Unleash innovation with Advance Generative AI and Agentic AI Training in Nairobi, Kenya by Techpratham—gain future-ready AI skills and lead the next tech revolution.
Level
Advanced
Duration
8 Weeks



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Cultivate your career potential with Techpratham’s Advanced Generative AI and Agentic AI Training in Nairobi, Kenya—a high-impact program for ambitious ML engineers, developers, innovators, and founders driving East Africa’s digital growth.This industry-aligned curriculum goes beyond LLM fundamentals to help you build autonomous agents, orchestrate multi-agent systems, and deploy enterprise-grade AI solutions. Designed for Nairobi’s fast-growing sectors—FinTech, AgriTech, HealthTech, Logistics, E-commerce, and ClimateTech—you’ll work on real-world projects like AI-powered credit risk models, smart agricultural advisors, and intelligent supply chain systems.With expert mentorship, career guidance, and strong job-assurance, you’ll gain the skills and confidence to secure high-growth AI roles and lead innovation in one of Africa’s top tech hubs.
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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