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AI+ Data Agent Specialty™
's-Hertogenbosch
do 5 nov. 2026
Formerly known as AI+ Data Agent™
Empower businesses with AI + Data Agent Specialty™ to unlock insights, automate analytics, and drive smarter decisions.
* Empowering the Future with AI+ Data Agent Specialty™: Shaping Smarter Decision-Makers
* Beginner-Friendly Certification: Perfect entry point to understand data-driven AI concepts and automation tools
* Comprehensive Foundation: Explores AI data handling, analytics, and real-world business insights
* Open to All: Designed for learners with curiosity about using data and AI for smarter outcomes
Module 1: Introduction to AI Agents
* 1.1 What is an AI Agent?
* 1.2 Components of AI Agents
* 1.3 Types of AI Agents
* 1.4 Hands on: No-Code AI and Machine Learning Models for Data Agents Module 2: Data Agents and Their Role in AI Systems
* 2.1 AI Data Agents
* 2.2 AI vs. AI Data Agent
* 2.3 Components of AI Data Agents
* 2.4 Types of AI Data Agents
* 2.5 Existing AI Data Agents in Trend Module 3: Data Collection and Acquisition for AI Data Agents
* 3.1 Steps in AI Data Collection Structure & Plan
* 3.2 Methods of Data Collection Module 4: Data Pre-processing and Feature Engineering
* 4.1 Data Cleaning and Transformation
* 4.2 Feature Engineering for AI Models
* 4.3 No-Code AI Data Agent for Preprocessing & Feature Engineering Module 5: AI and Machine Learning Models for Data Agents
* 5.1 Introduction to Machine Learning Models for Data Agents
* 5.2 Model Selection and Training
* 5.3 Hands on: No-Code AI and Machine Learning Models for Data Agents Module 6: Ethics, Security, and Privacy in AI Data Agents
* 6.1 Ethical Considerations in AI Data Agents
* 6.2 Security and Privacy Concerns Module 7: Capstone Project
* 7.1 Problem Statement
* 7.2 Practical Implementation
* 7.3 Evaluation and Optimization
* 7.4 No-Code AI and Machine Learning Models for Data Agents Tools you will explore
* Python
* TensorFlow
* PyTorch
* Scikit-learn
* Keras
* LangChain
* Hugging Face Transformers
* Jupyter Notebooks
* Power BI
* Tableau
* Pandas
* NumPy
* SQL
* Apache Spark
* Airflow
* DataBricks
* RESTful APIs
* Matplotlib
* Data Visualization & Automation Tools
Online proctored exam included, with one free retake.
Exam format: 50 questions, 70% passing, 90 minutes, online proctored exam
Access to all materials and exams is provided for 365 days after delivery.
Instructor-led OR Self-paced course + Official exam + Digital badge
€895
Klassikaal
max 12
1 dag
AI+ Data Agent Specialty™ eLearning
Formerly known as AI+ Data Agent™
Empower businesses with AI + Data Agent Specialty™ to unlock insights, automate analytics, and drive smarter decisions.
* Empowering the Future with AI+ Data Agent Specialty™: Shaping Smarter Decision-Makers
* Beginner-Friendly Certification: Perfect entry point to understand data-driven AI concepts and automation tools
* Comprehensive Foundation: Explores AI data handling, analytics, and real-world business insights
* Open to All: Designed for learners with curiosity about using data and AI for smarter outcomes
Module 1: Introduction to AI Agents
* 1.1 What is an AI Agent?
