AI training catalogue

Lab to automate lead qualification with an AI agent, for SDRs and acquisition managers. Set up an n8n workflow, interact with OpenAI, and synchronize results to a CRM through Google Sheets.

1 courses · 4 activities · 6 exercises · 0 videos

Design an automated agent that reads, classifies and drafts email replies. Guided lab focuses on integrating an LLM with an orchestrator (n8n) to route messages, apply rules and keep human validation using fictional data.

1 courses · 4 activities · 5 exercises · 0 videos

Guided tutorial to build a simple invoice processing agent. Combines n8n, OCR, Telegram and Google Sheets/Drive to receive, extract and store invoice data, with human checks and fictional data.

1 courses · 5 activities · 6 exercises · 0 videos

Lab for market analysts or account executives: build a web-research agent with Perplexity. Orchestrate via n8n, collect public information, store in Google Sheets and apply human verification procedures using fictional data.

1 courses · 5 activities · 6 exercises · 0 videos

Introduction to Gemini within Google Workspace: use Docs, Sheets, Slides and Gmail to generate, rephrase and automate content. Practical path using official local media and interactive steps to integrate Gemini into collaborative workflows.

1 courses · 5 activities · 1 exercises · 3 videos

Practical training focused on using Gemini features in Gmail: how to leverage drafting, summarization and contextual assistance directly in mail, with guided progression and interactive validations.

1 courses · 6 activities · 2 exercises · 4 videos

Apply Gemini in Google Sheets to automate text analysis, generate formulas and data summaries: prompts for extraction, cleaning and textual transformation within spreadsheets.

1 courses · 7 activities · 3 exercises · 4 videos

Learn to integrate and use Gemini inside Google Slides: generate slide content, adapt local media and run sequential interactions to enhance presentations. A hands‑on approach focused on in‑app use and handling of declared local media assets.

1 courses · 7 activities · 3 exercises · 4 videos

Learn to use Gemini within Google Docs: assisted writing, rephrasing suggestions and contextual content generation inside documents. Practical, usage-focused training that explains how to apply the available features in everyday document workflows.

1 courses · 8 activities · 8 exercises · 5 videos

Master Gemini in Google Drive to search, organize and enrich your files: conversational queries, summaries and generated descriptions. Emphasis on practical application to document management and information retrieval tasks.

1 courses · 8 activities · 4 exercises · 4 videos

Use Gemini in Google Meet to enhance meetings: automatic notes, real-time summaries and assistance preparing contributions. Practical focus on leveraging suggestions during and after video calls.

1 courses · 10 activities · 4 exercises · 5 videos

Technical hands-on introduction to the OpenAI API: authentication, API calls, error handling and integration best practices. Explains how to structure requests, manage cost and latency, and connect the API to existing applications.

1 courses · 11 activities · 0 exercises · 9 videos

Learn how to use Microsoft Copilot to build, refine and analyze PowerPoint presentations: content generation, text rephrasing and extracting insights. Practical course using local Projector media and sequential activities focused on slide production.

1 courses · 14 activities · 7 exercises · 7 videos

Practical training on responsible AI for consulting: AI-assisted research techniques, data analysis, actionable storytelling and visualization for client deliverables, plus integrating AI into decision support while respecting ethics and local controls.

1 courses · 17 activities · 6 exercises · 11 videos

Practical training on AI applied to human resources: uses for fairer recruiting, automation of HR operations, design of HR agents and privacy protection, with emphasis on human controls and impact analysis.

1 courses · 19 activities · 8 exercises · 11 videos

A Neopolis Akademy course for practical Claude use, prompting, Projects, connectors, and responsible AI fluency with local media and sequential activities. Lessons cover “Meet Claude”, “Organizing Your Work and Knowledge”.

1 courses · 19 activities · 13 exercises · 2 videos

Practical introduction to AI-augmented data analysis for data analysts: crafting defensible prompts, data-quality audits, insight validation and dashboard prototyping with local Projector media.

