Become an AI Engineer: Build & Ship Next-Gen Agents
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Session Now
What to Expect from the Webinar
Learn the essential skills and frameworks driving modern
AI Engineering. From GenAI foundations to AI Agents,
discover how to build production-ready AI solutions
and accelerate your career.
Essential Skills for a First AI Job
The Difference Between AI, ML and GenAI Roles
Beginner to Getting Hired Roadmap for GenAI Engineer
The AI Engineer Interview
Role of a GenAI Engineer
Learn Directly from Leading
AI Engineers & Career
Development Coaches
Our mentors are industry practitioners and career specialists with deep expertise in AI Engineering, Machine Learning, and career growth.
Sachith Gunasekara
Sabilashan Ganeshan
Shaqeeq
Dilshara
AI Engineer
Professional Certification Program
Join the waitlist now to get
an exclusive discount
Become a production-ready AI Engineer through our comprehensive, hands-on bootcamp. Master Generative AI foundations, LLMs, RAG systems, AI agents, and advanced deployment strategies. Build real-world projects with LangChain, LlamaIndex, and vector databases, then scale your solutions to the cloud with LLMOps practices. Build your technical expertise and portfolio to step confidently into senior AI roles and enterprise initiatives.
Join the waitlist now to get
an exclusive discount
What you'll Master
Learn to build production-ready AI apps from the ground up. Master GenAI
foundations, advanced RAG systems, intelligent agents, and enterprise
deployment to become an AI Engineer that stands out.
GenAI Foundations & LLMs
Understand transformer architecture, embeddings, and master API integration with leading models like GPT, Claude, Llama, and Gemini.
Prompt Engineering Mastery
Design, optimize, and deploy advanced prompt patterns while building reusable, production-ready prompt engineering tools.
Retrieval-Augmented Generation (RAG)
Develop RAG pipelines with document processing, chunking, vector databases, and robust evaluation methods for real-world retrieval tasks.
Enterprise RAG with LlamaIndex
Implement advanced RAG applications using LlamaIndex, customize retrievers, and optimize systems for business-critical use cases.
AI Agents & Agentic Design
Build intelligent AI agents from scratch with tool-calling, reflection patterns, and conversational memory for dynamic problem-solving.
LangChain & Advanced Agent Frameworks
Use LangChain to develop Text2SQL agents, integrate tools, and orchestrate complex workflows for enterprise-grade applications.
Multi-Agent Systems
Leverage LangGraph, CrewAI, and AutoGen to design collaborative multi-agent ecosystems that solve complex business challenges.
Production Deployment & LLMOps
Deploy AI solutions with REST APIs, cloud infrastructure, and monitoring while applying MLOps best practices for LLMs at scale.
Optimization & Scaling
Enhance production AI systems with performance tuning, cost optimization, debugging strategies, and troubleshooting workflows.
Fine-Tuning & Model Adaptation
Apply Parameter-Efficient Fine-Tuning (PEFT) to adapt models for specialized domains and create high-impact custom AI solutions.
Enterprise Integration & Portfolio
Implement advanced integration strategies across industries and graduate with a portfolio showcasing enterprise-ready AI projects.
Ethical & Responsible AI
Adopt responsible AI practices, bias detection, and audit-ready governance for building trustworthy and ethical AI applications.
