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Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.
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Cybersecurity training in Oklahoma City in December 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Master competitive analysis skills essential for product teams with this step-by-step guide, including tools, frameworks, and 2026 trends like AI-driven insights.
No-Code / Low-Code training in Leeds in November 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Professional Training training in Memphis in October 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
The Training Ghidra 2026 - Analyze Complex Binaries as an Expert training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.
The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.
To ensure the quality of the Training Ghidra 2026 - Analyze Complex Binaries as an Expert training, Learni provides the following teaching resources:
For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.
The assessment of skills acquired during the Training Ghidra 2026 - Analyze Complex Binaries as an Expert training is carried out through:
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Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
Dive into the Ghidra 2026 environment with import of real ELF/PE binaries, hands-on with the API for Jython scripts automating function recognition, exercises on interactive disassembly of concrete malwares, creation of your first basic analysis script with structured report generation, real-time debugging to validate control flow, all to gain professional efficiency from day one.
Explore Ghidra 2026 pcode decompilation on obfuscated binaries, analysis of control and data flow graphs to identify malicious patterns, practical exercises on vulnerable IoT firmwares with automatic variable renaming, integration of cross-references to trace dynamic calls, production of exportable diagrams for enterprise use, transforming hours of manual analysis into immediate actionable insights.
Integrate Ghidra 2026 headless mode for batch analyses in cybersecurity CI/CD pipelines, coupling with external debuggers like GDB for runtime validation, exercises on automated binary patching via scripts, real ransomware cases with encrypted string and key extraction, development of custom extensions for your enterprise stack, deliverables including reproducible pipelines to boost your certifying reverse engineering skills.
Design scalable Ghidra 2026 pipelines for teams, creation of custom plugins for zero-day detection, exercises on automated reporting with JSON/XML exports for SIEM, performance optimization on large binaries via headless and Docker, enterprise case study on APT analysis, finalization of red thread project with expert code review, ready to deploy impactful professional skills in cybersecurity.
Target audience
Reverse engineers, malware analysts, cybersecurity experts seeking professional skill advancement
Prerequisites
Mastery of x86/ARM assembly, advanced reverse engineering, Java/Python, manual binary analysis
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