1 courses · 20 activities · 9 exercises · 11 videos

Discover how AI supports sales: targeted prospecting, message personalization, objection handling and automated sales coaching to improve commercial team efficiency.

1 courses · 22 activities · 10 exercises · 9 videos

Hands-on exploration of Google Cloud AI services to design, deploy and integrate models, APIs and inference pipelines. A beginner-focused approach aimed at product innovation and practical technical implementation.

1 courses · 23 activities · 14 exercises · 0 videos

Explore and leverage Microsoft Copilot in Word to draft, review, and refine documents. This hands-on module explains contextual suggestions, content generation and clarity improvements, with stepwise interactive practice to apply features directly in Word.

1 courses · 24 activities · 14 exercises · 10 videos

A beginner-friendly introduction to AI for non-technical people: core concepts, key terminology, practical use cases and ethical limits. No programming skills required; focused on understanding and applying AI in professional contexts.

1 courses · 25 activities · 4 exercises · 10 videos

Apply AI to marketing: campaign planning, content creation, segmentation and performance analysis, and designing custom marketing assistants to automate tasks and recommendations.

1 courses · 27 activities · 17 exercises · 10 videos

Practical course on responsible AI use in finance: assisted financial research and analysis, building reusable workflows for reporting, with local Projector media and sequential exercises.

1 courses · 28 activities · 18 exercises · 10 videos

A Neopolis Akademy course introducing Claude and the Anthropic API, with official local media, practical activities, and sequential progression. Lessons cover “Introduction à l’API Anthropic”, “Créer des prompts avec Claude”.

1 courses · 29 activities · 2 exercises · 10 videos

Introduction to AI concepts applied to the workplace: AI‑assisted productivity, prompt engineering principles and responsible usage. Practical course using local Projector media and sequential exercises to experiment with everyday AI assistance workflows.

1 courses · 30 activities · 19 exercises · 11 videos

Learn responsible 'vibe coding' with Replit: prompt and context engineering, iterative app development, quality control and deployment. Includes using local Projector media and sequential interactive activities to iterate on UX and app logic.

1 courses · 31 activities · 17 exercises · 14 videos

A Neopolis Akademy course introducing Claude Code: installation, prompting, daily development workflows, code review, context management, and customization with local media and sequential practice. Lessons cover “What is Claude Code?”, “Your first prompt”.

1 courses · 37 activities · 11 exercises · 12 videos

Learn to use Google Gemini and NotebookLM for research, synthesis and practical workflows. The course includes prompting exercises, handling notes in NotebookLM and interactive quizzes to master querying and integrating information.

1 courses · 48 activities · 28 exercises · 15 videos

Practical approach to prompt engineering for the OpenAI API: instruction design, context management, chain-of-thought and reusable templates. Provides methods to design, test and iterate reliable prompts for production use.

1 courses · 55 activities · 0 exercises · 15 videos

Preparation path for the official Anthropic certification examination. Master the fundamentals of Claude: platform features, prompting, evaluation, workflow integration, and responsible use. Its courses include “Claude Platform & Model Foundations”, “Prompting & Task Execution”.

8 courses · 69 activities · 46 exercises · 0 videos

Master n8n’s visual interface to automate repetitive tasks: form-triggered workflows, live API calls, and on-the-fly data transformations. This intermediate course emphasizes building efficient, modular automation flows.

1 courses · 18 activities · 7 exercises · 10 videos

Tutorial to automate accounting entry of invoices placed in Google Drive. Uses n8n, OpenAI and Google Sheets to extract, structure and prepare entries, including human checks and fictional data.

1 courses · 5 activities · 6 exercises · 0 videos

Practical lab to build an accounting bookkeeping agent that automates capture and filing. Uses n8n, OCR and email to extract documents, apply rules and prepare entries, working on fictional data with human checks.

1 courses · 5 activities · 6 exercises · 0 videos

Program on responsible accounting automation: implement controls, manage data, ensure compliance and apply AI to streamline recurring tasks. An approach centered on best practices and operational risk management.

1 courses · 47 activities · 10 exercises · 0 videos

Understand and optimize AI-related costs: token usage, GPU expenses, storage, vector DBs, evaluations, model routing and caching, budgets, and unit economics.

