Master Generative AI and Agentic AI workflows in Paris. Build autonomous systems and drive digital impact with Techpratham’s elite industry-led training.
Level
Advanced
Duration
8 Weeks



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Accelerate your career in Europe’s AI capital with our Advanced Generative AI and Agentic AI Training in Paris. This program is engineered for the French tech ecosystem, focusing on the industrialization of LLMs, sovereign RAG architectures, and multi-agent orchestration for enterprise-scale deployment. From advanced prompt engineering to building autonomous agents with frameworks like LangChain, you will bridge the gap between R&D and production. Designed for GenAI engineers and automation architects in sectors from FinTech to Luxury, this training emphasizes performance optimization, GDPR-compliant workflows, and the strategic integration of agentic systems into the global digital value chain.
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
Generative AI Solutions Architect
RAG (Retrieval-Augmented Generation) Specialist
Cognitive Architecture Designer
AI Workflow Architect
AI Agent Onboarding Manager
Multi-Agent Systems (MAS) Architect
LLM Operations (LLMOps) Engineer
AI Agent Orchestration Specialist
Synthetic Data Engineer
Responsible AI & Governance Lead
AI Product Manager (Agentic Systems)
Agentic AI Engineer
Generative AI Solutions Architect
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Revolutionize Paris retail with our agentic AI assistant. It provides real-time product recommendations, personalized shopping experiences, and inventory insights. By interacting naturally with customers, it enhances engagement, streamlines store operations, and increases sales. Ideal for Parisian boutiques and department stores, this AI adapts to shopper behavior, creating an innovative and responsive retail environment.
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How is Agentic AI different from basic Generative AI?
Could you clarify if the curriculum includes hands-on engagement with live industry use cases or real-world projects?"
How does the program integrate career services and placement support to help participants transition into high-growth AI roles?
Can I switch between batches if my schedule changes?
Is there a Certification provided at the end?
Could you please provide the detailed duration , schedule and available slots for the upcoming training sessions?

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