Free Domain Specialist Course (4Months)

Domain Specialist:

Brief Job Role Description: Individuals at this job are responsible for applying data analytics solutions at the cloud/edge level of IoT solutions. They are also responsible for developing business and functional outcomes and developing models for IoT solutions.

Personal Attributes: IoT – Domain Specialists must manage and collaborate with various stakeholders involved in the development of IoT solutions. They must lead team members and manage team performance to achieve project success and communicate and build relationships with others.

Design and execute IoT solutions for domain use cases:

Pilot/POC
To be competent, the user/individual on the job must be able to:
PC1. design and execute pilot/proof-of-concept for iot solution
PC2. evaluate costs, resource availability, access to iot expertise, access to iot tools, and agility while planning execution of pilot
Ease of Adoption
PC3. ensure ease of adoption for field deployment of iot solution
PC4. address barriers to adoption by providing targetted and consumable solutions
Metrics
PC5. establish Key Performance Indicators and relevant metrics to measure business and functional outcomes
PC6. continuously analyze kpis and relevant metrics to maximize business revenue and profitability
Story-telling
PC7. employ story-telling capabilities to emphasize on the need for the iot solution
PC8. communicate findings in a way that resonates with relevant stakeholders
UI/UX Design
PC9. deploy real-time UI/UX visualizations
Solution Scalability
PC10. provide inputs for scaling IoT solution
PC11. design web and mobile interfaces that are scalable
PC12. create plan for managing devices at scale before going into full production

Solution Roadmap
PC13. create roadmaps for IoT solution development
PC14. drive all stages of IoT solution development
PC15. ensure solution development is in line with the roadmap

Organizational
Context
The user/individual on the job needs to know and understand:
KA1. organizational policies, procedures and guidelines which relate to executing project pilots and developing solution roadmaps
KA2. organizational policies and procedures for sharing data
KA3. the range of standard templates and tools available and how to use them
Technical
Knowledge
The user/individual on the job needs to know and understand:
KB1. how to develop and execute proof-of-concepts
KB2. knowledge of the needs of the audience to structure visualizations effectively
KB3. how to develop solution roadmaps
KB4. knowledge of modelling techniques and analytical models
KB5. how to develop analytics driven solutions
KB6. knowledge of the capabilities required to operate visualization tools
KB7. how to develop real-time visualizations
Skills (S)

The user/individual on the job needs to know and understand how to:
Writing Skills
SA1. complete accurate well written work with attention to detail
Reading Skills
SA2. follow instructions, guidelines, procedures, rules and service level agreements
Listening and Speaking Skills
SA3. listen effectively and orally communicate information accurately
B. Professional Skills
Decision Making
SA4. follow rule-based decision making processes
SA5. make decisions on suitable courses
Plan and Organize
SA6. plan and organize your own work to achieve targets and deadlines

Problem Solving
SA7. apply problem-solving approaches in different situations
Analytical Thinking
SA8. analyze data and activities
SA9. configure data and disemminate relevant information to others
Critical Thinking
SA10. apply balanced judgments to different situations
Attention to Detail
SA11. apply good attention to detail
Team Working
SA12. work independently and collaboratively
SA13. work effectively in a team environment

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Design and develop models for IoT solutions:

Data Tagging
To be competent, the individual working on the job must be able to:
PC1. organize data with appropriate tags
PC2. design tags to be able to effectively cleanse and pre-process large sets of data
Model Development
PC3. apply semantic models to structure data and develop designs of subsequent data models
PC4. apply information models to determine the structure, lifecycle and accessibility requirements of data
PC5. apply predictive models to forecast future outcomes
PC6. apply appropriate physics models that best replicate real-world scenarios
Data Lifecycles PC7. develop guidelines for all stages of data lifecycle including acquisition, backup, maintenance, usage and destruction
Reusability Plan
PC8. create reusability plan and evaluate existing iot solution
PC9. enhance reusability of iot solutions and components
Knowledge and Understanding (K)
A. Organizational
Context (Knowledge of the company/ organization and its
The individual on the job needs to know and understand:
KA1. organizational policies, procedures and guidelines which relate to managing the entire data lifecycle
KA2. organizational policies and procedures for sharing data
KA3. the range of standard templates and tools available and how to use them