4 courses · 88 activities · 24 exercises · 12 videos

Advanced lab for financial analysts: build a RAG agent to analyze corporate financial results. Uses n8n to orchestrate GPT/Gemini, Pinecone for vector storage and Google Docs for outputs, with fictional datasets and human validation.

1 courses · 4 activities · 4 exercises · 0 videos

Advanced practical exercise to build monthly financial reporting with anomaly detection. Covers P&L data collection, n8n orchestration, AI-based anomaly analysis and alerting while ensuring human review of findings.

1 courses · 5 activities · 6 exercises · 0 videos

Guided lab for Google Maps prospecting for Business Developers and SDRs. Deploy an automation that gathers local listings, enriches and scores leads using n8n, Apify, Google Sheets and generative models.

1 courses · 4 activities · 6 exercises · 0 videos

Turn meeting minutes into decisions, Linear tasks and Slack notifications. Intermediate lab explains using Claude and n8n to analyze notes, identify decisions, create Linear tickets and notify via Slack, with checks and fictional data.

1 courses · 4 activities · 6 exercises · 0 videos

Guided practical lab for Data Analysts/BI to build a conversational Data Analyst. Assemble an n8n workflow with an AI agent, connect to Google Sheets or SQL, and implement human validation and control checks using fictional data.

1 courses · 4 activities · 5 exercises · 0 videos

Build complete RAG workflows with Weaviate: vector ingestion and indexing, retrieval query formulation, fusion with generation and orchestration to create robust RAG pipelines.

1 courses · 4 activities · 0 exercises · 4 videos

Guided hands-on exercise to automate invoicing and chasing unpaid invoices. Demonstrates orchestration of tools (n8n, Google Sheets, Groq, Gmail, Telegram, PDFShift) to produce invoices, detect due dates and send reminders while preserving human checks.

1 courses · 4 activities · 6 exercises · 0 videos

Practical introduction to Claude Code subagents: learn their purpose, configure secondary agents, handle delegation limits and generate structured outputs. A hands-on approach focused on concrete use with local media and stepwise activities.

1 courses · 4 activities · 0 exercises · 4 videos

Practical design of multi-agent systems with LangGraph: graph-based agents, swarms and supervisors, using local Projector media and sequential progression to orchestrate interactions and distributed tasks.

1 courses · 4 activities · 0 exercises · 4 videos

Practical exercise to build a recruitment process using role-specific agents. Demonstrates composing agents (n8n, Gemini, Forms, Drive, Sheets) for pre-qualification, selection and routing of applications with human oversight.

1 courses · 4 activities · 6 exercises · 0 videos

Practical exercise to automate candidate screening then schedule interviews. Uses n8n, OpenAI, Google Sheets, Calendar and email to parse CVs, auto-score applicants and trigger interview invites. Employs fictional data and human validation.

1 courses · 4 activities · 5 exercises · 0 videos

Intermediate practical exercise to process and classify CVs at scale (e.g. 1,000). Shows ingestion pipeline (PDF/text), extraction with OpenAI, n8n automation and structured storage (Notion, Sheets) with human review checkpoints.

1 courses · 5 activities · 6 exercises · 0 videos

Guided practical exercise for legal professionals to build an automated document classification and routing agent. Covers architecture, use of an LLM (Claude Sonnet), orchestrator n8n and Google Sheets storage, including controls and human validation.

1 courses · 5 activities · 6 exercises · 0 videos

Guided practical exercise to build an agent that automatically generates commercial proposals. Combines n8n with Claude or OpenAI and email delivery; focuses on proposal templates and synthesizing client needs, using fictional data and human validation.

1 courses · 5 activities · 6 exercises · 0 videos

Practical exercise to build an AI Agent that fully manages a Gmail inbox using n8n and an LLM. Flows for triage, auto-replies, prioritization and action delegation; runs in a safe setup with fictional data and human oversight.