* 1.2 Components of AI Agents
* 1.3 Types of AI Agents
* 1.4 Hands on: No-Code AI and Machine Learning Models for Data Agents Module 2: Data Agents and Their Role in AI Systems
* 2.1 AI Data Agents
* 2.2 AI vs. AI Data Agent
* 2.3 Components of AI Data Agents
* 2.4 Types of AI Data Agents
* 2.5 Existing AI Data Agents in Trend Module 3: Data Collection and Acquisition for AI Data Agents
* 3.1 Steps in AI Data Collection Structure & Plan
* 3.2 Methods of Data Collection Module 4: Data Pre-processing and Feature Engineering
* 4.1 Data Cleaning and Transformation
* 4.2 Feature Engineering for AI Models
* 4.3 No-Code AI Data Agent for Preprocessing & Feature Engineering Module 5: AI and Machine Learning Models for Data Agents
* 5.1 Introduction to Machine Learning Models for Data Agents
* 5.2 Model Selection and Training
* 5.3 Hands on: No-Code AI and Machine Learning Models for Data Agents Module 6: Ethics, Security, and Privacy in AI Data Agents
* 6.1 Ethical Considerations in AI Data Agents
* 6.2 Security and Privacy Concerns Module 7: Capstone Project
* 7.1 Problem Statement
* 7.2 Practical Implementation
* 7.3 Evaluation and Optimization
* 7.4 No-Code AI and Machine Learning Models for Data Agents Tools you will explore
* Python
* TensorFlow
* PyTorch
* Scikit-learn
* Keras
* LangChain
* Hugging Face Transformers
* Jupyter Notebooks
* Power BI
* Tableau
* Pandas
* NumPy
* SQL
* Apache Spark
* Airflow
* DataBricks
* RESTful APIs
* Matplotlib
* Data Visualization & Automation Tools
Online proctored exam included, with one free retake.
Exam format: 50 questions, 70% passing, 90 minutes, online proctored exam
Access to all materials and exams is provided for 365 days after delivery.
Instructor-led OR Self-paced course + Official exam + Digital badge
€200
E-Learning
max 999
1 dag
AI+ Network Practitioner™ eLearning
Formerly known as AI+ Network™
Validate Your Expertise in Networking: Harness AI for Automation, Security, and Next-Generation Efficiency
This certification validates professional knowledge and competency in the combination of artificial intelligence and current networking technologies. The exam assesses understanding of fundamental networking concepts, newer technologies such as SDN and NFV, and how AI can enhance network efficiency. Key focus areas include AI-powered network automation, orchestration, and security upgrades. The exam includes scenario-based questions covering emerging developments in AI-enhanced networking, validating candidate readiness for leadership roles in this rapidly evolving sector.
Module 1 Networking Foundations
* You will learn network types, topologies, networking components, protocols, IP addressing, VLANs, wireless standards, and essential network security concepts. Module 2 Advanced Networking Technologies
* You will explore VLANs, SDN, NFV, 5G, IoT, edge computing, advanced routing, data centers, and cloud networking technologies. Module 3 AI in Networking
* You will learn AI and ML applications in networking, including traffic analysis, network optimization, anomaly detection, automation, and predictive maintenance. Module 4 Network Automation and Orchestration
* You will explore automation tools, Python scripting, APIs, AI-driven orchestration, intent-based networking, Kubernetes, and zero trust architecture. Module 5 AI-Enhanced Network Security
* You will learn AI-based threat detection, incident response, secure network design, SIEM enhancement, predictive analytics, and AI security considerations. Module 6 Practical Labs and Hands-On Projects
* You will gain practical experience using simulation tools, AI-driven network automation, threat detection models, security implementation, and AI-enhanced network design projects. Module 7 Emerging Trends and Future Directions
* You will explore AI in 5G, quantum computing impacts, AI-powered IoT networks, blockchain security, and future career opportunities in AI networking. Tools you will explore
* Ansible
* Puppet
* Chef
* REST APIs
* NETCONF
* Kubernetes
* OpenStack
* GNS3
* Cisco Packet Tracer
* VMware
Online proctored exam included, with one free retake.
Exam format: 50 questions, 70% passing, 90 minutes, online proctored exam
Access to all materials and exams is provided for 365 days after delivery.
