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The integration of AI into the automotive industry helps enhance vehicle design, optimize manufacturing processes, and deliver superior driving experiences. AI-powered tools read and interpret engineering drawings, highlighting critical tolerances, and compliance issues. AI-powered design tools use algorithms to explore thousands of design iterations based on defined constraints. AI is transforming design in mechanical engineering through advanced computational techniques that enhance efficiency, accuracy, and innovation.
AI algorithms guide robotic arms for precise welding, painting, or assembling. These robots adjust in real time to changes in environment.
The certifications are grouped across the following sections:
A. DRONES/UAV
B. ROBOTICS
C. AI POWERED ENTERPRISE SYSTEMS
D. DIGITAL TRANSFORMATION FOR SMART APPLICATIONS
E. DIGITAL TWIN, DESIGN & DIGITAL FACTORY
F. STRATEGIC PLANNING
G. MANAGEMENT
The following sections give details of the competency modules along with the constituent micro-credit courses.
The career pathway in the AI integrated enterprise systems comprises of 2 competency modules. Many professionals are managing the enterprise systems but now with AI interventions, the traditional structure of ERP, QMS, CRM etc is changing. AI has automated many workflows and analytics.
This module offers an opportunity to working professionals to expand their KSA profile and move into AI domain. Students with ERP training can improve their employability through this module.
MES, AI & IOT INTEGRATION FOR SMART FACTORY
This competency module develops the ability to understand & configure AI platform for digitalising the factory and shop floor through MES. Mechanical/Automotive/Industrial engineers will be able to enter the fast moving AI integration domain and be able to take control of operation & control functions of the factory through an integrated AI platform.
CODE AM/MAE/AES/08 :
1. AI INTEGRATED SELF OPTIMISING SYSTEM FOR SMART ENTERPRISE
2. AI PLATFORM FOR WORKFLOW AUTOMATION IN SMART CITIES MANAGEMENT
3. AGENTIC AI, EDGE ANALYTICS & SENSORS MESH FOR OPTIMISING ENTERPRISE SYSTEMS
4. AGENTIC AI DRIVEN AUTOMATION OF ENTERPRISE PROCESSES
5. AGENTIC AI DRIVEN AUTOMATION FOR SMART FACTORY
6. HYPER AUTOMATION PLATFORM FOR ENTERPRISE PROCESSES
7. SENSORS & EDGE COMPUTING FOR SHOP FLOOR OPTIMISATION
8. IOT MESH, AI & ANALYTICS PLATFORM FOR DIGITAL FACTORY
This career pathway develops a deep understanding of the process of Digital Transformation for developing Smart applications in the AI integrated enterprise systems.
This competency module develops the ability to understand & configure AI platform for digitalising the enterprise and its sub-systems through use of sensors, IOT mesh, edge computing & analytics. Mechanical/Automotive/Industrial engineers will be able to enter the fast moving AI integration domain and be able to undertake digital transformation projects.
IOT & AI FRAMEWORK FOR SMART APPLICATIONS:
AM/MAE/AES/11 :
1. WORKFLOW AUTOMATION USING AI BOTS
2. MOBILE AUTONOMOUS ROBOTS FOR SMART MANUFACTURING
3. SENSORS & EDGE COMPUTING FOR SHOP FLOOR OPTIMISATION
4. IOT MESH, AI & ANALYTICS PLATFORM FOR DIGITAL FACTORY
5. AI PLATFORM FOR WORKFLOW AUTOMATION IN SMART CITIES MANAGEMENT
6. AGENTIC AI, EDGE ANALYTICS & SENSORS MESH FOR OPTIMISING ENTERPRISE SYSTEMS
7. AGENTIC AI DRIVEN AUTOMATION FOR SMART FACTORY
8. AI ALGORITHMS FOR PERFORMANCE MONITORING OF SHOP FLOOR
9. AI PLATFORM. FOR MANUFACTURING PROCESS OPTIMISATION
10. IOT & AI FOR SMART RETAIL
The career pathway in the rapidly expanding Industry 4.0 sector comprises of 3 competency modules. Each module enhances the KSA profile and makes the learner competent & confident to enter the Digital factory sector in middle/top management positions as per past experience. Fresh graduate engineers start their career at the middle management level with a very fast career progression.
Product design through digital engineering applications and developing a Digital twin are important constituents of this module which enable learners to take their KSA to global standards.
