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AI Engineers: Core track
Cohere
Groq
Pinecone
Chroma
Streamlit
Neo4j
mem0
OpenAI
CrewAI
Artificial Analysis.webp&w=32&q=75){kind=small}
Eleven Labs-1.webp&w=32&q=75){kind=small}
Leonardo.Ai
Nebius
pika
AgentOps.webp&w=32&q=75){kind=small}
modal
Langchain
Introduction to Gen AI and Prompting
Programmatic LLMs
Build your own browser extension with AI
AI-Powered Email Assistant
Different types of AI Inference: Cloud & Local
Context Engineering: Beyond the LLM Window
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Introduction to RAG
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Production-Ready RAG with Pinecone
Airgapped Offline Retrieval Augmented Generation (RAG)
Building a Knowledge Graph Ingestion/Retrieval Pipelines using Ontologies and Fine-tuning
Contextual memory and personalization in AI systems with mem0
Building AI Agents
Building Multi-Agent Workflows with CrewAI
AI Model Evaluation & Selection
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Unleashing Creativity with Multimodal AI: Voice, Image & Video Integration
Mastering Voice AI: Create Natural, Dynamic Speech with ElevenLabs
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Build a Fairytale Children's Book with Leonardo AI
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Build your own AI Marketer using Nebius AI
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AI-Generated Video Creation: Bring Ideas to Life with Pika
Optimizing LLM Performance: Observability with AgentOps
AI Safety & Security: Defending Against Risks and Vulnerabilities
Deploy Your AI Projects with Modal
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Building Advanced Workflows: Prompt Chaining with LangChain
A project-based learning path to mastering AI engineering. Build production-ready AI systems using LLMs, RAG, AI agents, and observability tools. Work hands-on with CrewAI, Unsloth, Cohere, and Neo4j for knowledge graphs. Optimize workflows, enhance productivity, and earn certification to accelerate your AI career.
Cohere