Instructor-led OR Self-paced course + Official exam + Digital badge
€510
E-Learning
max 999
5 dagen
AI+ Business Intelligence Practitioner™
Empower Your Career with AI+ Business Intelligence Practitioner™ for Advanced Data Solutions
* AI-Powered Business Intelligence: Leverage advanced tools to turn raw data into actionable insights
* Smarter Decision-Making: Make faster, data-driven decisions that align with business objectives
* Strategic Growth: Identify trends, opportunities, and risks to drive sustainable growth
* Data-Driven Innovation: Empower your strategy with predictive analytics and data-informed decisions
Module 1: Introduction to AI and BI Fundamentals
* 1.1 Overview of AI and BI Integration
* 1.2 Core Concepts in Business Intelligence
* 1.3 Data Analysis Process and AI’s Role
* 1.4 BI Trends and Challenges
* 1.5 Case Study
* 1.6. Hands on Activity Module 2: Python for AI-Driven Business Intelligence
* 2.1 Python Programming Fundamentals
* 2.2 Advanced Python Libraries for BI
* 2.3 Visualization with Python
* 2.4 Hands on Activity Module 3: Data Preparation and Feature Engineering with AI
* 3.1 Data Collection Techniques
* 3.2 Data Quality & Evaluation
* 3.3 Advanced Data Preparation
* 3.4 Hands on Activity Module 4: Machine Learning (ML) for Business Intelligence
* 4.1 ML Models for BI
* 4.2 Hands on Activity Module 5: Advanced AI and Generative AI for BI
* 5.1 Deep Learning and Neural Networks for BI
* 5.2 Generative AI for BI
* 5.3 Hands on Activity Module 6: Statistical Analysis with AI Tools
* 6.1 Statistical Analysis for BI
* 6.2 Time Series Analysis
* 6.3 Hands on Activity Module 7: AI-Powered Business Intelligence Tools
* 7.1 AI in BI Platforms
* 7.2 Power BI Essentials
* 7.3 Tableau Essentials
* 7.4 Hands on Activity Module 8: Prompt Engineering for AI-Driven BI
* 8.1 Introduction to Prompt Engineering
* 8.2 Crafting Effective Prompts
* 8.3 Hands on Activity Module 9: Communication Skills
* 9.1 Data Storytelling & Communication
* 9.2 Solution Presentation Module 10: Capstone Project
* 10.1 Capstone Project 1
* 10.2 Capstone Project 2
* 10.3 Capstone Project 3 Tools you will explore
* Scikit-learn
* TensorFlow
* ChatGPT
* Jupyter Notebooks
Online proctored exam included, with one free retake.
Exam format: 50 questions, 70% passing, 90 minutes, online proctored exam
Access to all materials and exams is provided for 365 days after delivery.
Instructor-led OR Self-paced course + Official exam + Digital badge
€3.450
Klassikaal
max 12
5 dagen
AI+ Business Intelligence Practitioner™ eLearning
Empower Your Career with AI+ Business Intelligence Practitioner™ for Advanced Data Solutions
* AI-Powered Business Intelligence: Leverage advanced tools to turn raw data into actionable insights
* Smarter Decision-Making: Make faster, data-driven decisions that align with business objectives
* Strategic Growth: Identify trends, opportunities, and risks to drive sustainable growth
* Data-Driven Innovation: Empower your strategy with predictive analytics and data-informed decisions
Module 1: Introduction to AI and BI Fundamentals
* 1.1 Overview of AI and BI Integration
* 1.2 Core Concepts in Business Intelligence
* 1.3 Data Analysis Process and AI’s Role
* 1.4 BI Trends and Challenges
* 1.5 Case Study
* 1.6. Hands on Activity Module 2: Python for AI-Driven Business Intelligence
* 2.1 Python Programming Fundamentals
* 2.2 Advanced Python Libraries for BI
* 2.3 Visualization with Python
* 2.4 Hands on Activity Module 3: Data Preparation and Feature Engineering with AI
* 3.1 Data Collection Techniques
* 3.2 Data Quality & Evaluation
* 3.3 Advanced Data Preparation
* 3.4 Hands on Activity Module 4: Machine Learning (ML) for Business Intelligence
* 4.1 ML Models for BI
* 4.2 Hands on Activity Module 5: Advanced AI and Generative AI for BI
* 5.1 Deep Learning and Neural Networks for BI
* 5.2 Generative AI for BI
* 5.3 Hands on Activity Module 6: Statistical Analysis with AI Tools
* 6.1 Statistical Analysis for BI
* 6.2 Time Series Analysis
* 6.3 Hands on Activity Module 7: AI-Powered Business Intelligence Tools
* 7.1 AI in BI Platforms
* 7.2 Power BI Essentials
* 7.3 Tableau Essentials
* 7.4 Hands on Activity Module 8: Prompt Engineering for AI-Driven BI
* 8.1 Introduction to Prompt Engineering
* 8.2 Crafting Effective Prompts
* 8.3 Hands on Activity Module 9: Communication Skills
* 9.1 Data Storytelling & Communication
* 9.2 Solution Presentation Module 10: Capstone Project
* 10.1 Capstone Project 1
* 10.2 Capstone Project 2
* 10.3 Capstone Project 3 Tools you will explore
* Scikit-learn
* TensorFlow
* ChatGPT
* Jupyter Notebooks
Online proctored exam included, with one free retake.
