Learn agentic AI and generative AI in Frankfurt with hands-on work in OpenAI API, LangChain, Hugging Face, Pinecone, and real agent frameworks like LangGraph, AutoGen, and CrewAI. You will build structured agents, memory-driven workflows, and deployment-ready projects that fit the work employers expect from an AI institute in Frankfurt.
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 part of the job-ready path. Inventateq adds placement support so learners in Frankfurt can present their skills clearly, handle interviews well, and apply for roles where agentic AI, automation, and LLM workflows are being used in real projects.
In Frankfurt, AI roles are common across technology teams, analytics teams, consulting, finance, and automation-focused businesses. Pay usually rises with experience as you move from implementation work to system design, deployment, and team leadership.
Artificial Intelligence Average Salary by Experience
In Frankfurt, AI roles are common across technology teams, analytics teams, consulting, finance, and automation-focused businesses. Pay usually rises with experience as you move from implementation work to system design, deployment, and team leadership.
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 with a clear project path: start from LLM basics, move into prompt engineering, then build agents with tools, memory, guardrails, evaluation, and deployment. The training is practical and tied to the actual syllabus, so learners in Frankfurt work on OpenAI API, LangChain, Hugging Face, vector databases, and agent frameworks instead of only theory.
We stand apart through our commitment to:
The live online mode lets learners in Frankfurt attend sessions from home or work without losing trainer interaction. Classes stay practical, with demonstrations, project tasks, and guided exercises on OpenAI API, LangChain, vector databases, and deployment workflows.
Good for learners who want a practical entry into AI, agents, and LLM-based projects.
Useful for developers who want to move into agentic AI, automation, and LLM application building.
Helps analysts add AI workflows, Python-based tools, and model-assisted automation to their profile.
Fits professionals who want to understand AI systems and work on AI-driven business use cases.
Suitable for non-AI professionals who want structured training with projects and placement support.
Duration: Structured across multiple modules covering agentic AI, generative AI, and deployment.
Mode: Available in classroom and live online formats.
Training Style: Hands-on sessions with demos, exercises, and project work.
Support: Trainer-guided practice with doubt clearing during the course.
No prior AI background is required to start the course.
Rated 4.9/5
Inventateq keeps the training practical, structured, and tied to job outcomes. The course follows the syllabus step by step, so learners build real understanding of agentic AI, generative AI, and deployment instead of only reading concepts.
This course gives learners direct experience with AI tools, agent frameworks, memory systems, guardrails, evaluation, and deployment. The work you complete during training helps you show practical ability instead of only course attendance.
You will create research agents, workflow-based agents, and data analyst agents using the tools covered in the syllabus.
Hands-on work includes OpenAI API, LangChain, Hugging Face, Pinecone, LangGraph, AutoGen, and CrewAI.
You will understand how to move from prompts and prototypes to deployable services with FastAPI, Docker, and cloud wrappers.
The course teaches both short-term and long-term memory, along with vector database use for agent memory.
You will work with guardrails, approval flows, and budget limits to make autonomous systems safer.
Training includes project presentation support so you can describe your stack, workflow, and results clearly.
The certification shows that you completed structured training in agentic AI, generative AI, workflows, and deployment. It helps employers see that you have worked with the tools and concepts used in practical AI project environments.
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, the course is suitable for beginners who want a structured start. It begins with AI evolution, agency, prompt engineering, and tool use before moving into advanced frameworks and deployment. If you are new to agentic AI, the teaching path is designed to build understanding step by step.
Yes, the training is project-based. You will work on examples such as a research agent, a data analyst agent, and a generative AI project with deployment. These projects help you practice the tools and explain your work in interviews.
Yes, placement support is part of the course. Inventateq helps with resume preparation, mock interviews, portfolio presentation, and role guidance. The support is practical and tied to the kinds of AI and analytics roles listed for this course.
Yes, non-technical learners can join if they are ready to follow a structured training path. The course starts from the basics and builds up to agents, memory, and deployment in a logical order. A willingness to practice Python-based and tool-based tasks will help you move faster.
Yes, live online training is available. It is a good option if you want to attend from home or balance training with work or study. The online format still includes live demonstrations, project practice, and trainer interaction.
The syllabus is organized across multiple modules and project stages, including generative AI foundations and agentic AI topics. The exact schedule can vary based on the batch mode and pace. You can choose a format that suits your availability and learning goals.
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