A. AI POWERED PRODUCT DESIGN PLATFORM:
This competency module develops the ability to understand the process of product design using AI platforms and generative design tools. Mechanical/Automotive/Industrial engineers will be able to enter the fast moving AI driven digital product design sector
AM/MAE/AED/10:
1. AI DRIVEN PRODUCT DESIGN OPTIMISATION
2. AI POWERED PROTOTYPE DEVELOPMENT & PRODUCT DESIGN PLATFORM
3. INTERACTIVE AI PLATFORM FOR 3D MODELING & PRODUCT DEVELOPMENT
4. AI PLATFORM TO DEVELOP MVP
B. FACTORY RESOURCES OPTIMIZATION USING AI & DIGITAL TWINS:
This module helps professionals to develop the capability in managing enterprise resources using AI and digital twins of various systems. This module is more suitable for professionals working in the industry to expand their KSA profile by adding resources optimisation skill using AI & digital twins. This is the next level of skill above digital transformation.
This module expands the KSA profile of professionals by adding the skill of developing AI agents to automate workflows. Fresh graduates can enter the industry 4.0 sector through this module. This module develops the ability to understand the composition of different AI software, edge analytics & AI agents configuration as per end use.
AM/MAE/AIA/13
1. SENSORS & EDGE COMPUTING FOR SHOP FLOOR OPTIMISATION
2. IOT MESH, AI & ANALYTICS PLATFORM FOR DIGITAL FACTORY
3. AI POWERED AUTOMATION TECHNOLOGIES FOR DIGITAL TRANSFORMATION
4. DIGITAL TWIN FOR SHOP OPERATIONS OPTIMISATION
5. DIGITAL TWIN FOR DIVERSE INDUSTRIES
6. AGENTIC AI DRIVEN AUTOMATION FOR SMART FACTORY
7. AI INTEGRATED DIGITAL SOLUTIONS FOR SMART FACTORY
Drones have multiple applications due to the design and equipments onboarded. Designing drones and robots for multiple uses particularly defence applications has huge potential. Professionals starting with design, move up to drone & robot technologists who integrate different hardware and develop a software platform for data analysis.
This competency module introduces the learners to the basics of a drone, its design principles, materials used, sensors & cameras used as per the application and lastly the mapping software.
Drone manufacturing is picking up pace and certified professionals are expected to enjoy fast growth and ample opportunities.
LEARNING PLAN
COMPETENCY MODULE: DESIGN & MANUFACTURING OF DRONES (AM/AID/DM/01)
NO OF LESSONS: 11; ESTIMATED HOURS 35: NO OF QUIZ: 11, PROJECT
This course is very useful for all Engineers and Management students/working professionals planning a career switch. It develops the foundation knowledge about drones.
After this certification, following certifications can be added to move to a fast career growth or a startup venture:
Suggested progressions:
A. Drone Services ( AM/AID/DEF/11)
This is a comprehensive module covering all aspects and areas where drones are used. After this certification, one can plan a startup offering various drone services or join a services company.
B. Surveying & Mapping (AM/AID/DEF/09)
This module helps develop the capability to manage drone based surveying & mapping, post which a career switch can be planned in Agriculture, Civil construction, Defence.
C. UAV Swarms Control (AM/AID/DEF/04)
This is an emerging career option as drone swarms find extensive use in defence, disaster relief, terrain mapping etc.
SCHEDULE OF STUDY
1. Go through each lesson and attempt a self-assessment quiz at the end of each lesson. Follow the sequence as below:
a. Introduction to drones
b. Parts of drones
c. Types of drones
d. Uses of drones
e. AI algorithms for drones
f. AI components for drones
g. Drone calculations for designing
h. Materials used in drones
i. Design principles of drones
j. Ground control stations
k. Drone technology components
2. PROJECT
3. VIDEOS
4. Additional learning: Go through suggested reference articles.
5. Appear for CERTIFICATION EXAM.
Drones are the new weapons and the differentiator of use are the electronics, software, AI algorithms and imaging/computer vision equipment loaded on it. Pairing the real-time machine learning technology of AI with the exploratory abilities of unmanned drones gives ground-level operators a human-like eye-in-the-sky. Military needs different combinations of these factors and thus this sector offers a vast scope for STEM professionals.
