Learn agentic AI and generative AI in Munich with practical training on OpenAI API, LangChain, LangGraph, Hugging Face, Pinecone, FastAPI, Docker, and cloud deployment. You will build agents, manage memory, connect tools, and deploy working AI workflows, not just study theory.
14,200+ (Placed)
Freshers to IT
7,100+ (Placed)
Non-IT to Tech
5,800+ (Placed)
Career Gap Fillers
6,400+ (Placed)
Upskilling Success
24,999₹
In 60 Days + Placement
Free Session
Get Job with our Guaranteed Placement Support Program
Learning AI is only useful when you can show real work and explain it clearly in interviews. Inventateq supports learners in Munich with practical placement guidance so they can move from course projects into roles that use agentic AI, generative AI, and automation workflows.
AI, analytics, and automation roles in Munich are usually found in product teams, consulting, operations, and data-driven business functions. Pay grows with hands-on project experience, deployment skills, and the ability to work with frameworks, APIs, and production workflows.
Artificial Intelligence Average Salary by Experience
AI, analytics, and automation roles in Munich are usually found in product teams, consulting, operations, and data-driven business functions. Pay grows with hands-on project experience, deployment skills, and the ability to work with frameworks, APIs, and production workflows.
Artificial Intelligence Average Salary by Experience
4.7/5 Google Rating | 1,432+ Verified Reviews
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Success Result: Our students are competing at global levels. Watch their placement journey here.
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4.7/5 · 1,432+ Verified Reviews
Inventateq teaches AI the practical way, using the same building blocks used in real agent systems: prompts, tools, memory, workflows, evaluation, and deployment. The syllabus moves from fundamentals to production-style work, so learners in Munich can understand how AI systems are built, tested, and shipped.
We stand apart through our commitment to:
The live online format is open to learners in Munich who want the same practical training without traveling to class. Sessions are interactive, and you can follow the trainer while working through the same agent-building and deployment exercises. It suits working professionals and students who need flexibility.
Learners who want a structured start in agentic AI, generative AI, and practical tooling.
Programmers who want to build AI assistants, workflows, and deployed services.
Analysts and BI users who want to move into AI-enabled automation and decision systems.
Operations, marketing, and strategy professionals who need AI for process work and reporting.
Anyone in Munich aiming to move into AI, analytics, or consulting roles with hands-on training.
Mode: Offline and live online batches
Focus: Agentic AI, generative AI, and deployment
Training style: Practical, guided, project-based sessions
Support: Assignments, doubt clearing, and certification help
No prior AI experience is required to begin this course.
Rated 4.9/5
Inventateq keeps the course practical from the first module. The focus is on building, testing, and deploying AI workflows with clear guidance at every stage, so learners in Munich can move through the syllabus with real implementation experience.
By the end of the course, learners have built AI workflows they can explain, demonstrate, and refine. They also understand how to connect models, tools, memory, guardrails, and deployment into one working system.
Learn to create ReAct-based agents, function-calling workflows, and multi-agent systems using the tools in the syllabus.
Compare LangChain, LangGraph, AutoGen, and CrewAI, then choose the right structure for a task.
Take an AI workflow from notebook work to an API-backed deployment using FastAPI, Docker, and cloud hosting.
Use vector databases, RAG-style memory, and episodic state to make agents more useful over time.
Use approvals, interrupts, guardrails, and budget controls so the system stays manageable.
Turn project work into clear talking points for AI, analytics, and consulting roles in Munich.
The certification validates that you completed practical training in agentic AI, generative AI, and deployment-focused workflows. It helps show employers that you have worked with real tools and can discuss how AI systems are built.
Earn this certificate upon successful completion of our training program.
Validate your skills with recognized industry credentials.
Earn this certificate upon successful completion of our training program.
Validate your skills with recognized industry credentials.
Yes, beginners can join. The course starts with core AI concepts such as the move from NLP to LLMs, chatbots, and agents, then builds toward more advanced topics. You do not need prior experience with agentic systems to begin.
Yes, the syllabus includes hands-on work throughout the course. You will build a Research Agent, a Data Analyst Agent, and a generative AI project, and you will also work on deployment tasks. The training is designed so that practical work supports every major topic.
Yes, placement support is part of the training approach. You get help with resumes, interview practice, portfolio presentation, and career direction. The support is focused on helping you explain your AI projects clearly to employers.
Yes, learners from business, operations, and analytics backgrounds can join if they want a structured AI path. The course explains concepts clearly and connects them to practical use cases. That makes it easier to understand how AI tools and workflows fit into real work.
Yes, live online training is available. You can attend the same sessions in real time, follow the trainer, and complete the practical exercises from your location. This is useful for working professionals or learners who need flexibility.
The course duration follows the module plan in the syllabus, with weekly progression through agentic AI, prompting, tools, memory, frameworks, and deployment. The exact pace can vary by batch mode and learning track. The structure is meant to give enough time for practical work, not just fast theory coverage.
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