1 courses · 5 activities · 5 exercises · 0 videos

Guided lab to create an agent that compares contract clauses against a legal playbook. Leverages n8n and Claude to analyse texts, Google Drive/Sheets as sources, and surfaces discrepancies or issues for human review.

1 courses · 5 activities · 6 exercises · 0 videos

Intermediate lab to automate risk analysis of a contract PDF. Technical chain: text extraction, parsing, clause evaluation with Gemini, reporting to Sheets and notifications via Slack, including human checks.

1 courses · 5 activities · 6 exercises · 0 videos

Exercise demonstrating employee onboarding automation by orchestrating Jira, Notion and Gmail via n8n and an LLM (GPT-4o/Azure). Create tasks, onboarding pages and automated notifications; uses fictional data and human checks.

1 courses · 5 activities · 6 exercises · 0 videos

Intermediate exploration of stateful agents and coordinated workflows using LlamaIndex. Covers orchestrating agents, managing memory/state, and structuring agentic information flows for conversational and retrieval-style pipelines.

1 courses · 5 activities · 5 exercises · 3 videos

Intermediate pathway on building explainable AI agents with Haystack. Covers index integration, traceability of agent decisions, and mechanisms to produce inspectable, justifiable outputs.

1 courses · 5 activities · 0 exercises · 5 videos

Guided practical work to build an AI customer support agent integrated with a helpdesk. Uses n8n and ticketing tools to automate routing, responses and escalations on fictional data, with controls and human validation.

1 courses · 5 activities · 6 exercises · 0 videos

Guided exercise to build an automated customer support agent with Make. Demonstrates connections to Zendesk and data stores (Airtable), request routing, AI-generated suggestions and human validation of answers.

1 courses · 5 activities · 6 exercises · 0 videos

Guided practical session to automate daily prospecting with personalized emails. Uses n8n, Google Places, OpenAI and SMTP to discover targets, generate tailored messages and send sequences, in a safe setup with fictional data and human review.

1 courses · 5 activities · 6 exercises · 0 videos

Design text-to-query agents that convert instructions into MongoDB queries using LangGraph. A hands-on approach focused on building a text-analysis pipeline, safely generating queries, and integrating with a document database.

1 courses · 5 activities · 0 exercises · 5 videos

Automate turning Telegram voice notes into Notion tasks. Intermediate lab shows using n8n to capture audio messages, transcribe with GPT‑4o, extract metadata and create Notion tasks with checks and fictional data.

1 courses · 5 activities · 5 exercises · 0 videos

Practical exercise to convert public comments into an operational content plan. Covers extraction and orchestration (Apify, n8n) from YouTube, TikTok and Reddit, then organizes and prioritizes ideas into Notion with human review.

1 courses · 6 activities · 5 exercises · 0 videos

Guided practical session demonstrating how to build an AI assistant that queries HubSpot in natural language to support sales tasks. Implemented with n8n, a Gemini model and HubSpot; uses fictional data and human checks to ensure safe interactions.

1 courses · 6 activities · 6 exercises · 0 videos

Guided practical lab for BI engineers, data engineers or advanced analysts: querying a MySQL database using natural language. Uses n8n and OpenAI to translate NL to SQL, execute queries and present results, with fictional data and human checks.

1 courses · 6 activities · 6 exercises · 0 videos

Intermediate course focused on building coordinated AI agent teams with CrewAI. Explains defining agent roles, inter-agent communication, and state persistence to compose collaborative automated workflows.

1 courses · 7 activities · 7 exercises · 2 videos

Practical introduction to generative AI workflows in Snowflake Cortex: data ingestion, prompt design, orchestration and securing generative calls within the data cloud.

1 courses · 7 activities · 0 exercises · 7 videos

Intermediate pathway to design and automate marketing workflows with n8n: orchestrating events, segmentation, contact enrichment and integrating multichannel actions via reusable flows.

1 courses · 8 activities · 0 exercises · 8 videos

Design of multimodal systems using the OpenAI API: audio processing, moderation and customer-support flows. The course describes multimodal ingestion, transcription, automated moderation and integration into support pipelines.