A. ALGORITHMS DESIGNER
An algorithms designer is a critical interface and provides the intelligence to drones through algorithms. A drone performs various tasks based on the process algorithms that are mapped into its system. Algorithms decide the flying path and enables cameras, sensors to operate and send data to the control center.
LEARNING PLAN
COMPETENCY MODULE: ALGORITHM DESIGNER (AM/AID/DEF/03)
NO OF LESSONS: 7; ESTIMATED HOURS 35: NO OF QUIZ: 9, PROJECT-2
This course is very useful for Computer Science Engineers and Management students/working professionals planning a career switch. It develops the application knowledge about algorithms designing which direct a drone towards specific outcomes. Ex for crop analysis, algorithms define the expected output.
After this certification, following certifications can be added to move to a fast career growth or a startup venture:
Suggested progressions:
A. Drone Services: ( AM/AID/DEF/11)
This is a comprehensive module covering all aspects and areas where drones are used. After this certification, one can plan a startup offering various drone services or join a services company.
B. Surveying & Mapping (AM/AID/DEF/09)
This module helps develop the capability to manage drone based surveying & mapping, post which a career switch can be planned in Agriculture, Civil construction, Defence.
C. AGRICULTURE (AM/AID/DEF/04)
This is an emerging career option as Imaging experts find extensive use in agriculture and if they have knowledge about crop mapping etc then the combination certification becomes a gateway to fast growth.
D. Software Analyst( AM/AID/DEF/05)
These two certifications develop total expertise to develop appropriate algorithms and analyse the efficiency of software used to map the drone operations.(a, b, c & g will be dropped for Software Analyst certified users)
SCHEDULE OF STUDY
1. Go through each lesson and attempt a self-assessment quiz at the end of each lesson. Follow the sequence as below:
a. Fleet management software
b. Mapping software
c. Safety systems: Anti-Collison algorithm
d. Drone swarm controls
e. Algorithms for Agriculture
f. AI enabled drone systems
g. AI algorithms for drones
2. PROJECT
3. VIDEOS
4. Additional learning: Go through suggested reference articles.
5. Appear for CERTIFICATION EXAM.
B. UAV SWARMS CONTROL
UAV's are deployed in multiples as a swarm of bees and require specific algorithms to avoid collisions, plan flight of each and allocate tasks. Numerous algorithms and mapping of control system is required to operate a drone swarm. The task of the UAV swarm manager is to map the flight plan, develop algorithms or understand which algorithms have been mapped so that the configuration of the control system can be optimised. This is a crucial profile as many sectors deploy swarms particularly defence, agriculture, smart city etc.
LEARNING PLAN
COMPETENCY MODULE: SWARMS CONTROL (AM/AID/DEF/04)
NO OF LESSONS: 8; ESTIMATED HOURS 40: NO OF QUIZ: 9, PROJECT-2
This course is very useful for E&E, Mechanical, Computer Science Engineers and Management students/working professionals. It develops the application knowledge about swarms and their control, safety systems and applications.
After this certification, following certifications can be added to move to a fast career growth or a startup venture:
Suggested progressions:
A. Drone Services: (AM/AID/DEF/11)
This is a comprehensive module covering all aspects and areas where drones are used. After this certification, one can plan a startup offering various drone services or join a services company.
B. Algorithms designer (AM/AID/DEF/03)
This module helps develop the capability to design algorithms, post which a career switch can be planned in Agriculture, Civil construction, Defence.
C. AGRICULTURE (AM/AID/DEF/04)
This is an emerging career option as Swarm control experts find extensive use in agriculture and if they have knowledge about crop mapping etc then the combination certification becomes a gateway to fast growth.
D. Software Analyst( AM/AID/DEF/05)
These two certifications develop total expertise to develop appropriate algorithms and analyse the efficiency of software used to map the drone operations.
SCHEDULE OF STUDY
1. Go through each lesson and attempt a self-assessment quiz at the end of each lesson. Follow the sequence as below:
a. Fleet management software
b. Flight planning software
c. Mapping software
d. Drone calculations
e. Safety systems: Anti-Collison algorithm
f. Drone swarm controls
g. Swarms management
h. AI enabled drone systems
2. PROJECT
3. VIDEOS
4. Additional learning: Go through suggested reference articles.
5. Appear for CERTIFICATION EXAM.
Roads, bridges, tunnels, power transmission poles and other structures are critical to our way of life, and they require constant maintenance.
