Gemini at work — prompts, guardrails, productivity wins.
Data foundations (SQL + analytics)
Data quality, schema basics, dashboard-ready data, SQL essentials.
Automation with AI (no-code RPA)
Power Automate, n8n, Make — automate intake, reporting, alerts.
Applied ML for developers
Classical ML (scikit-learn) + foundation models (HuggingFace, fine-tuning).
AI risk, ethics & compliance
Bias detection, explainability, Law 25-11 compliance for AI projects.
Detailed training modules
Seven standalone modules covering AI from non-technical literacy to applied use in HR, marketing, finance, and governance — calibrated for Algerian B2B reality and Law 25-11 compliance.
AI fundamentals — the non-technical guide
typically 1 dayAI is not reserved for engineers. This module demystifies AI for every profile: how it works, what it can realistically do, where it fails, and the operational implications for Algerian B2B managers and decision-makers.
- Understand the differences between ML, deep learning, and LLMs
- Identify high-ROI vs low-ROI AI use cases in your organization
- Recognize the limits of AI — hallucination, bias, brittleness
- Frame strategic AI conversations with executives and boards
ChatGPT, Copilot & generative AI at work
typically 2-3 daysGenerative AI is already in your stack via ChatGPT, Microsoft Copilot, and Gemini. This module gives business users the prompt engineering, workflow integration, and safety patterns to get real productivity gains without leaking sensitive data.
- Write structured prompts that produce professional-quality output
- Use AI for document drafting, summarization, and translation
- Integrate generative AI in Microsoft 365 and Google Workspace
- Apply guardrails to avoid sharing confidential or personal data
No-code automation of repetitive tasks
typically 3 days hands-onMap the low-value-added tasks in your organization and automate them with accessible AI tools — without writing code. This module covers Power Automate, n8n, Make, Zapier, and the ROI framework to prioritize what to automate first.
- Map automatable tasks with a structured time-and-frequency audit
- Build no-code workflows on Power Automate, n8n, Make, or Zapier
- Automate email triage, reporting, and cross-system data sync
- Calculate and track ROI of each automation against the baseline
AI for HR teams
typically 2 daysSourcing, onboarding, training paths, performance review: AI is reshaping every HR process. This module trains HR teams to integrate AI without sacrificing the human dimension — and while respecting Algerian Code du Travail and Law 25-11 obligations.
- Use AI for sourcing and CV screening while avoiding discrimination
- Deploy HR chatbots and automated onboarding journeys
- Apply predictive analytics to retention and performance signals
- Personalize learning paths based on skill-gap analysis
AI for marketing teams
typically 2 daysPersonalization, content production, customer data analysis: marketing teams that master AI publish faster, target better, and convert more. This module covers practical AI workflows tested in Algerian B2B and B2C marketing contexts.
- Generate marketing content (copy, visuals, video scripts) with AI
- Segment and personalize customer outreach with AI tooling
- Run sentiment analysis and social listening on Algerian markets
- Apply A/B testing and programmatic advertising with AI assist
AI for finance teams
typically 2 daysFraud detection, cash-flow forecasting, anomaly detection in invoices and expenses: AI brings precision and speed to Algerian finance teams. This module focuses on practical use cases compatible with local accounting and audit standards.
- Build AI-assisted cash-flow forecasts and budget variance analysis
- Detect anomalies in invoices, expenses, and journal entries
- Accelerate financial reporting and consolidation cycles
- Apply AI tooling to support audit, compliance, and reconciliation
AI ethics, governance & Law 25-11 compliance
typically 2 daysAlgorithmic bias, personal data protection, decision transparency: understanding AI ethics is now a board-level responsibility. This module helps DPOs and compliance officers build the internal AI policy required under Law 25-11 and emerging Algerian guidance.
- Identify and mitigate algorithmic bias in HR, credit, and marketing AI
- Map AI usage against Law 25-11 personal data obligations
- Draft and roll out an internal AI usage policy with clear guardrails
- Run vendor due diligence on third-party AI providers
Beeform AI training methodology
Six pillars that drive every AI training engagement — from AI readiness diagnosis to productivity measurement, calibrated for Algerian B2B and Law 25-11 compliance.
AI readiness diagnostic
Every engagement starts with an AI readiness diagnostic: workshop with leadership to map highest-ROI use cases (sales acceleration, document processing, customer support, internal knowledge bases), assessment of current tool usage (shadow IT detection — many employees already use ChatGPT without governance), and identification of Law 25-11 compliance gaps (personal data handling, vendor due diligence). Output: a prioritized AI roadmap with training implications per role.
Role-based cohort design
We segment trainees into role-aligned cohorts: executives (AI literacy, governance, ROI framing), business users (generative AI for daily work in sales, HR, finance, marketing), IT teams (technical integration, prompt engineering at scale, RAG architecture), data teams (applied ML, fine-tuning, evaluation). Each cohort gets a calibrated curriculum — no one-size-fits-all that under-serves technical teams and over-stretches business users.
AI practitioner trainer pairing
Each cohort is paired with trainers who actually ship AI products — not academics presenting slides about ChatGPT. Trainers have deployed RAG systems, prompt-engineered enterprise workflows, fine-tuned models, and navigated AI governance in real organizations. They bring concrete demos (live prompt iteration, agent building, RAG over your test corpus) and frank guidance on what works versus what's vendor hype.