1 courses · 9 activities · 2 exercises · 7 videos

Master efficient model training in PyTorch: data handling, optimized training loops, hyperparameter tuning, parallelism and best practices to speed convergence and lower compute cost.

1 courses · 13 activities · 0 exercises · 13 videos

Learn to deploy robust AI APIs using FastAPI and Pydantic. The course addresses securing, optimizing, versioning and monitoring AI endpoints, with local hands-on media and sequential activities to build and maintain production services.

1 courses · 15 activities · 4 exercises · 14 videos

Practical training on designing and using reusable agent skills (Claude Code): structure, configuration, console testing and integration into interactive flows. Focused on reusability and operational robustness.

1 courses · 15 activities · 6 exercises · 6 videos

Advanced practical exercise to build an e‑commerce agent connected to orders and inventory. Orchestration with n8n, processing via Claude, integrations with Shopify/WooCommerce, Slack and PostgreSQL, using fictional data and human validation.

1 courses · 5 activities · 6 exercises · 0 videos

Hands-on lab to build an agent that reads, indexes and queries files stored on Google Drive and Supabase. Uses n8n to orchestrate flows, RAG for contextual retrieval, and human validation steps with fictional data.

1 courses · 5 activities · 6 exercises · 0 videos

Advanced practical exercise to develop a Zendesk agent using RAG (retrieval-augmented generation) with a document base and memory. Integrates n8n, Supabase, PostgreSQL and OpenAI for retrieval, context and persistence.

1 courses · 5 activities · 6 exercises · 0 videos

Build a Telegram executive assistant coordinating Gmail, Calendar and Notion. Advanced lab demonstrates orchestration with n8n and OpenAI to read messages, suggest calendar actions, manage appointments and prepare Notion records, with human checks and fictional data.

1 courses · 5 activities · 5 exercises · 0 videos

Hands‑on tutorial to control a Shopify store conversationally. Demonstrates orchestrating e‑commerce actions using n8n and APIs (OpenAI, Shopify, MCP) on fictional data, with built‑in checks and human validation.

1 courses · 5 activities · 6 exercises · 0 videos

Guided practical exercise showing how a Voice Agent performs pre-screening and a behavioral interview. Configure n8n, connect an LLM and ElevenLabs, and push results into an ATS (Notion). Uses fictional data with human review and control measures.

1 courses · 5 activities · 6 exercises · 0 videos

Advanced lab to orchestrate a multi-agent system for contract review and regulatory compliance. Combines n8n, models (GPT-4o), regulatory APIs and channels (Slack, Sheets) to distribute analysis, summarisation and escalation to humans.

1 courses · 5 activities · 6 exercises · 0 videos

Exercise to design an automated multi-agent SEO “agency”: SERP collection, brief generation, ranking monitoring. Uses n8n, GPT-4 and SerpAPI to orchestrate recurring tasks with human oversight.

1 courses · 6 activities · 5 exercises · 0 videos

Advanced lab to enrich and automatically qualify HubSpot records. For RevOps and CRM admins, it combines n8n, Azure OpenAI and enrichment sources to augment and score contacts.

1 courses · 6 activities · 6 exercises · 0 videos

Exercise focused on detecting viral content and automating publication. Combines scraping and automation (Apify, n8n, Airtable) with LLMs (Gemini) to select, rewrite and publish content under human supervision.

1 courses · 6 activities · 6 exercises · 0 videos

Advanced practical exercise to create a chatbot that can read a website and its documentation. Combines n8n, Perplexity and Pinecone to index content, retrieve context and reply via Gmail, in a secure, controlled setup.

1 courses · 6 activities · 6 exercises · 0 videos

Guided practical session to coordinate three agents for LinkedIn, X and Instagram. Shows how to orchestrate posts, adapt messaging and track activity using n8n, OpenAI, social APIs and Google Sheets, with fictional data and human controls.

1 courses · 6 activities · 6 exercises · 0 videos

Advanced course on Databricks automation via the Python SDK: managing clusters, jobs, and deploying AI models. Details programmatic use of APIs and structuring reproducible pipelines within a Databricks workspace.