Government bodies, insurers, engineers and construction firms are increasingly using drones to assist in the maintenance process. With the ability to safely and rapidly capture images, videos and 3D models of assets, drones can be used to identify defects that require attention.
Using drones to perform inspections makes the process quick, safe and affordable.
Other drone services include crop spraying, farm control, civil projects etc
As a career path, drone service providers can expect fast growth as this is a varied role that could see you inspecting public infrastructure in city centres, or navigating outback power transmission lines to check for signs of damage or provide farm services.
LEARNING PLAN
COMPETENCY MODULE: DRONE SERVICES (AM/AID/DEF/11)
NO OF LESSONS: 19; ESTIMATED HOURS 100: NO OF QUIZ: 23, PROJECT-5
This course is very useful for all Engineers and Management students/working professionals. It develops the application knowledge about using drones for different services.
This module covers all aspects of a drone from service point of view and the learners are able to develop a broad perspective about components, technology, applications & AI integration.
SCHEDULE OF STUDY
1. Go through each lesson and attempt a self-assessment quiz at the end of each lesson. Follow the sequence as below:
a. Uses of drones
b. Agricultural thermal drones
c. Hyper-spectral imaging
d. Drone for farm operations
e. Agriculture AI drones
f. Infrastructure & Inspection drones
g. Visual data models
h. Drones for farm operations
i. Thermal drone inspection
j. Ortho mosaics
k. Photogrammetry
l. LIDAR
m. Multi-sensor wildlife & disaster management
n. Swarm management & control
o. Smart city infrastructure & construction mapping
p. Flight planning & fleet management software
q. Sensors
r. Cameras
s. Applications of drone sensors & cameras
2. PROJECT
3. VIDEOS
4. Additional learning: Go through suggested reference articles.
5. Appear for CERTIFICATION EXAM.
When floods, fires, earthquakes and other disasters occur, first responders are often tasked with locating and helping those who have been affected. This can be especially challenging in dark, smoky or remote areas, but drones can be used to work around these issues through use of special cameras & sensors.
Equipped with state-of-the-art cameras and sensors, drones can locate survivors in all conditions, providing crucial information that rescuers can use to plan missions.
As an emergency response drone pilot, you will work in challenging conditions to support rescuers, plan missions, locate affected people, assess impassable terrain and more.
In addition to emergency response, drone sensors & cameras are used for diverse applications.
LEARNING PLAN
COMPETENCY MODULE: DRONE: SENSORS & CAMERAS (AM/AID/DEF/08)
NO OF LESSONS: 9; ESTIMATED HOURS 50: NO OF QUIZ: 10, PROJECT-2
This course is very useful for all engineering & management professionals who aspire to join the drone sector. It develops the application knowledge about using drones for different operations by choosing the right sensors & cameras.
Sensors & cameras are critical to drone operations and the type of use decides the best combination.
This module covers all aspects of drone sensors and cameras.
The suggested progression after getting certified in this module are:
A. Drone Services ( AM/AID/DEF/11)
This is a comprehensive module covering all aspects and areas where drones are used. After this certification, one can plan a startup offering various drone services or join a services company.
B. Surveying & Mapping (AM/AID/DEF/09)
This module helps develop the capability to manage drone based surveying & mapping, post which a career switch can be planned in Agriculture, Civil construction, Defence.
C. UAV Swarms Control (AM/AID/DEF/04)
This is an emerging career option as drone swarms find extensive use in defence, disaster relief, terrain mapping etc.
D. Imagery analyst: Fast growth and specialized skill career option having demand across all domains.
SCHEDULE OF STUDY
1. Go through each lesson and attempt a self-assessment quiz at the end of each lesson. Follow the sequence as below:
a. Visual data models
b. Mapping software
c. Drone sensors
d. Drone cameras
e. Application of drone sensors & cameras
f. Safety systems: Collison avoidance
g. Photogrammetry
h. Multi-sensor wildlife & disaster management
i. Ground control stations
2. PROJECT
3. VIDEOS
4. Additional learning: Go through suggested reference articles.
5. Appear for CERTIFICATION EXAM.
The career pathway in the fast emerging Robotics industry comprises of 3 competency modules. Each module enhances the KSA profile and makes the learner competent & confident to enter the Robotics sector in middle/top management positions as per past experience. Fresh graduate engineers start their career at the middle management level with a very fast career progression.
Robotics is physical as well as digital. For mechanical engineers, we shall cover physical robotics. Digital robotics is represented by AI agents to automate processes.