Exam format: 50 questions, 70% passing, 90 minutes, online proctored exam
Access to all materials and exams is provided for 365 days after delivery.
Instructor-led OR Self-paced course + Official exam + Digital badge
€510
E-Learning
max 999
5 dagen
AI+ Quality Assurance Practitioner™
Master AI-Driven Quality Assurance: Elevate Your Testing Efficiency, Accuracy, and Scalability
* AI Testing Mastery: Gain hands-on experience with AI-powered testing tools and techniques
* Intelligent Automation Edge: Streamline defect detection and performance testing using intelligent automation
* QA Career Fast-Track: Accelerate your QA career with our comprehensive, industry-aligned exam bundle
Module 1: Introduction to Quality Assurance (QA) and AI
* 1.1 Overview of QA
* 1.2 Introduction to AI in QA
* 1.3 QA Metrics and KPIs
* 1.4 Use of Data in QA Module 2: Fundamentals of AI, ML, and Deep Learning
* 2.1 AI Fundamentals
* 2.2 Machine Learning Basics
* 2.3 Deep Learning Overview
* 2.4 Introduction to Large Language Models (LLMs) Module 3: Test Automation with AI
* 3.1 Test Automation Basics
* 3.2 AI-Driven Test Case Generation
* 3.3 Tools for AI Test Automation
* 3.4 Integration into CI/CD Pipelines Module 4: AI for Defect Prediction and Prevention
* 4.1 Defect Prediction Techniques
* 4.2 Preventive QA Practices
* 4.3 AI for Risk-Based Testing
* 4.4 Case Study: Defect Reduction with AI Module 5: NLP for QA
* 5.1 Basics of NLP
* 5.2 NLP in QA
* 5.3 LLMs for QA
* 5.4 Case Study: Using NLP for Bug Triaging Module 6: AI for Performance Testing
* 6.1 Performance Testing Basics
* 6.2 AI in Performance Testing
* 6.3 Visualization of Performance Metrics
* 6.4 Case Study: AI in Performance Testing of a Cloud App Module 7: AI in Exploratory and Security Testing
* 7.1 Exploratory Testing with AI
* 7.2 AI in Security Testing
* 7.3 Case Study: Enhancing Security Testing with AI Module 8: Continuous Testing with AI
* 8.1 Continuous Testing Overview
* 8.2 AI for Regression Testing
* 8.3 Use-Case: Risk-Based Continuous Testing Module 9: Advanced QA Techniques with AI
* 9.1 AI for Predictive Analytics in QA
* 9.2 AI for Edge Cases
* 9.3 Future Trends in AI + QA Module 10: Capstone Project
Tools you will explore
* TensorFlow
* SHAP (SHapley Additive exPlanations)
* Amazon S3
* AWS SageMaker
Online proctored exam included, with one free retake.
Exam format: 50 questions, 70% passing, 90 minutes, online proctored exam
Access to all materials and exams is provided for 365 days after delivery.