1 courses · 9 activities · 1 exercises · 8 videos

Explore Graph RAG with LangChain and Neo4j: combine hybrid retrieval and graph memory to enrich responses, structure reasoning and maintain a relational knowledge history.

1 courses · 14 activities · 0 exercises · 11 videos

Learn to design and orchestrate AI agents using smolagents. The course presents agent construction, RAG approaches, inter-agent communication and coordination, and multi-agent workflows to tackle complex tasks.

1 courses · 15 activities · 5 exercises · 10 videos

Practical exploration of multimodal models for vision, audio, video and image generation. Focuses on integrating multimodal data flows, compatible architectures, open-source libraries and concrete steps to assemble models and pipelines.

1 courses · 15 activities · 0 exercises · 14 videos

The “Parcours Claude Science pour la recherche en sante” programme brings together 3 courses. Its courses include “Claude Science 1 - Fondamentaux et recherche responsable”, “Claude Science 2 - Installation et pratique reproductible”.

3 courses · 64 activities · 12 exercises · 2 videos

DATAS-STD-BPM-AI-001 methodology for transforming business processes: identification, mapping, documentation, AI potential assessment and prioritization of use cases. A program focused on systematic analysis and building an operational use-case portfolio.

5 courses · 17 activities · 0 exercises · 0 videos

Intermediate course on the OpenAI Responses API: build interactive applications that handle local media and sequential interactions. Practical focus on prompt design, state management, and producing reliable model responses.

1 courses · 17 activities · 4 exercises · 11 videos

Practical approach to designing scalable agent architectures: MCP/A2A interoperability, production testing, observability and resilient deployments, using sequential activities and local media to simulate complex flows.

1 courses · 19 activities · 9 exercises · 10 videos

A Neopolis Akademy course on practical software development workflows with Claude Code, local media, interactive exercises, and sequential progression. Lessons cover “Getting Started with Claude Code”, “Extending Claude Code”.

1 courses · 22 activities · 8 exercises · 14 videos

Learn to design and deploy production-ready n8n workflows that incorporate local media and sequential autonomous tasks. This intermediate course focuses on building, orchestrating, and hardening reliable automated flows for real-world use.

1 courses · 26 activities · 12 exercises · 13 videos

Master AI-assisted development: effective prompting, assisted debugging, documentation generation, testing strategies and secure workflows. The course includes prudent model use and local Projector media for sequential interactive exercises.

1 courses · 27 activities · 12 exercises · 10 videos

Practical course on responsible GitHub Copilot use for software development: context engineering, customizing suggestions, testing strategies, code security and performance optimization within iterative development cycles.

1 courses · 27 activities · 25 exercises · 13 videos

Course focused on Windsurf and related tools for context-aware development, AI-assisted debugging, secure deployment and production monitoring. Emphasizes workflows, tool integration and operational best practices.

1 courses · 28 activities · 17 exercises · 11 videos

Technical overview of the Model Context Protocol: designing MCP servers/clients, exchanging context with local Projector media, and best practices for connecting, securing and evaluating MCP services.

1 courses · 30 activities · 17 exercises · 11 videos

Deepening best practices for training and optimizing large-scale models with PyTorch Lightning. Covers code structuring, distributed training strategies, robust validation and hyperparameter tuning for reproducible model development.

1 courses · 30 activities · 3 exercises · 10 videos

Practical intermediate course to build AI systems with the OpenAI API: designing calls, context management, prompt security and integrating into sequential applications.

1 courses · 35 activities · 7 exercises · 11 videos

Hands-on introduction to embeddings with the OpenAI API: vector representations, semantic search and recommendation pipelines. Covers creating embeddings, indexing, vector querying and practical scaling strategies.

1 courses · 36 activities · 4 exercises · 11 videos

Preparation path for the official Anthropic certification examination. Build production-grade applications with the Claude API, agents, tool use, MCP, and security best practices. Its courses include “MSO Foundations”, “Production-Grade Prompting, Agents & Tool Use”.

