Master Advanced Generative & Agentic AI skills with Techpratham’s hands-on training in London—learn cutting-edge AI techniques and applications.
Level
Advanced
Duration
8 Weeks



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Elevate your career with Techpratham’s Advanced Generative AI and Agentic AI Training in London, a premier program designed for Machine Learning Engineers, Software Developers, Data Scientists, Graduates, Tech Enthusiasts, Business Leaders, Product Managers, and Entrepreneurs looking to lead the autonomous intelligence revolution. Our live interactive classes provide hands-on experience in building complex multi-agent systems and sophisticated generative workflows, ensuring you stay at the forefront of 2026’s tech landscape. Most importantly, we bridge the gap to your dream role with our 100% assured placement program, offering direct access to London’s top-tier hiring partners and personalized career mentorship.
Working professional who is carrying more then 10 years of industry experience.
Access to updated presentation decks shared during live training sessions.
E-book provided by TechPratham. All rights reserved.
Module-wise assignments and MCQs provided for practice.
Daily Session would be recorded and shared to the candidate.
Live projects will be provided for hands-on practice.
Expert-guided resume building with industry-focused content support.
Comprehensive interview preparation with real-time scenario practice.
Python for AI & Automation (Foundation Layer)
Python for AI & Automation (Foundation Layer) builds core Python skills to automate tasks and create a strong base for AI and machine learning development.
Introduction to Agentic AI & LLM Ecosystem
A foundational overview of how autonomous AI agents work with large language models to plan, reason, and execute tasks across modern AI systems.
Basics of LangChain and LangGraph
An introductory overview of using LangChain and LangGraph to build, connect, and orchestrate intelligent, multi-step AI workflows.
Exploring LangGraph Core Concepts
A concise introduction to building stateful, multi-step AI workflows using LangGraph for agent orchestration and decision-making.
Python SDK and Node Configuration
An overview of setting up the Python SDK and configuring nodes to build, connect, and manage scalable AI workflows efficiently.
Multi-Agent Setup with LangGraph
A practical introduction to designing and orchestrating multiple AI agents that collaborate and share state using LangGraph.
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Agentic AI Engineer
Multi-Agent Systems (MAS) Architect
Generative AI Solutions Architect
LLM Operations (LLMOps) Engineer
RAG (Retrieval-Augmented Generation) Specialist
AI Agent Orchestration Specialist
Cognitive Architecture Designer
Synthetic Data Engineer
AI Workflow Architect
Responsible AI & Governance Lead
AI Agent Onboarding Manager
AI Product Manager (Agentic Systems)
Agentic AI Engineer
Multi-Agent Systems (MAS) Architect
Generative AI Solutions Architect
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