Free AI training in IT and development

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

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

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

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

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

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

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

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

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

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

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

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

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 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

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

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

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

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

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