A. SOFTWARE PLATFORMS FOR ROBOT OPERATION & CONTROL:
AM/CSE/AIR/05
1. AI PLATFORM TO MANAGE INDUSTRIAL ROBOTS
2. AI POWERED SOFTWARE & ALGORITHMS FOR INDUSTRIAL ROBOTS
3. WORKFLOW AUTOMATION USING AI BOTS
4. MOBILE AUTONOMOUS ROBOTS FOR SMART MANUFACTURING
5. COBOT FLEET AUTOMATION
B. SOFTWARE PLATFORMS FOR ROBOT APPLICATIONS:
AM/CSE/AIR/06
1. ROBOTICS FOR CONSTRUCTION
2. ROBOTICS FOR FOOD INDUSTRY
3. ROBOTICS USING PICK N PLACE
4. SOLAR FARM ROBOTICS
5. INDUSTRIAL ROBOTICS
6. AUTONOMOUS ROBOTS FOR INDUSTRY INSPECTION, MAINT
7. UNDERWATER ROBOT FOR OIL RIGS & DEEP SEA
8. HUMAN-ROBOT INTERACTION CONTROL SYSTEM
9. ROBOTICS FOR WAREHOUSE: SWARM, 4D VISION
C. ROBOTIC AUTOMATION SOFTWARE USING AI & EDGE ANALYTICS:
AM/CSE/AIR/07
1. AI PLATFORM TO MANAGE INDUSTRIAL ROBOTS
2. WORKFLOW AUTOMATION USING AI BOTS
3. MOBILE AUTONOMOUS ROBOTS FOR SMART MANUFACTURING
4. COBOT FLEET AUTOMATION
5. ALGORITHMS FOR LOGISTICS ROBOTS
D. ROBOTICS AUTOMATION MANAGEMENT
AM/AIM/AIR/92.
1. SOFTWARE FOR OPERATIONS
2. COMPUTER VISION
3. ALGORITHMS FOR MANAGING ROBOTIC FLEET
4. ALGORITHMS FOR SWARM ROBOTICS
5. WORKFLOW AUTOMATION THROUGH RPA
6. AUTOMATION SOFTWARE THRU SELF LEARNING AI
7. MOBILE ROBOT USING LIDAR, SLAM
Manufacturing is getting digitised by integrating sensors & robots for monitoring performance and precision. Many repetitive and hazardous tasks are being accomplished by robots. AI integration further makes the robots decide the best action in certain situations.
SUGGESTED CERTIFICATIONS:
COMPETENCY MODULE:
AM/AIR/SM/01
1. AI PLATFORM TO MANAGE INDUSTRIAL ROBOTS
2. AI POWERED SOFTWARE & ALGORITHMS FOR INDUSTRIAL ROBOTS
3. WORKFLOW AUTOMATION USING AI BOTS
4. MOBILE AUTONOMOUS ROBOTS FOR SMART MANUFACTURING
5. COBOT FLEET AUTOMATION
e-commerce platform uses fleets of mobile robots to retrieve items from shelves. A Robotics Engineer designs path-planning algorithms, ensuring robots navigate efficiently and avoid collisions. The system reduces picking errors and shortens delivery times. Logistics start-up leverages deep reinforcement learning to teach robots & drones about pick and place packages to reduce last-mile delivery costs in congested urban areas.
SUGGESTED CERTIFICATIONS:
COMPETENCY MODULE:
AM/AIR/SM/02.
1. ROBOTICS FOR WAREHOUSE: SWARM, 4D VISION & PICK N PLACE
2. ALGORITHMS FOR LOGISTICS ROBOTS
Smart agriculture uses robots for picking ripe fruits, deweeding farms, harvesting, sowing and other tasks. AI helps in enabling faster decisions in real time. Automated harvesting drones, weeding robots, and real-time crop monitoring systems help farmers manage yields more efficiently, tackling labour shortages and sustainability targets.
SUGGESTED CERTIFICATIONS:
COMPETENCY MODULE:
AM/AIR/SM/ 04
1. ROBOTICS FOR SMART FARMS
2. FARM ROBOTICS: SWARM, 4D VISION, PICK N PLACE
This career pathway develops a broad understanding of the process of strategic planning. Engineers often come across situations requiring them to develop product development or launch strategy or run a campaign to assess customers feedback on product parameters to improve design. This module will develop the required skill in engineers without a management qualification.