Technical
Knowledge
The individual on the job needs to know and understand:
KB1. how to organize data and other information with tags
KB2. the difference between various types of data. for example, qualitative vs quantitative data, processed vs unprocessed data, discrete vs continuous data
KB3. different methodological approaches for normalizing the dataset such as standard score, feature scaling, etc.
KB4. knowledge of how to apply models such as semantic models, information models, predictive models and physics models
KB5. creative understanding on how to derive and demonstrate insights from large datasets
KB6. different stages of the data lifecycle management process including data acquisition, backup, maintenance, usage and destruction
KB7. knowledge of the fundamentals, technologies and use cases of artificial intelligence, machine learning and deep learning
KB8. knowledge of the fundamentals, technologies and use cases of image and video analytics
Skills (S)
A. Core / Generic Skills
The user/individual on the job needs to know and understand how to:
Writing Skills
SA1. complete accurate well written work with attention to detail
Reading Skills
SA2. follow instructions, guidelines, procedures, rules and service level agreements
Listening and Speaking Skills
SA3. listen effectively and orally communicate information accurately
B. Professional Skills
Decision Making
SA4. follow rule-based decision making processes
SA5. make decisions on suitable courses
Plan and Organize
SA6. plan and organize your own work to achieve targets and deadlines
Problem Solving
SA7. apply problem-solving approaches in different situations

Analytical Thinking
SA8. analyze data and activities
SA9. configure data and disemminate relevant information to others
Critical Thinking
SA10. apply balanced judgments to different situations
Attention to Detail
SA11. apply good attention to detail
Team Working
SA12. work independently and collaboratively
SA13. work effectively in a team environment

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Identify opportunities for use case development for IoT solutions:

Problem Statement
To be competent, the individual working on the job must be able to:
PC1. evaluate requirements and create a well-defined problem statement
Asset Identification
PC2. identify assets required for development of IoT solutions
Value Engineering
PC3. build value engineering into project management processes
PC4. ensure that projects are robust and commercially sound
Process, data and monetization models
PC5. create process models to aid development of IoT use cases
PC6. identify core data modelling requirements to aid development of IoT use cases
PC7. develop monetization models for IoT use cases (e.g., Outcomes as a Service models)
Knowledge and Understanding (K)
A. Organizational
Context (Knowledge of the company/ organization and its processes)
The individual on the job needs to know and understand:
KA1. organizational policies and procedures for sharing data
KA2. the range of standard templates and tools available and how to use them
B. Technical
Knowledge
The individual on the job needs to know and understand:
KB1. how to develop use cases
KB2. how to create solution roadmaps

KB3. knowledge of the fundamental concepts of value engineering and how it supports effective solution development
KB4. how to assess and key attributes of a solution such as cost, value and function
KB5. different phases of value engineering and how to develop a value engineering job plan
KB6. the difference between various types of data. for example, qualitative vs quantitative data, processed vs unprocessed data, discrete vs continuous data
KB7. different methodological approaches for normalizing the dataset such as standard score, feature scaling, etc.
KB8. different data formats and structures
KB9. how to identify and refer anomalies in data
Skills (S)
A. Core / Generic Skills
The user/individual on the job needs to know and understand how to:
Writing Skills
SA1. complete accurate well written work with attention to detail
Reading Skills
SA2. follow instructions, guidelines, procedures, rules and service level agreements
Listening and Speaking Skills
SA3. listen effectively and orally communicate information accurately
B. Professional Skills
Decision Making
SA4. follow rule-based decision making processes
SA5. make decisions on suitable courses
Plan and Organize
SA6. plan and organize your own work to achieve targets and deadlines
Problem Solving
SA7. apply problem-solving approaches in different situations
Analytical Thinking
SA8. analyze data and activities
SA9. configure data and disemminate relevant information to others
Critical Thinking
SA10. apply balanced judgments to different situations