Live AI labs (bring-your-own-task)
Each session includes a live AI lab where participants bring an actual work task (a slow email to draft, a long report to summarize, a recurring decision to support) and apply AI tools live with trainer coaching. By end of program, each participant leaves with 5-10 production-ready prompts saved in a personal library, plus a documented automation they built during the program. Time-to-productivity-gain: under 4 weeks.
Real prompt sprint between sessions
Between sessions, participants commit to applying AI to 3-5 real tasks per week with weekly check-ins. They report back at the next session with what worked (typical productivity gains: 30-50% on writing tasks, 40-60% on research, 20-30% on data analysis), what failed (prompts that hallucinated, sensitive data they almost shared), and what governance questions emerged. Group debrief generates collective intelligence faster than solo experimentation.
Productivity measurement & governance setup
Three months post-training, we run a comparative productivity assessment: time saved per employee per week (typical: 4-8 hours), AI usage rate per team, Law 25-11 incident rate (data exposure incidents). We also help your DPO draft an internal AI usage policy (allowed tools, prohibited data, escalation paths, vendor due diligence) and roll it out as a separate mandatory micro-training. Without governance, AI productivity gains create equal-and-opposite compliance risk.
AI training tracks by depth and audience
Five tracks calibrated for different AI maturity needs — from executive literacy to applied machine learning. Pricing indicative, on quote.
| Track | Target audience | Typical duration | Outcome targeted | Indicative investment / participant |
|---|---|---|---|---|
| AI literacy for executives | C-suite, board, senior leaders | 1 day intensive | Strategic AI framing, governance, ROI conversations, risk identification | 30-50K DZD |
| Generative AI for business teams | HR, sales, marketing, finance, operations | 2-3 days workshop | Daily productivity gains via ChatGPT, Copilot, Gemini with proper prompting and guardrails | 20-35K DZD |
| No-code AI automation | Business analysts, ops, process owners | 3 days hands-on | Build automations with Power Automate, n8n, Make — intake, reporting, alerts | 30-45K DZD |
| Applied ML for developers | Developers, data analysts, data engineers | 5-10 days intensive | Classical ML (scikit-learn) + foundation models (HuggingFace, RAG, basic fine-tuning) | 60-100K DZD |
| AI risk, ethics & Law 25-11 compliance | DPO, compliance officers, IT governance | 2 days intensive | Internal AI policy drafting, vendor due diligence, bias detection, breach response | 30-50K DZD |
Frequently asked questions
Why is AI training urgent for Algerian companies in 2026?
Generative AI (ChatGPT, Copilot, Claude) is already being used by 60%+ of office workers globally, and the Algerian market is no exception — many employees use these tools without supervision, creating shadow-IT risks. Companies that train their teams formally capture productivity gains (estimated 20-30% on office work) while preventing data leakage and compliance issues with Algerian Law 25-11 on personal data. Beeform Academy's AI training programs are calibrated for Algerian B2B reality: practical use cases for banking, industry, public sector, with French/Arabic prompt engineering and Law 25-11 compliance baked in.
Do my employees need technical background to follow AI training?
No, our AI literacy and Generative AI for business teams modules require zero technical background — they are designed for HR, marketing, finance, sales, operations staff. The technical tracks (Applied ML, AI risk & ethics) are for IT teams, data analysts, developers, or DPO. We assess prerequisites during the needs analysis call and propose the right track per profile, with mixed-cohort options when relevant. All sessions can be delivered in French or English; Arabic is available for specific modules on request.
Is the training MFEP-accredited and TFP-eligible?
Yes. Beeform Academy is accredited by the Algerian Ministry of Vocational Training and Education under N°410. All our AI training programs (literacy, generative AI, applied ML, automation) are officially eligible for TFP (Taxe de Formation Professionnelle Continue) recovery. We deliver all FNDFCP-compliant documentation: training agreements, attendance sheets, SCORM logs for e-learning, completion certificates, evaluation reports.
Can you deliver training on-site at our premises in Algeria?
Yes. We deliver in-person at your premises across Algeria (Algiers, Oran, Constantine, Annaba, and other wilayas on request) or virtual via Teams/Zoom for distributed teams. Blended formats (online theory + in-person workshop) are popular for AI training because they let trainees experiment with tools between sessions. Typical cohort: 8-15 participants, 2-3 days for foundational track, 5-10 days for advanced. Pricing on quote.
What's the difference between AI literacy and Generative AI training?
AI literacy is conceptual: what AI is, what it can/cannot do, governance, ROI framing, risk management — for executives and decision-makers (typically 1 day). Generative AI for business teams is operational: hands-on use of ChatGPT, Copilot, Gemini at work, with prompt engineering, guardrails, productivity workflows — for end users (typically 2 days). Most Algerian companies start with executives (AI literacy) to align on strategy, then roll out generative AI training to the whole staff.
How do you handle Law 25-11 (data protection) in AI training?
Every module includes a dedicated segment on Algerian Law 25-11 compliance for AI projects: what data can/cannot be sent to public LLMs (ChatGPT, Gemini), how to anonymize prompts, when DPO consultation is mandatory, contractual clauses with AI vendors, breach notification rules. We also help you draft an internal AI usage policy aligned with both Law 25-11 and your data governance posture. This is crucial because most enterprise AI projects fail compliance audits — not technical audits.
Train your team on AI tools
Free 30-min AI readiness assessment for your team. Identify highest-ROI use cases for your business.