🚀 Intermediate AI Training

Build practical AI applications. Learn API integration, multi-agent systems, and advanced prompt engineering strategies.

⚡ What You'll Master

  • 🔗 API Integration

    Connect and integrate various AI APIs

  • 🤖 Multi-Agent Systems

    Design complex AI agent architectures

  • 🐍 Python Development

    Build AI applications with Python

  • 📚 RAG Systems

    Implement retrieval-augmented generation

  • 📊 Model Evaluation

    Assess and optimize AI model performance

  • 🎯 Context Engineering

    Advanced prompt and context strategies

1
Intermediate

Adaptive Reasoning Systems in AI

Learn to design and implement AI systems that can dynamically switch between different reasoning modes to optimize performance and adapt to varying computational demands.

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2
Intermediate

Adaptive Safety Routing

Design multi-model experience layers that detect sensitive contexts, route intelligently, and preserve user trust.

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3
Intermediate

Advanced AI Image Manipulation Techniques

Learn sophisticated techniques for AI-powered image editing, including low-level pixel manipulation and high-level semantic editing while maintaining visual consistency.

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4
Intermediate

Advanced AI Implementation

Design production-grade agentic systems that coordinate models, tools, and interfaces in 2025.

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5
Intermediate

Advancing Autonomous Coding Agents in IDEs

Autonomous coding agents automate multi-step development. When they integrate with IDEs and offer flexible pricing, they boost productivity for developers across skill levels.

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6
Intermediate

Age Prediction and Content Safety in AI

AI detects minors for stricter filters; defaults to safe when unsure.

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7
Intermediate

Agent Engineering Fundamentals

Learn to build, run, and manage agentic systems at the intersection of software, systems, and security engineering, covering frameworks, runtimes, and control planes.

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8
Intermediate

️ Agentic AI Architecture Principles: Building Stateless Multi-Agent Systems

Master the fundamental principles of designing robust agentic AI systems using two-tier architecture patterns, stateless subagents, and enterprise-grade orchestration strategies.

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9
Intermediate

Agentic UI Experiments

Prototype AI-managed desktop experiences that balance autonomy, safety overlays, and telemetry-driven iteration.

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10
Intermediate

️ AI Agent Security Fundamentals

Master security principles for AI agents including vulnerability assessment and secure deployment.

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11
Intermediate

AI Agents and Intelligent Task Automation

Explore the evolution from conversational AI to reliable autonomous agents capable of completing complex multi-step tasks in real-world environments.

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12
Intermediate

AI and Potential Psychosis

Understanding AI development concepts through real-world examples.

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13
Intermediate

AI API Design and Integration Patterns

Master the principles of designing robust AI APIs, implementing context management, and creating seamless integration experiences for developers and systems.

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14
Intermediate

AI API Integration Fundamentals

Integrate AI APIs with robust authentication, request shaping, and response handling for production workloads.

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15
Intermediate

AI Application Planning & Design

Master the fundamentals of planning and designing AI applications. Learn systematic approaches to AI product development using the 4D Method and modern application planning frameworks.

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16
Intermediate

AI Business Models and Sustainable Margins

Understand how AI applications create deep customer value and develop strategies for achieving healthy margins in AI-driven businesses.

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17
Intermediate

AI Data Legal Frameworks

Understanding legal battles, data rights, and regulatory frameworks shaping AI data usage

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18
Intermediate

Enterprise AI Deployment Strategies

Master comprehensive strategies for deploying AI at enterprise scale.

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19
Intermediate

AI Economics Evolution & Market Impact

Understand the economic transformation driven by AI technologies, market dynamics, job market impacts, and strategic business implications of AI adoption.

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20
Intermediate

AI Investment Landscape Insights

Analyze large-scale AI funding trends, capital allocation strategies, and what they signal for builders and enterprises.

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21
Intermediate

AI Model Evaluation Fundamentals

Master the fundamentals of AI model evaluation, understanding essential metrics, benchmarks, and context-aware system design principles for building reliable AI applications.

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22
Intermediate

AI Model Evaluation Techniques

Learn comprehensive methods for evaluating and benchmarking AI model performance

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23
Intermediate

AI Model Assessment Methodologies

Master comprehensive methodologies for evaluating AI model performance, reliability, and production readiness.

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24
Intermediate

AI-Powered Cyber Threats

Master the understanding of emerging cybersecurity threats that leverage artificial intelligence, including AI-generated malware, automated attack systems, and defensive countermeasures.

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25
Intermediate

AI Product Experimentation Strategies

Master advanced experimentation methodologies for AI products, from A/B testing frameworks to sophisticated user experience optimization in AI-driven applications.