Attention to Detail
SA11. apply good attention to detail
Team Working
SA12. work independently and collaboratively
SA13. work effectively in a team environment

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Apply analytics solutions at the cloud/edge level of IoT solutions:

Domain-specific Analysis
To be competent, the individual working on the job must be able to:
PC1. evaluate data generated by IoT solution based on domain-specific knowledge
PC2. apply domain specific algorithms for analysis of data generated by iot solution
Solution Deployment
PC3. apply analytics solutions (including predictive analytics and streaming analytics) for a variety of iot use cases
PC4. deploy solutions to collect, process and analyse data at the cloud/edge
PC5. run containerized workloads at the cloud/edge level
Data Insights
PC6. derive insights from data generated by iot solution
PC7. present recommendations from data insights
Knowledge and Understanding (K)
A. Organizational
Context (Knowledge of the company/ organization and its processes)
The individual on the job needs to know and understand:
KA1. organizational policies, procedures and guidelines which relate to the collection, processing and analysis of data at the cloud/edge level
KA2. organizational policies and procedures for sharing data
KA3. the range of standard templates and tools available and how to use them
B. Technical
Knowledge
The individual on the job needs to know and understand:
KB1. different statistical analysis software, packages, libraries or tools with pre-designed algorithmic models
KB2. understanding of programming languages that can be used to design algorithmic models

KB3. different use cases and the suitability of various algorithmic models to address them
KB4. how to build and test a hypothesis
KB5. different cloud or distributed computing platforms, their affiliated services and how to use these
KB6. different use cases and the suitability of various algorithmic models to address them
KB7. different factors that contribute to risks. for example, outdated, irrelevant or biased input data, insufficient sample sizes, flawed design logic, coding errors etc.
KB8. different mitigation measures along areas such as data selection, algorithm design, live use in production etc.
KB9. knowledge of modelling techniques and analytical models
KB10. how to apply predictive and streaming analytics solutions
KB11. knowledge of the fundamentals, technologies and use cases of artificial intelligence, machine learning and deep learning
KB12. knowledge of the fundamentals, technologies and use cases of image and video analytics
Skills (S)
A. Core / Generic Skills
The user/individual on the job needs to know and understand how to:
Writing Skills
SA1. complete accurate well written work with attention to detail
Reading Skills
SA2. follow instructions, guidelines, procedures, rules and service level agreements
Listening and Speaking Skills
SA3. listen effectively and orally communicate information accurately
B. Professional Skills
Decision Making
SA4. follow rule-based decision making processes
SA5. make decisions on suitable courses
Plan and Organize
SA6. plan and organize your own work to achieve targets and deadlines
Problem Solving
SA7. apply problem-solving approaches in different situations

Analytical Thinking
SA8. analyze data and activities
SA9. configure data and disemminate relevant information to others
Critical Thinking
SA10. apply balanced judgments to different situations
Attention to Detail
SA11. apply good attention to detail
Team Working
SA12. work independently and collaboratively
SA13. work effectively in a team environment

Build and maintain relationships at the workplace:

Build relationships
To be competent, the individual working on the job must be able to:
PC1. build rapport with appropriate people at the workplace
PC2. develop new professional relationships
PC3. build alliances to establish mutually beneficial working arrangements
PC4. foster an environment where others feel respected
PC5. identify and engage a diverse range of influential contacts
Motivating the team
PC6. obtain guidance from appropriate people, where necessary
PC7. attentively listen to ideas and give constructive feedback
PC8. promptly resolve conflicts between team members
PC9. work with colleagues to deliver shared goals
PC10. recognize the contributions made by your colleagues

