Course Highlights
- Tech Stack Deep-dive: Move beyond the surface to understand AI Frameworks, NLP, and Computer Vision architecture
- Data Engineering Foundations: Explore the technical differences between Data Lakes vs Data Warehouses, master data preprocessing and mining techniques
- Cloud & Edge Computing: Understand specialised cloud environments and the growing role of Edge Computing in modern technical infrastructure
- Technical Threat Modeling: Go deeper into cybersecurity with an emphasis on technical safeguarding, user data control, and advanced threat detection
- Prompt Engineering Expertise: Master the technical parameters of prompt engineering to build more effective and specialised AI-driven solutions
- Frameworks for Excellence: Learn to apply the PDSA (Plan-Do-Study-Act) model and structured 5 Whys methods to solve complex engineering challenges
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Skill Type
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Course Duration
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Domain
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GOI Incentive applicable
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Course Category
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Nasscom Assessment
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Placement Assistance
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Certificate Earned
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Badge Earned
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Content Alignment Type
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NOS Details
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Mode of Delivery
Course Details
What will you learn in the DAF Technology Applications Course?
- AI Architecture & Development: Comprehend AI frameworks, Computer Vision, and Natural Language Processing (NLP)
- Data Science Essentials: Identify core techniques in data preprocessing, data mining, and the architecture of Data Lakes vs Data Warehouses
- Advanced Infrastructure: Evaluate different types of Cloud environments and apply safeguarding techniques for sensitive data
- Security & Privacy: Analyse cyber attacks, perform threat modeling, and understand user data control
- Operational Excellence: Implement the 5 Whys method, flowcharts, and mindmaps for creative technical problem-solving
Why should you take the DAF Technology Applications Course?
- Technical Deep-dive: Go beyond basic use cases to understand AI frameworks, developer tools, and data mining techniques
- Infrastructure Insights: Gain specialised knowledge in Cloud environments, Edge Computing, and technical threat modeling in cybersecurity
- Ethical Engineering: Learn to apply ethical AI design principles and navigate global regulations from a developer’s perspective
- Holistic Professionalism: Supplement technical expertise with essential collaboration, emotional intelligence, and negotiation skills
Who should take the DAF Technology Applications Course?
- STEM Students: Specifically designed for students in Science, Technology, Engineering, and Mathematics fields looking to deepen their technical literacy
- Aspiring Developers & Analysts: Individuals interested in AI frameworks, data preprocessing, and technical cloud environments
- Tech-forward Professionals: Those who want to understand the architecture behind Big Data, Edge Computing, and Cybersecurity
Curriculum
Module 1: Artificial Intelligence, Data & Responsible AI
- Artificial Intelligence Frameworks for Developers
- Popular Software Tools and Techniques for Artificial Intelligence
- Computer Vision
- Natural Language Processing (NLP)
- Prompt Engineering: Parameters and Use Cases
- ChatGPT for Excel
- Data Preprocessing
- Data Mining
- Responsible AI (RAI), Transparency, and Trustworthy AI
- Ethical AI Design Principles and Global AI Regulation
Module 2: Big Data, Cloud & Cybersecurity Foundations
- Popular Software Tools and Techniques in Big Data Analytics
- Data Lake vs Data Warehouse vs Data Mart
- Popular Software Tools and Techniques in Cloud Computing
- Types of Cloud Computing Environments
- Handling Sensitive Data on the Cloud
- Edge Computing
- Software Tools, Cyber Attacks, and Safeguarding Data
- Threat Modeling and User Data Control
Module 3: Innovation, Collaboration & Professional Effectiveness
- Importance and Benefits of Collaboration and Teamwork
- Emotional Intelligence
- Approaches and Techniques to Innovation & Design Thinking
- Plan-Do-Study-Act (PDSA) Model
- 5-Why Method, Flowchart, and Mindmap for Creative Problem Solving
- Utilizing Influencing & Negotiation to Enhance Individual Performance
Tools you will learn in the DAF Technology Applications Course
- AI Development Tools: Software tools for AI, Prompt Engineering (Parameters and Use Cases), and ChatGPT for Excel
- Data & Cloud Tools: Popular tools for Big Data Analytics and specialised software for Cloud Computing environments
- Security Tools: Tools used in Cybersecurity for safeguarding data and identifying vulnerabilities
- Management Frameworks: The Plan-Do-Study-Act (PDSA) model and Design Thinking techniques for technical innovation