Learn agentic AI, generative AI, and practical LLM workflows in London with tools like OpenAI API, LangChain, Hugging Face, LangGraph, AutoGen, CrewAI, Pinecone, Docker, FastAPI, and Playwright. You will build working agents, RAG-based systems, and deployment-ready AI projects from the syllabus, not just 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₹
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Learning AI is only part of the job search. You also need a resume, project story, interview practice, and a clear match between your skills and the roles hiring in London. Inventateq supports that process with practical placement help built around the actual course projects and job roles.
London companies hire AI learners across analytics, automation, product, and consulting teams. Pay grows with project experience, tool depth, and the ability to deploy real systems rather than only write prompts.
Average AI Salary by Experience in London
London companies hire AI learners across analytics, automation, product, and consulting teams. Pay grows with project experience, tool depth, and the ability to deploy real systems rather than only write prompts.
Average AI Salary by Experience in London
4.7/5 Google Rating | 1,432+ Verified Reviews
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Inventateq teaches artificial intelligence in a practical way, using the syllabus to move from prompt design and tool use to memory, agents, workflows, and deployment. The course is built around real implementation work with OpenAI API, LangChain, LangGraph, Pinecone, Docker, and FastAPI, so learners understand how AI systems are actually put together.
We stand apart through our commitment to:
Our live online Artificial Intelligence training is available for London learners who want flexible access without losing instructor support. Sessions are interactive, practical, and built around the same syllabus, so you still get project guidance, doubt clearing, and deployment-oriented training.
Learners who want a structured start in generative AI, agents, and LLM workflows.
People in analytics, operations, marketing, or reporting who want to move into AI-enabled roles.
Freshers who want project-based AI skills for entry-level analyst or developer roles.
Professionals shifting into AI, data, or automation work with practical tools.
Anyone who wants to learn OpenAI, LangChain, LangGraph, and deployment basics.
Duration: Structured across multiple modules with project work and deployment topics.
Mode: Offline classroom and live online training options.
Training style: Instructor-led sessions with hands-on practice.
Batch support: Weekday and weekend options are available.
You can join even if you are starting from the basics.
Rated 4.9/5
Inventateq keeps the training focused on what you can actually do with AI after class. The course combines guided explanation, hands-on implementation, project work, and deployment practice so learners understand both the concepts and the workflow.
This course gives you practical experience with agent design, prompt engineering, vector databases, multi-agent systems, and deployment. You finish with projects and a clearer understanding of how to discuss your work in interviews.
You learn to create agents that can reason, call tools, manage memory, and handle workflows instead of just generating text.
You build practical examples such as a research agent, a data analyst agent, and an end-to-end chatbot project.
You work with FastAPI, Docker, async workflows, and cloud deployment so your projects are closer to production use.
The syllabus moves from prompts and tool use to planning, observability, and final deployment.
You gain exposure to LangChain, LangGraph, AutoGen, CrewAI, Pinecone, Hugging Face, and OpenAI API.
You get support in explaining your projects, showing your process, and connecting your skills to job roles.
The certification shows that you have completed structured training in agentic AI, generative AI, and deployment-oriented project work. It helps employers see that you have practical exposure to the tools and workflows used in AI roles.
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.
Yes. The syllabus starts with the evolution from NLP to LLMs, chatbots, and agents, so beginners can follow the learning path. You do not need prior experience with agent frameworks before joining. The course is structured to build your understanding step by step.
Yes. The syllabus includes a research agent, a data analyst agent, and a generative AI project with deployment. You also work on chatbot creation and practical exercises around memory, tools, and function calling. These projects help you understand how the concepts connect in real work.
Yes. Placement support includes resume help, mock interviews, project presentation guidance, and career mentoring. The focus is on helping you prepare for roles related to AI, analytics, and business analysis. Support is tied to the work you complete in training.
Yes, if you are willing to learn step by step and practice regularly. The course begins with fundamentals and gradually introduces frameworks, memory, and deployment topics. That makes it manageable for learners who are new to AI. You will still need to spend time on practice, especially for the project sections.
Yes. Inventateq offers both offline classroom training and live online training. The online format is useful if you want to attend from home or from another part of the UK. Both formats follow the same practical syllabus and mentor-led approach.
You will work with OpenAI API, LangChain, LangGraph, AutoGen, CrewAI, Hugging Face, Pinecone, Docker, FastAPI, Playwright, and Selenium. The course also covers function calling, guardrails, observability tools, and deployment workflows. These tools are chosen from the actual syllabus and are used in the hands-on modules.
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