Organizational
Context
The individual on the job needs to know and understand:
KA1. organizational policies and procedures for building relationships and their role and responsibilities in relation to this
KA2. different training programs to enable the development of relevant behavioural competencies
B. Technical
Knowledge
The individual on the job needs to know and understand:

KB1. the importance of creating an environment of trust and mutual respect in the organisation
KB2. the importance of effective communication in developing productive working relationships with colleagues
KB3. different types of information that collegues might need and the importance of providing this information when it is required
Skills (S)
A. Core / Generic Skills
The user/individual on the job needs to know and understand how to:
Listening and Speaking Skills
SA1. ask for clarification and advice from line managers
Team Working
SA2. work effectively in a team environment

Empower the team:

Motivate team
To be competent, the user/individual on the job must be able to:
PC1. encourage teams to set goals aligned to the vision and objectives of the organization
PC2. express confidence on the team’s ability to accomplish certain tasks
PC3. encourage team members with diverse view points to express their concerns
PC4. recognise individual contributions and acknowledge team accomplishments
Support team
PC5. assist team members in delivery of their work
PC6. support team members in taking independent action
PC7. develop mechanisms to incorporate and develop ideas from the team

Organizational
Context
The user/individual on the job needs to know and understand:
KA1. organizational policies and procedures for empowering the team and their role and responsibilities in relation to this
B. Technical
Knowledge
The user/individual on the job needs to know and understand:
KB1. different types of information that team members might need and the importance of providing this information when it is required

KB2. the importance of understanding problems from your team’s perspective and how to provide support, where necessary, to resolve these
KB3. different mechanisms to incorporate and develop ideas put forward by the team
Skills (S)
A. Core / Generic Skills
The user/ individual on the job needs to know and understand how to:
Critical Thinking
SA1. balanced judgments to different situations
Team Working
SA2. work effectively in a team environment

Convince others to take appropriate action in different situations:

Define needs
To be competent, the user/individual on the job must be able to:
PC1. gather needs of concerned people
PC2. adapt arguments to consider diverse needs Persuade others
PC3. use small wins as milestones to gain support for ideas
PC4. persuade with the help of concrete examples or evidences
PC5. take defined steps to reach a consensus on the course of action
Knowledge and Understanding (K)
A. Organizational
Context (Knowledge of the company/ organization and its processes)
The user/individual on the job needs to know and understand:
KA1. organizational policies and procedures for persuading people and their role and responsibilities in relation to this
B. Technical
Knowledge
The user/individual on the job needs to know and understand:
KB1. different types of information that people might need and the importance of providing this information when it is required
KB2. different methods of communication and the circumstances in which it is appropriate to use these Skills (S)
A. Core / Generic Skills
Listening and Speaking Skills
The user/ individual on the job needs to know and understand how to:
SA1. ask for clarification and advice from appropriate people

SA2. listen effectively and orally communicate information accurately
Decision Making
The user/ individual on the job needs to know and understand how to:
SA3. make decisions on suitable courses
Critical Thinking
The user/ individual on the job needs to know and understand how to:
SA4. apply balanced judgments to different situations

Guidelines for Assessment

  1. Criteria for assessment for each Qualification Pack will be created by the Sector Skill Council. Each Performance Criteria (PC) will be assigned marks proportional to its importance in NOS. SSC will also lay down proportion of marks for Theory and Skills Practical for each PC.
  2. The assessment for the theory part will be based on knowledge bank of questions created by the SSC.
  3. Assessment will be conducted for all compulsory NOS, and where applicable, on the selected elective/option NOS/set of NOS.
  4. Individual assessment agencies will create unique question papers for theory part for each candidate at each examination/training center (as per assessment criteria below).
  5. Individual assessment agencies will create unique evaluations for skill practical for every student at each examination/training center based on this criterion.
  6. To pass a QP, a trainee should score an average of 70% across generic NOS’ and a minimum of 70% for each technical NOS
  7. In case of unsuccessful completion, the trainee may seek reassessment on the Qualification Pack.