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26
Intermediate

AI Product Localization Strategies

Master adapting AI products for global markets with pricing, cultural, and regulatory considerations.

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27
Intermediate

AI Product Strategy Fundamentals

Learn essential strategies for building successful AI products

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28
Intermediate

️ AI Research Intellectual Property Management

Master the complex landscape of intellectual property protection, trade secrets management, and legal frameworks governing AI research and development in competitive environments.

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29
Intermediate

AI Research Lab Personnel Dynamics

Understanding AI development concepts through real-world examples.

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30
Intermediate

AI Research and Report Generation Workflows

Design multi-modal AI workflows for automated research, synthesizing reports, webpages, and audio outputs from diverse sources using integrated models for coding, imaging, and TTS.

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31
Intermediate

AI Security Visibility: Managing Enterprise AI Tool Governance

Master the critical challenges of AI tool visibility in enterprise environments, covering detection methods, governance frameworks, security policies, and compliance strategies for AI implementations.

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32
Intermediate

AI Skills Development for Modern Professionals

Master the essential AI competencies reshaping today's job market, from technical foundations to strategic application across diverse professional roles and career advancement strategies.

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33
Intermediate

AI Training Without Backpropagation: Revolutionary Learning Methods

Explore cutting-edge alternatives to traditional backpropagation in neural network training, including forward-forward learning, evolutionary approaches, and biological-inspired methods.

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34
Intermediate

API Fundamentals & AI Service Connections

Master the basics of APIs and learn how to connect to major AI services including OpenAI, Anthropic, and Google. Build a solid foundation for AI application development.

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35
Intermediate

AI Service Architecture Principles

Master the architectural principles for designing scalable, resilient AI service systems.

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36
Intermediate

Building AI-Powered Applications

Create complete AI applications from planning to deployment. Learn to build user interfaces, integrate multiple AI services, implement agentic AI systems, and deploy AI apps for real users.

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37
Intermediate

Code Retrieval Methods Comparison

Understanding AI development concepts through real-world examples.

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38
Intermediate

Context Engineering for AI Agents

Master the delicate art and science of context management for AI agents - from context window optimization to memory management strategies.

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39
Intermediate

Context-Switching in AI Model Design

Learn how to design AI models with advanced context-switching capabilities that can adapt to different tasks and domains while maintaining performance and efficiency.

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40
Intermediate

Conversational AI System Design

Design natural conversational systems with session management, tool calling, guardrails, and user experience best practices.

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41
Intermediate

Designing Conversational Visual Search Experiences

Blend natural language interaction with dynamic visual discovery flows to create inclusive, trustworthy search experiences.

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42
Intermediate

Designing Omniscient AI Companions for Everyday Guidance

AI companions surpass humans in enjoyment via optimization; become daily advisors.

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43
Intermediate

Efficient OCR and Document Processing

Learn to implement efficient optical character recognition (OCR) and document processing pipelines using open-source vision-language models for high-precision text extraction and compression from complex documents.

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44
Intermediate

Enterprise Agent Rollouts

Launch conversational assistants in complex enterprises with staged pilots, rigorous guardrails, and measurable trust-building.

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45
Intermediate

Enterprise Knowledge Retrieval Systems

Implement secure, multi-source knowledge retrieval systems for enterprise AI, integrating tools like docs, emails, and trackers to provide context-aware answers with citations and privacy controls.

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46
Intermediate

Designing Go-To-Market Systems for Generative Video Platforms

Build a reusable launch and growth framework for consumer-facing generative video applications, from invite-only pilots to community-driven extensions.

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47
Intermediate

Global Infrastructure Strategy

Plan multi-region AI infrastructure expansion with diversified compute suppliers, regulatory foresight, and sustainability guardrails.

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48
Intermediate

Healthcare AI Integration: Building Secure Medical AI Systems

Learn to design AI systems for healthcare with HIPAA compliance and clinical workflow integration.

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49
Intermediate

Healthcare AI Strategy Development

Understanding AI development concepts through real-world examples.

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50
Intermediate

Multimodal Human Video Generation with HuMo

HuMo generates human videos from diverse inputs via progressive strategies, ensuring lip-sync and motion coherence.

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51
Intermediate

Hybrid QA Guardrails for AI-Generated Testing

Create disciplined workflows that blend AI-authored tests with human judgment, ensuring coverage gains never compromise product quality.

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52
Intermediate

Integrating Secure Payment Features into AI Interfaces

Conversational AI systems can enable seamless digital purchases. By integrating secure payments natively, teams enhance user experience while protecting sensitive data.

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53
Intermediate

Interactive Learning Systems

Master the creation of adaptive, AI-powered educational platforms that personalize learning experiences and optimize educational outcomes through intelligent content delivery and assessment.

