AI-ML for Blockchain and Critical Thinking in Technology
The AI-ML for Blockchain and Critical Thinking in Technology program equips professionals with skills to integrate AI, machine learning, and blockchain technologies.
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Online
Mentor Based
Moderate
3 Days ( 1.5 Hours per day)
23-Apr-2025
3:00 PM IST
About
Integrating AI and machine learning with blockchain enhances data security, automates processes, and improves decision-making. This synergy fosters critical thinking in technology by encouraging innovative problem-solving and ethical considerations.
Aim
Integrating AI and machine learning with blockchain aims to enhance data security, automate processes, and improve decision-making. This synergy fosters critical thinking in technology by encouraging innovative problem-solving and ethical considerations.
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Workshop Objectives
- Enhance data security
- Automate decision-making
- Improve transparency
- Optimize efficiency
- Ensure data privacy
- Facilitate decentralized AI training
- Promote ethical AI use
- Foster interoperability
Workshop Structure
Day 1: Introduction to AI and Blockchain Session 1: AI Fundamentals and Blockchain Basics
- Blockchain Key concepts: Decentralization, Consensus Algorithms, immutability, cryptographic hashing
- AI Key Concepts: Machine Learning, neural networks, training, testing, and optimization of algorithms
Session 2: Blockchain in AI-Driven Systems
- Benefits of combining AI and Blockchain
- Use cases in data privacy, security, and transparency in AI applications
Day 2: Hands-on Blockchain and AI Applications Session 1: Building AI Models on Blockchain Networks
- Step-by-step demonstration: AI models can be used with blockchain to enhance data privacy.
- Tools: Pre-trained AI models in Python (e.g., scikit-learn or TensorFlow), combined with simple blockchain concepts like using SHA-256 to protect the data.
Session 2: Critical Thinking and Problem-Solving for AI and Blockchain Projects
- Techniques for analysing complex AI and Blockchain projects
- Critical thinking and problem-solving skills
Day 3: Future Trends in AI, Blockchain, and Critical Thinking Session 1: AI and Blockchain in the Future of Technology
- Emerging trends: AI-driven smart contracts, decentralized AI applications
- Future potential and challenges
Session 2: Role of Critical Thinking in AI and Blockchain Innovation
- How critical thinking impacts technological innovation and problem- solving
- Strategies for developing innovative AI-Blockchain solutions
Participant’s Eligibility
- Educational Background
- Technical Proficiency
- AI and Machine Learning Knowledge:
- Blockchain Familiarity
- Analytical Skills
- Professional ExperienceCommunication SkillsContinuous Learning Attitude
Workshop Outcomes
- Enhanced Data Security: Utilizing blockchain’s immutable ledger to ensure the integrity and confidentiality of data processed by AI models.
- Automated Decision-Making: Leveraging AI algorithms to analyze blockchain data, enabling automated and intelligent decision-making processes.
- Improved Transparency: Implementing transparent AI operations on blockchain to provide clear audit trails and foster trust among stakeholders.
- Optimized Efficiency: Combining AI’s predictive capabilities with blockchain’s decentralized framework to streamline operations and reduce redundancies.
- Ensured Data Privacy: Employing privacy-preserving AI techniques within blockchain networks to protect sensitive information while maintaining analytical capabilities.
- Facilitated Decentralized AI Training: Enabling collaborative AI model training across decentralized nodes, ensuring data ownership and privacy for contributors.
- Promoted Ethical AI Use: Establishing ethical guidelines and smart contracts to govern AI behavior within blockchain ecosystems, ensuring responsible technology deployment.
- Fostered Interoperability: Developing standards and protocols that allow seamless integration of AI and blockchain systems across various platforms and industries.
Mentor Profile
Name :Rajnish Tondon
Designation :Professional Trainer
Affiliation :Bodhi Nexus LLP
Mr. Rajnish Tandon has professional work experience of over 35 years in various domains and have worked in India, USA and Europe in the field of Sales Management, IT Operations, SAP Implementation, AI-ML etc. He is a guest faculty at Chandigarh University, NIFT Delhi, IIM Kashipur etc. and has taught AI-ML, Blockchain and Critical Thinking. He has recently done his M TECH in AI-ML from BITS, Pilani University in 2024. He has also done MBA from FMS (1996) and BE (Mech) from MNIT Jaipur (1985).
Fee Structure
Student
INR. 1699 | USD. 60
Ph.D. / Researcher
INR. 1999 | USD. 65
Academician
INR. 2199 | USD. 75
Industry Professional
INR. 2699 | USD. 95
Certificate
- Access to Live Lectures
- Access to Recorded Sessions
- e-Certificate
- Query Solving Post Workshop
Future Career Prospects
- AI/ML Engineer: Develop algorithms and models for intelligent systems.
- Blockchain Architect: Plan and structure blockchain solutions for enterprises.
- Data Scientist: Analyze complex datasets to extract actionable insights.
- AI Researcher: Advance the field of artificial intelligence through innovative studies.
- Blockchain Consultant: Advise organizations on blockchain integration and strategy.
- Smart Contract Auditor: Evaluate and ensure the security of smart contracts.
- AI Ethics Specialist: Address ethical considerations in AI development and deployment.
Job Opportunities
- Full Stack AI Developer
- Blockchain Engineer
- AI/ML Engineer
- Blockchain and AI Engineer
- AI DevRel Engineer
- Adjunct Instructor in Computer Science, Data Science & AI, and Cybersecurity
- AI Learning Specialist
- Researcher in AI and Blockchain
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