Instructor-led OR Self-paced course + Official exam + Digital badge
€3.450
Klassikaal
max 12
5 dagen
AI+ Quality Assurance Practitioner™ eLearning
Master AI-Driven Quality Assurance: Elevate Your Testing Efficiency, Accuracy, and Scalability
* AI Testing Mastery: Gain hands-on experience with AI-powered testing tools and techniques
* Intelligent Automation Edge: Streamline defect detection and performance testing using intelligent automation
* QA Career Fast-Track: Accelerate your QA career with our comprehensive, industry-aligned exam bundle
Module 1: Introduction to Quality Assurance (QA) and AI
* 1.1 Overview of QA
* 1.2 Introduction to AI in QA
* 1.3 QA Metrics and KPIs
* 1.4 Use of Data in QA Module 2: Fundamentals of AI, ML, and Deep Learning
* 2.1 AI Fundamentals
* 2.2 Machine Learning Basics
* 2.3 Deep Learning Overview
* 2.4 Introduction to Large Language Models (LLMs) Module 3: Test Automation with AI
* 3.1 Test Automation Basics
* 3.2 AI-Driven Test Case Generation
* 3.3 Tools for AI Test Automation
* 3.4 Integration into CI/CD Pipelines Module 4: AI for Defect Prediction and Prevention
* 4.1 Defect Prediction Techniques
* 4.2 Preventive QA Practices
* 4.3 AI for Risk-Based Testing
* 4.4 Case Study: Defect Reduction with AI Module 5: NLP for QA
* 5.1 Basics of NLP
* 5.2 NLP in QA
* 5.3 LLMs for QA
* 5.4 Case Study: Using NLP for Bug Triaging Module 6: AI for Performance Testing
* 6.1 Performance Testing Basics
* 6.2 AI in Performance Testing
* 6.3 Visualization of Performance Metrics
* 6.4 Case Study: AI in Performance Testing of a Cloud App Module 7: AI in Exploratory and Security Testing
* 7.1 Exploratory Testing with AI
* 7.2 AI in Security Testing
* 7.3 Case Study: Enhancing Security Testing with AI Module 8: Continuous Testing with AI
* 8.1 Continuous Testing Overview
* 8.2 AI for Regression Testing
* 8.3 Use-Case: Risk-Based Continuous Testing Module 9: Advanced QA Techniques with AI
* 9.1 AI for Predictive Analytics in QA
* 9.2 AI for Edge Cases
* 9.3 Future Trends in AI + QA Module 10: Capstone Project
Tools you will explore
* TensorFlow
* SHAP (SHapley Additive exPlanations)
* Amazon S3
* AWS SageMaker
Online proctored exam included, with one free retake.
Exam format: 50 questions, 70% passing, 90 minutes, online proctored exam
Access to all materials and exams is provided for 365 days after delivery.
Instructor-led OR Self-paced course + Official exam + Digital badge
€510
E-Learning
max 999
5 dagen
Bitcoin+ Executive Fundamentals™
Formerly known as Bitcoin+ Executive™
Empowering Executives with Bitcoin Innovation
Comprehensive Overview: Learn blockchain mechanics, smart contracts, and DApps Strategic Insight: Gain understanding of emerging technologies and applications Leadership Prep: Perfect for executives needing a strategic blockchain foundation
Certification Overview
* Course Introduction Preview Module 1: Introduction to Blockchain and Cryptocurrency
* 1.1 Risks and Benefits
* 1.2 Databases – A Comparative Analysis
* 1.3 Delving into Bitcoin
* 1.4 Bitcoin Vs Blockchain Module 2: Understanding Bitcoin Blockchain Mechanics
* 2.1 Deep Dive into Components
* 2.2 Lifecycle of a Bitcoin Blockchain Transaction
* 2.3 Understanding P2P Networks
* 2.4 The Mystery of Consensus Protocols Module 3: Bitcoin Script Decentralized Apps
* 3.1 Bitcoin Scripting Basics
* 3.2 Script Types: P2PKH and P2SH
* 3.3 Script Operations
* 3.4 Multisig Transactions
* 3.5 Escrow Services
* 3.6 Time-Locked Contracts
* 3.7 Atomic Swaps
* 3.8 Payment Channels Module 4: Blockchain Frameworks
* 4.1 Ethereum and its Ecosystem
* 4.2 Introduction to Other Frameworks Module 5: Advanced Blockchain Concepts
* 5.1 Layer 2 Scaling Solutions
* 5.2 Privacy Enhancements
* 5.3 Smart Contracts on Bitcoin
* 5.4 Sidechains and Drivechains
* 5.5 Atomic Swaps
* 5.6 Schnorr Signatures and Taproot
* 5.7 Decentralized Autonomous Organizations (DAOs)
* 5.8 Tokenization and Asset Issuance
* 5.9 Cross-Chain Interoperability