A. STRATEGIC PLANNING FOR SMART CITY/CAMPUS:
AM/CVE/AIM/14
1. STRATEGY IMPLEMENTATION SYSTEM
2. AI STRATEGY PLATFORM FOR DYNAMIC IMPLEMENTATION
3. AI PLATFORM TO DEVELOP STRATEGY
B. MARKETING STRATEGY & ANALYSIS FOR INDUSTRIAL/SMART CITY AM/MAES/AIM/06
This module helps professionals to expand their KSA profile of managing techno-commercial applications and move up by developing the KSA for a framework of marketing strategy applications with an integrated AI platform.
This module will help engineers to develop a holistic understanding of digital technologies and their application in marketing strategy development automate various systems and workflows for AI driven analytics.
1. AI PLATFORM TO DEVELOP/OPTIMISE MARKETING STRATEGY
2. AI PLATFORM TO DEVELOP MARKETING STRATEGY: SOCIAL MEDIA
3. AI PLATFORM TO DEVELOP MARKETING STRATEGY: DIGITAL MARKETING
4. AI PLATFORM TO DEVELOP MARKETING STRATEGY: ECOM
5. NARRATIVE INTELLIGENCE & BRANDING RISK STRATEGY
Engineering Business Management
Progressive, technology-led companies are looking for people with both the practical engineering skills and the management skills to drive productivity and profitability. Designed for graduates who want to become managers or leaders of technology-based organisations
This career pathway develops a necessary skill in engineers about the basics of management principles and their application in industry. The Management competency module enhances the KSA profile by imparting knowledge about HR, Finance and Marketing. The micro-credit courses included in the module have AI integration. Each module enhances the KSA profile and makes the learner competent & confident to manage the enterprise in middle/top management positions as per past experience. Fresh graduate engineers start their career at the middle management level with a very fast career progression.
A. HR INTERVENTION FOR SMART CITY/INDUSTRY PROJECTS
AM/CSE/AIM/20
1. KEY AI & DIGITAL TECHNOLOGIES FOR TALENT ACQUISITION
2. HR PROCESS AUTOMATION USING AI AGENTS & RPA
3. AUTOMATION OF ENGAGEMENT & COMMUNICATION USING AGENTIC AI
4. INTEGRATION OF INTELLIGENT DIGITAL ASSISTANTS FOR WORKFLOW AUTOMATION
5. PLATFORM TO DEVELOP INTERACTIVE TRAINING PROGRAM
6. AI DRIVEN PERFORMANCE MANAGEMENT PLATFORM
B. FINANCIAL INTELLIGENCE & AUTOMATION FOR SMART CITY/INDUSTRY PROJECTS:
AM/CSE/AIM/21
1. FINANCIAL REPORTS ANALYSIS PLATFORM
2. USING AUTOMATION & ANALYTICS FOR PROCESS IMPROVEMENT
3. AI & ANALYTICS DRIVEN DIGITAL FINANCIAL SOLUTIONS PLATFORM
4. AI POWERED FINTECH PLATFORM FOR BUSINESS INTELLIGENCE
5. HYPER-PERSONALISED DIGITAL BANKING PLATFORM FOR PAYMENTS & TRADE FINANCE.
6. INTELLIGENT AUTOMATION PLATFORM FOR FINANCIAL INSTITUTIONS
7. FPA SOFTWARE USING AI & RPA
C. MARKETING INTERVENTIONS IN SMART CITY/INDUSTRIAL PROJECTS
AM/CSE/AIM/24
1. PREDICTIVE SALES PLATFORM FOR PRICE PREDICTION & CHURN ANALYTICS
2. AI DRIVEN HOLOGRAPHIC TECHNOLOGY FOR IMMERSIVE RETAIL
3. AI DRIVEN RETAIL OPTIMISATION PLATFORM
4. AI DRIVEN PERSONA BASED MARKETING PLATFORM
5. CONVERSATIONAL AI PLATFORM FOR PERSONALISED MARKETING
6. AI DRIVEN MARKETING AUTOMATION PLATFORM
7. AI PLATFORM FOR SELF-OPTIMISING CAMPAIGN DESIGN
8. INTERACTIVE MOBILE VIDEO ADVERTISING CREATION PLATFORM
9. USING AI AVATARS FOR BRANDING & CONTENT MARKETING
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