5 courses · 54 activities · 37 exercises · 0 videos

Design robust data pipelines for RAG: ingestion, parsing, chunking, embeddings, vector and hybrid search, access control, citation handling, and data refresh strategies.

4 courses · 80 activities · 0 exercises · 12 videos

Learn to design AI products that are useful and adopted by combining product discovery, human-centered UX, human-in-the-loop feedback, trust-building, and launch metrics. Practical focus on UX, feedback loops, and adoption indicators.

4 courses · 92 activities · 36 exercises · 12 videos

Master building complete AI applications: streaming interfaces, secure backends, authentication, persistence, file handling, tool integration and deployment. A modular path covering foundations, APIs, frontend UX and testing/deployment.

4 courses · 92 activities · 39 exercises · 12 videos

Exploration of large language model fundamentals: Transformer architecture, tokenization, dataset preparation and training workflows. A technical approach focused on understanding components and training stages.

1 courses · 103 activities · 0 exercises · 0 videos

Preparation path for the official Anthropic certification examination. Design AI systems at scale: API architecture, multi-cloud deployment, Claude Code, and Model Context Protocol. Its courses include “AI Fluency: Framework & Foundations”, “Building with the Claude API”.

7 courses · 373 activities · 1 exercises · 24 videos

A Neopolis Akademy course on steering, securing, automating, and verifying longer Claude Code sessions with local media and sequential activities. Lessons cover “Steer the Work”, “Configure Claude”.

1 courses · 22 activities · 13 exercises · 9 videos

Practical approach to AI‑assisted software engineering: code analysis, performance, testing, security, architecture, databases and human–AI collaboration, using local tools for interactive activities.

1 courses · 32 activities · 13 exercises · 10 videos

Deep dive into the Model Context Protocol: message flows, roots management, transport selection and stateful StreamableHTTP communication. A technical course focused on integration and state exchanges using local media and sequential exercises.

1 courses · 32 activities · 17 exercises · 10 videos

Preparation path for the official Anthropic certification examination. Master enterprise architecture: solution design, production systems, responsible AI governance, and team enablement. Its courses include “Claude Platform Solution Design”, “Enterprise Integration Production”.

5 courses · 54 activities · 11 exercises · 0 videos

Advanced course focused on using Codex to drive BI workflows: CSV profiling, star-schema modeling and data marts, DAX expressions, Power BI semantic models, executive reporting and pipeline automation.

8 courses · 73 activities · 7 exercises · 0 videos

Deploy reliable AI workloads: containers, Kubernetes for GPU workloads, serverless approaches, vLLM model serving, autoscaling, reliability practices and levers to control cost and performance in production.

4 courses · 80 activities · 0 exercises · 12 videos

Optimize production RAG systems: diagnose failure modes, apply query rewriting and reranking, design multi‑index retrieval, create synthetic datasets, use targeted metrics and set up human review workflows to monitor quality and mitigate drift.

4 courses · 84 activities · 12 exercises · 12 videos

Establish auditable AI governance: inventory systems, risk classification, policies, alignment with NIST AI RMF and regulatory readiness, documentation and incident reporting.

4 courses · 84 activities · 13 exercises · 12 videos

Advanced training to secure LLM applications: threat identification, defenses against prompt injection and data leakage, hardening RAG pipelines, securing agents/tools, and mitigating supply-chain risks.

4 courses · 84 activities · 13 exercises · 12 videos

Advanced program to instrument and monitor AI systems: traces, tokens, costs, latency, response quality, incidents and SLOs to improve reliability and observability of LLM applications.

4 courses · 88 activities · 24 exercises · 12 videos

Advanced specialization on open‑source models: model selection and adaptation, dataset preparation, PEFT/LoRA/QLoRA/TRL methods, fine‑tuning and evaluation for deployment.

4 courses · 92 activities · 44 exercises · 10 videos

This advanced training pathway structures customer-facing Claude delivery: qualifying use cases, running measured pilots, and guiding enterprise adoption from initial activation through expansion.

11 courses · 220 activities · 100 exercises · 77 videos