* 5.10 Governance and Protocol Evolution Module 6: Cryptocurrencies: Trading, Regulations, and Compliance
* 6.1 The Financial Side of Cryptos
* 6.2 Dive into ICOs, DAOs, NFTs, and DeFi
* 6.3 Legal and Compliance Module 7: Bitcoin Real-world Applications
* 7.1 Lightning Network (Layer 2 Solution)
* 7.2 RSK (Rootstock)
* 7.3 Liquid Network (Sidechain Solution)
* 7.4 Atomic Swaps
* 7.5 Lnbits
* 7.6 Bottle Pay
* 7.7 Zap Wallet
* 7.8 Muun Wallet
* 7.9 Sphinx Chat
* 7.10 Tippin.me
* 7.11 SparkSwap
* 7.12 RGB (Colored Coins Protocol)
* 7.13 Bisq Module 8: Blockchain and Other Technologies
* 8.1 Bitcoin Blockchain Integrations with Emerging Tech
* 8.2 Internet of Things (IoT) Integration
* 8.3 Artificial Intelligence (AI) Integration
* 8.4 Edge Computing Integration
* 8.5 Quantum Computing Integration
* 8.6 Biometrics and Authentication Integration
* 8.7 Supply Chain and Logistics Integration
* 8.8 Decentralized Identity and Authentication Integration Tools you will explore
* Glassnode
* Blockchain Explorer
* CoinMarketCap
* Lnbits
Online proctored exam included, with one free retake.
Exam format: 50 questions, 70% passing, 90 minutes, online proctored exam
Access to all materials and exams is provided for 365 days after delivery.
Instructor-led OR Self-paced course + Official exam + Digital badge
€895
Klassikaal
max 12
1 dag
Bitcoin+ Executive Fundamentals™ eLearning
Formerly known as Bitcoin+ Executive™
Empowering Executives with Bitcoin Innovation
Comprehensive Overview: Learn blockchain mechanics, smart contracts, and DApps Strategic Insight: Gain understanding of emerging technologies and applications Leadership Prep: Perfect for executives needing a strategic blockchain foundation
Certification Overview
* Course Introduction Preview Module 1: Introduction to Blockchain and Cryptocurrency
* 1.1 Risks and Benefits
* 1.2 Databases – A Comparative Analysis
* 1.3 Delving into Bitcoin
* 1.4 Bitcoin Vs Blockchain Module 2: Understanding Bitcoin Blockchain Mechanics
* 2.1 Deep Dive into Components
* 2.2 Lifecycle of a Bitcoin Blockchain Transaction
* 2.3 Understanding P2P Networks
* 2.4 The Mystery of Consensus Protocols Module 3: Bitcoin Script Decentralized Apps
* 3.1 Bitcoin Scripting Basics
* 3.2 Script Types: P2PKH and P2SH
* 3.3 Script Operations
* 3.4 Multisig Transactions
* 3.5 Escrow Services
* 3.6 Time-Locked Contracts
* 3.7 Atomic Swaps
* 3.8 Payment Channels Module 4: Blockchain Frameworks
* 4.1 Ethereum and its Ecosystem
* 4.2 Introduction to Other Frameworks Module 5: Advanced Blockchain Concepts
* 5.1 Layer 2 Scaling Solutions
* 5.2 Privacy Enhancements
* 5.3 Smart Contracts on Bitcoin
* 5.4 Sidechains and Drivechains
* 5.5 Atomic Swaps
* 5.6 Schnorr Signatures and Taproot
* 5.7 Decentralized Autonomous Organizations (DAOs)
* 5.8 Tokenization and Asset Issuance
* 5.9 Cross-Chain Interoperability
* 5.10 Governance and Protocol Evolution Module 6: Cryptocurrencies: Trading, Regulations, and Compliance
* 6.1 The Financial Side of Cryptos
* 6.2 Dive into ICOs, DAOs, NFTs, and DeFi
* 6.3 Legal and Compliance Module 7: Bitcoin Real-world Applications
* 7.1 Lightning Network (Layer 2 Solution)
* 7.2 RSK (Rootstock)
* 7.3 Liquid Network (Sidechain Solution)
* 7.4 Atomic Swaps
* 7.5 Lnbits
* 7.6 Bottle Pay
* 7.7 Zap Wallet
* 7.8 Muun Wallet
* 7.9 Sphinx Chat
* 7.10 Tippin.me
* 7.11 SparkSwap
* 7.12 RGB (Colored Coins Protocol)
* 7.13 Bisq Module 8: Blockchain and Other Technologies
* 8.1 Bitcoin Blockchain Integrations with Emerging Tech
* 8.2 Internet of Things (IoT) Integration
* 8.3 Artificial Intelligence (AI) Integration
* 8.4 Edge Computing Integration
* 8.5 Quantum Computing Integration
* 8.6 Biometrics and Authentication Integration
* 8.7 Supply Chain and Logistics Integration
* 8.8 Decentralized Identity and Authentication Integration Tools you will explore
* Glassnode
* Blockchain Explorer
* CoinMarketCap
* Lnbits
Online proctored exam included, with one free retake.