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54
Intermediate

InternVL 3.5 Multimodal Model

Understanding AI development concepts through real-world examples.

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55
Intermediate

LLM Context Management Best Practices

Understanding AI development concepts through real-world examples.

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56
Intermediate

LM Studio & Local AI Models

Master running powerful AI models on your own computer. Learn to install, configure, and use local AI models without internet dependency.

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57
Intermediate

Managing Agent Memory with Sessions

Agents need memory to track context; sessions manage short-term state via trimming/compression.

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58
Intermediate

Memory-Enabled AI Assistants

Implement persistent memory layers for AI assistants using retrieval, vector stores, and user-controlled governance.

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59
Intermediate

Building Registries for Seamless AI Tool Integration

MCP standardizes tool access; registry enables easy discovery/install.

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60
Intermediate

Multi-Agent AI Systems Fundamentals

Master the fundamentals of multi-agent AI systems, collaborative problem-solving methodologies, and industry-standard performance benchmarking principles.

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61
Intermediate

Multi-Agent System Design Principles

Master the design and orchestration of multi-agent AI systems.

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62
Intermediate

Multi-Agent AI Systems & Collaborative Problem-Solving

Learn how to design, implement, and optimize multi-agent AI systems using collaborative problem-solving methodologies and industry-standard performance benchmarking principles.

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63
Intermediate

Multi-Model AI Systems & Collaborative Intelligence

Learn how to build AI systems that leverage multiple models working together, inspired by Sakana AI's TreeQuest breakthrough that achieved 30% performance improvements.

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64
Intermediate

Multimodal AI Systems

Understanding AI systems that process multiple types of data including text, images, audio, and video

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65
Intermediate

Open Source AI Model Development

Strategic approaches to developing, releasing, and maintaining open-weight AI models with proper licensing, safety testing, transparency, and community engagement

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66
Intermediate

Open-Source Data Extraction Tools

Harness open-source tools like AI Sheets to extract, transform, and enrich data from images and text in spreadsheets, using vision-language models for OCR, captioning, and image editing.

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67
Intermediate

Physical AI Data Engines

Construct data pipelines that fuel embodied agents with hybrid simulation, sensor capture, and high-quality labeling.

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68
Intermediate

Post-Training 101 for LLMs

Post-training refines pre-trained LLMs for tasks via SFT, alignment (RLHF), and evaluation.

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69
Intermediate

Proactive Assistant Design

Build assistants that anticipate user needs while preserving consent, steerability, and accountability.

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70
Intermediate

Procedural World Generation with AI

Learn to create dynamic, AI-driven systems that transform static images into interactive, procedurally generated game environments and virtual worlds.

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71
Intermediate

Programmatic Prompt Frameworks

Evaluate structured prompting toolkits that orchestrate reusable templates, constraints, and optimization loops for enterprise agents.

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72
Intermediate

Python for AI Fundamentals

Learn Python programming essentials for AI development. Build your first AI-powered applications with hands-on coding experience.

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73
Intermediate

RAG & Vector Database Systems

Master Retrieval-Augmented Generation (RAG) and vector databases to build intelligent search and knowledge systems with AI.

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74
Intermediate

Real-Time Video Generation Techniques

Explore autoregressive models and distillation methods for real-time video creation, enabling interactive editing, prompt changes, and long-form generation with low latency.

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75
Intermediate

Understanding Reasoning Models and API Design in AI Systems

Reasoning models are advanced AI systems designed to solve complex problems by simulating human-like thought processes.

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76
Intermediate

Semantic IDs for Recommender LLMs

Traditional recommender systems use random hash IDs for items, limiting interpretability. Semantic IDs embed meaningful representations directly into LLMs, enabling natural language queries and explanations.

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77
Intermediate

Semantic Image Manipulation with AI

Master advanced AI techniques for intelligent image editing that understands content context, enabling precise semantic-level modifications and transformations.

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78
Intermediate

Small Language Model Agent Development

Master the design and implementation of efficient AI agents using smaller language models, focusing on optimization techniques, resource management, and specialized deployment strategies.

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79
Intermediate

Solving ARC-AGI with Natural Language

ARC-AGI tests pattern recognition; NL prompting yields 79%+ scores cheaply.

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80
Intermediate

Understanding Multimodal AI Systems

Master the principles of multimodal AI that can process text, images, audio, and video simultaneously

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81
Intermediate

Vertical AI Integration Strategies

Understand industry-specific AI integration patterns and compliance-aware architectures, and learn how to design workflows, governance, and outcome-based deployments for enterprise value

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🎯 Ready for Advanced Training?

Take your AI expertise to the next level with enterprise-grade implementations

Explore Advanced Courses