1. Management approach focused on digital transformation
  2. Agile data: data 2.0
  3. Data democratization
  4. Democratization of technology
  5. Agile data management

  1. Data-driven companies
  2. Agile approach and data: agile data
  3. Data and agile approach projects
  4. Agile data implementation
  5. Infrastructure for agile data

  1. Present and future: digitalization and agile approach
  2. Datification as a pillar of agile digital transformation
  3. Other applications of agile digitalization
  4. Agile digital transformation strategy
  5. Digital users want agile approach

  1. Soft skills for agile management - part 1
  2. Soft skills for agile management - part 2
  3. Soft skills for agile management - part 3
  4. Soft skills for agile management - part 4
  5. "Tips" summary of the agile approach

  1. The current context of innovation and change
  2. Dimensions, critical factors, and innovation models
  3. Challenges to achieve agile innovation management
  4. Current challenges for agile innovation management
  5. Creation and capture of value

  1. Innovation strategy
  2. Co-creation of value
  3. Agile approach to co-creation of value
  4. Streamlining and acceleration
  5. Corporate accelerators

  1. Detailing the design thinking approach
  2. Agile, lean, and design thinking for product development
  3. Fullfilling objectives
  4. How does Google do it?
  5. Stages of google design sprint

  1. Analysis of the agile process
  2. Failure modes
  3. Success modes
  4. Risk monitoring
  5. Agile contracts

  1. Service management in the digital transformation context
  2. Foundations of service management
  3. Dimensions of service management
  4. Information and technology; partners and suppliers
  5. Value chains, processes, and external factors

  1. Approach to agile service management
  2. Agile principles of service management (I)
  3. Agile principles for service management (II)
  4. Agile principles for service management (III)
  5. Agile principles for service management (IV)

  1. Service value
  2. Service value system
  3. Service value chain
  4. Activities of the service value chain
  5. Improvement

  1. Stakeholders involved in the delivery of services
  2. Agile management of technological services
  3. Service management practices (I)
  4. Service management practices (II)
  5. Service management practices (III)

  1. Data information knoledge wisdom
  2. Data management (i)
  3. Data management (ii)
  4. Corporate performance management
  5. Databases

  1. Business intelligence
  2. Datawarehousing
  3. Big data
  4. Hadoop
  5. Spark

  1. Hadoop ecosystem (I)
  2. Hadoop ecosystem (II)
  3. Hadoop ecosystem (III)
  4. Spark ecosystem
  5. Installation and configuration of big data architectures

  1. Analytics
  2. Main algorithms (I)
  3. Main algorithms (II)
  4. Machine learning and deep learning
  5. Internet of things

  1. Understanding of the basic fundamentals of DLT technologies
  2. Real market use cases: Bitcoin, the first blockchain solution
  3. Identification of the fundamentals of block generation in a blockchain environment
  4. Consensus algorithms
  5. Analysis of various types of wallets

  1. Use of other public blockchain solutions
  2. Use of other private blockchain solutions
  3. Forks
  4. Assessment of the fundamentals of digital identity
  5. Review of other digital identity initiatives

  1. Analysis and implementation of the different types of tokens currently in existence
  2. Types of tokens: security tokens, utility tokens, other types of tokens
  3. CeFi vs DeFi
  4. DAOS
  5. NFT tokens and their current status

  1. Identification of the fundamentals of the Hyperledger foundation
  2. Analysis of the fundamentals of Hyperledger fabric
  3. Polygon fundamentals
  4. Polygon for enterpises
  5. Avalanche