Learn agentic AI, Generative AI, and practical LLM workflows in Berlin with hands-on work in OpenAI API, LangChain, LangGraph, Hugging Face, Pinecone, Docker, FastAPI, and cloud deployment tools. Build agents that can reason, call tools, manage memory, and ship to production with clear project work.
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
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Learning agentic AI is only useful when you can present it well in interviews and show practical work. Inventateq helps you turn the course projects into a job-ready profile for AI, analytics, and automation roles in Berlin.
Berlin hiring for AI training outcomes spans analytics, automation, product, and platform teams. As you move from project-level work to deployment and architecture, pay grows with your ability to build reliable agentic systems.
Artificial Intelligence Average Salary by Experience
Berlin hiring for AI training outcomes spans analytics, automation, product, and platform teams. As you move from project-level work to deployment and architecture, pay grows with your ability to build reliable agentic systems.
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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Inventateq teaches artificial intelligence through working modules that follow a real build sequence: prompting, tool calling, memory, frameworks, planning, multi-agent systems, guardrails, evaluation, and deployment. The course is practical from the first week, with projects such as a research agent, a data analyst agent, and a deployed multi-agent service.
We stand apart through our commitment to:
Live online classes for learners in Berlin follow the same practical flow as classroom training. You can join sessions remotely, ask questions in real time, and complete the same AI projects with mentor guidance.
Good for learners starting with AI, LLMs, and practical project work.
Useful if you already know basic programming or data work and want applied AI skills.
Helps you use AI tools for research, reporting, and workflow automation.
Fits professionals who want to move into AI, automation, or analytics roles.
A strong option if you want structured training instead of self-learning only.
Duration: Structured across syllabus weeks and project work.
Mode: Offline classroom and live online options.
Learning style: Theory, practicals, assignments, and certification.
Batch options: Weekday and weekend batches available.
No prior AI project experience is required to start.
Rated 4.9/5
Inventateq keeps the training practical and job-focused. You learn the tools, the workflow, and the deployment side of artificial intelligence so the course leads to usable skills, not just notes.
You will finish the course with working knowledge of prompts, tools, memory, multi-agent systems, evaluation, and deployment. The focus is on building and explaining real AI projects with the right tools.
Create agents that can reason, choose tools, and complete tasks using the ReAct pattern and function calling.
Practice with LangChain, LangGraph, AutoGen, CrewAI, FastAPI, Docker, Pinecone, and OpenAI API.
Learn how to manage context windows, vector memory, semantic retrieval, and episodic memory in agent systems.
Add guardrails, approval steps, budgets, and human-in-the-loop controls to autonomous workflows.
Use tracing, observability, and evaluation methods to find failure points and improve results.
Move from notebooks to cloud deployment with asynchronous agents, API endpoints, and containerized services.
The certification validates that you have completed practical training in agentic AI, generative AI, and deployment workflows. It shows employers that you can work with the core tools and build project-based solutions.
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 path into AI. It starts from the evolution of NLP, LLMs, chatbots, and agents before moving into tools, memory, frameworks, and deployment. If you are new, you can follow the sequence step by step.
Yes, the course includes practical work throughout the syllabus. You will build a research agent, a data analyst agent, and generative AI projects, along with deployment exercises. The training is designed to make you work with the tools directly.
Basic programming helps, but the course is structured so you can learn the tools in order. Python, LangChain, OpenAI API, and related workflows are taught in a practical way. If you are from analytics, business, or another technical background, the course can still fit you well.
Yes, placement support is part of the training process. It includes resume preparation, project presentation support, mock interviews, and career guidance. The goal is to help you explain your AI skills clearly for analyst and AI-focused roles.
Yes, live online training is available for learners in Berlin. You attend sessions in real time, ask questions, and work through the same practical topics as classroom learners. This is useful if you want flexibility without losing mentor interaction.
The syllabus is spread across multiple modules and project-based sessions, so you get enough time to understand and practice each topic. The format includes theory, practicals, assignments, certification, and project work. Weekday and weekend learning options are available.
You will work with tools such as OpenAI API, LangChain, LangGraph, AutoGen, CrewAI, Hugging Face, Pinecone, FastAPI, Docker, LangSmith, and Phoenix Arize. The course also covers vector databases and cloud deployment workflows. These tools are used directly in the syllabus, not only mentioned in theory.
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