- Management approach focused on digital transformation
- Agile data: data 2.0
- Data democratization
- Democratisation of technology
- Agile data management
- Data-driven companies
- Agile approach and data: agile data
- Data and agile approach projects
- Agile data implementation
- Infrastructure for agile data
- Present and future: digitalization and agile approach
- Datification as a pillar of agile digital transformation
- Other applications of agile digitalization
- Agile digital transformation strategy
- Digital users want agile approach
- Soft skills for agile management - part 1
- Soft skills for agile management - part 2
- Soft skills for agile management - part 3
- Soft skills for agile management - part 4
- "Tips" summary of the agile approach
- The current context of innovation and change
- Dimensions, critical factors, and innovation models
- Challenges to achieve agile innovation management
- Current challenges for agile innovation management
- Creation and capture of value
- Innovation strategy
- Co-creation of value
- Agile approach to co-creation of value
- Streamlining and acceleration
- Corporate accelerators
- Detailing the design thinking approach
- Agile, lean, and design thinking for product development
- Fullfilling objectives
- How does Google do it?
- Stages of google design sprint
- Analysis of the agile process
- Failure modes
- Success modes
- Risk monitoring
- Agile contracts
- Service management in the digital transformation context
- Foundations of service management
- Dimensions of service management
- Information and technology; partners and suppliers
- Value chains, processes, and external factors
- Approach to agile service management
- Agile principles of service management (I)
- Agile principles for service management (II)
- Agile principles for service management (III)
- Agile principles for service management (IV)
- Service value
- Service value system
- Service value chain
- Activities of the service value chain
- Improvement
- Stakeholders involved in the delivery of services
- Agile management of technological services
- Service management practices (I)
- Service management practices (II)
- Service management practices (III)
- Data information knoledge wisdom
- Data management (i)
- Data management (ii)
- Corporate performance management
- Databases
- Business intelligence
- Datawarehousing
- Big data
- Hadoop
- Spark
- Hadoop ecosystem (I)
- Hadoop ecosystem (II)
- Hadoop ecosystem (III)
- Spark ecosystem
- Installation and configuration of big data architectures
- Analytics
- Main algorithms (I)
- Main algorithms (II)
- Machine learning and deep learning
- Internet of things
- Understanding of the basic fundamentals of DLT technologies
- Real market use cases: Bitcoin, the first blockchain solution
- Identification of the fundamentals of block generation in a blockchain environment
- Consensus algorithms
- Analysis of various types of wallets
- Use of other public blockchain solutions
- Use of other private blockchain solutions
- Forks
- Assessment of the fundamentals of digital identity
- Review of other digital identity initiatives
- Analysis and implementation of the different types of tokens currently in existence
- Types of tokens: security tokens, utility tokens, other types of tokens
- CeFi vs DeFi
- DAOS
- NFT tokens and their current status
- Identification of the fundamentals of the Hyperledger foundation
- Analysis of the fundamentals of Hyperledger fabric
- Polygon fundamentals
- Polygon for enterpises
- Avalanche