Exam format: 50 questions, 70% passing, 90 minutes, online proctored exam
Access to all materials and exams is provided for 365 days after delivery.
Instructor-led OR Self-paced course + Official exam + Digital badge
€200
E-Learning
max 999
1 dag
Bitcoin+ Developer Practitioner™
Formerly known as Bitcoin+ Developer™
Navigate the depth of development with Bitcoin
Foundational Learning: Covers Bitcoin scripting, blockchain tech, and security practices Advanced Builds: Learn Layer 2 scaling, SDK/API integration, and real-world use cases Hands-On Projects: Complete practical work with a capstone project Future-Ready: Understand trends and secure coding in decentralized apps
Certification Overview
* Course Introduction Preview Module 1: Introduction to Bitcoin and Blockchain
* 1.1 Overview of Bitcoin Technology
* 1.2 Overview of Blockchain Technology Module 2: Bitcoin Scripting Languages
* 2.1 Fundamentals of Bitcoin Scripting Language
* 2.2 Components of Scripting Language Basics
* 2.3 Uses of Bitcoin Scripts
* 2.4 Execution Condition of Scripts
* 2.5 Security and Vulnerabilities in the Scripts Module 3: Building on Bitcoin Script
* 3.1 Standard Transactions
* 3.2 Trade and DeFi
* 3.3 Smart Contracts
* 3.4 Asset Definition Module 4: Layer 2 Scaling Solutions
* 4.1 Basics of Layer 2
* 4.2 Different Layer 2 Projects Module 5: Use Cases and Projects using Layer 2
* 5.1 Payments Use Cases
* 5.2 Assets and DeFi
* 5.3 Industry Use Cases
* 5.4 Integration with Other Tech – IoT Module 6: Security and Best Practices
* 6.1 For Scripting Apps
* 6.2 General Security Practices
* 6.3 Keys and Smart Contracts
* 6.4 Off the Chain
* 6.5 Layer 2 Module 7: Integration (SDK/APIs) and Deployment
* 7.1 Basic Overview of SDK & APIs
* 7.2 BitcoinJS
* 7.3 BitcoinJ
* 7.4 Bitcoinlib
* 7.5 Bitcoin RPC Client (Python)
* 7.6 Deployment Strategies Module 8: Future Trends and Innovations
* 8.1 Innovation in Bitcoin Applications
* 8.2 Innovation in Bitcoin Layer 2
* 8.3 Innovation in Asset Definition
* 8.4 Innovation in Bitcoin Interoperability
* 8.5 Innovation in Bitcoin Identity and Users
* 8.6 Innovation in Bitcoin Dev Tools Module 9: Capstone Project
* 1. Capstone Project Tools you will explore
* Bitcoin Core
* Electrum
* BitcoinJS
* Umbrel
Online proctored exam included, with one free retake.
Exam format: 50 questions, 70% passing, 90 minutes, online proctored exam
Access to all materials and exams is provided for 365 days after delivery.
Instructor-led OR Self-paced course + Official exam + Digital badge
€3.450
Klassikaal
max 12
4 dagen