DApps In Ethereum Blockchain Specialization
This programme is offered by TheSSML in collaboration with the Institute for Advanced AI and Machine Learning Specialization (IAAIMLS).
About the Programme
The DApps in Ethereum Blockchain Specialization is a transformative program designed to immerse learners in the rapidly growing world of decentralized applications (DApps) and blockchain technology. This program offers an in-depth exploration of the Ethereum blockchain, covering core topics such as smart contract development, tokenization, decentralized storage, and the use of advanced tools like Solidity and Truffle. With a hands-on, project-based approach, participants will gain practical experience in designing, deploying, and scaling DApps for real-world applications across diverse industries, including finance, supply chain, healthcare, and gaming. The program also emphasizes blockchain security, scalability, and innovation, ensuring that learners are well-prepared to tackle complex challenges in the blockchain ecosystem. By completing this specialization, participants will acquire the technical expertise and industry knowledge needed to excel in blockchain development and drive the adoption of decentralized solutions globally.
Key Skills Developed
Who is the programme for?
This specialization is designed for individuals who aspire to build expertise in blockchain development and decentralized applications (DApps) using Ethereum. It caters to software developers, blockchain enthusiasts, and tech professionals seeking to advance their careers in the rapidly growing blockchain domain. Entrepreneurs and innovators aiming to create blockchain-based solutions for real-world problems will find the program invaluable. Additionally, students and professionals interested in understanding Ethereum's ecosystem, smart contracts, and decentralized technologies are ideal candidates. Whether you're a beginner exploring blockchain or an experienced developer transitioning to decentralized systems, this program equips you with the skills and knowledge to excel in the blockchain industry.
How will you study?
The DApps in Ethereum Blockchain Specialization offers a flexible and immersive learning experience through a combination of live interactive sessions, self-paced online modules, and hands-on project work. You'll engage in live discussions with industry experts, gaining real-time insights and feedback. Self-paced modules allow you to learn at your convenience, covering foundational and advanced topics in blockchain and DApp development.
Practical learning is a key component of the program, with hands-on assignments and capstone projects that let you apply your knowledge by developing and deploying DApps on the Ethereum blockchain. Additionally, case studies and real-world scenarios are integrated to help you connect theoretical concepts with practical applications. This comprehensive approach ensures that you develop a strong understanding of blockchain technology while building a portfolio of projects to showcase your skills
Accreditation and Collaboration at TheSSML
The Standard School of Machine Learning (SSML) is committed to maintaining the highest academic and industry standards, supported by endorsements from globally recognized organizations such as the Machine Learning Accreditation Council (MACUL) and the All India Council for Technical Skill Development (AICTSD). These esteemed accreditations ensure that SSML’s initiatives align with international benchmarks, guaranteeing academic excellence and relevance in the rapidly evolving AI landscape.
In addition to these accreditations, SSML is proud to announce strategic collaborations with several distinguished academic and research institutions, as well as leading organizations across various industries. These partnerships enhance the institution's offerings, providing students with unparalleled access to cutting-edge AI research, development, and industry applications.
Key Collaborations Include:
- Ambaincip School of Business: Renowned for its focus on business innovation and entrepreneurship, Ambaincip contributes to developing AI-powered solutions to address real-world business challenges, helping students apply AI in practical business contexts.
- Narsamma School of Finance and Blockchain: This collaboration focuses on advancing AI applications within the financial sector, with a particular emphasis on blockchain, cryptocurrency, and decentralized finance (DeFi), empowering students to lead financial innovations through AI.
- Monappa School of Quantum Computing: Partnering in the realm of quantum algorithms and quantum machine learning, this collaboration offers students the opportunity to explore the intersection of quantum computing and AI, addressing complex issues that were previously unsolvable.
- Kamber School of Researchers: A research-driven institution at the forefront of pioneering AI research and development, Kamber School offers students the chance to engage in collaborative research projects with leading AI experts.
- BlackwellAi - LaB Innovation: A cutting-edge innovation lab dedicated to AI and machine learning technologies, BlackwellAi fosters the creation of AI solutions across various industries, advancing SSML’s commitment to solving global challenges with AI-driven innovations.
Impact of Collaborations:
This extensive network bridges the gap between academia, research, and industry, fostering a multidisciplinary approach to AI and machine learning development. With expertise in sectors such as finance, blockchain, quantum computing, and business innovation, SSML ensures its students receive a well-rounded education that integrates both theoretical knowledge and practical applications.
The collaborations also guarantee that SSML’s curriculum remains aligned with global standards and frameworks, including Artificial General Intelligence (AGI) and MACUL’s Machine Learning and Computational Learning guidelines, ensuring that students are equipped with the highest academic rigor while staying relevant to the dynamic global AI landscape.
Graduate Outcomes:
Graduates of SSML are equipped with both technical expertise and industry experience to drive innovative AI solutions. The institution’s emphasis on real-world applications and ethical considerations prepares students to make significant contributions to the rapidly evolving AI sector. With globally recognized credentials and world-class learning experiences, SSML graduates are prepared to lead AI innovations in various industries and create transformative impacts.
Location
Hybrid Mode
Duration
6 Months
Intakes
35
Tuition Fees
Rs 15000 /-
The DApps in Ethereum Blockchain Specialization is a comprehensive program designed to equip participants with the technical expertise and practical experience needed to excel in the rapidly growing field of blockchain technology. This specialization delves into the core concepts of blockchain, the Ethereum ecosystem, and decentralized application (DApp) development. Participants will gain hands-on experience in building smart contracts, deploying DApps, and exploring advanced topics like token standards, decentralized finance (DeFi), and scalability solutions.
Over the course of the program, learners will work on real-world projects and case studies, applying their skills to design and deploy secure, scalable, and user-friendly DApps. With a focus on innovation and problem-solving, the program prepares participants to drive blockchain transformations across industries such as finance, supply chain, healthcare, and beyond.
Programme Structure and Electives
The DApps in Ethereum Blockchain Specialization is structured into a series of progressive modules that provide a comprehensive understanding of blockchain technology and decentralized applications. The program begins with foundational modules covering blockchain principles, Ethereum architecture, and key components of smart contracts. Participants then delve into Solidity programming, focusing on writing, testing, and deploying smart contracts. Subsequent modules explore DApp development, emphasizing the integration of blockchain with front-end technologies using frameworks like Truffle and web3.js. Advanced topics, such as gas optimization, security best practices, and scalability solutions, are also included. The structure culminates with capstone projects, where learners apply their knowledge to build real-world DApps, ensuring hands-on experience and industry readiness.
Core Periods Modules
The DApps in Ethereum Blockchain Specialization is structured into a series of progressive modules that provide a comprehensive understanding of blockchain technology and decentralized applications. The program begins with foundational modules covering blockchain principles, Ethereum architecture, and key components of smart contracts. Participants then delve into Solidity programming, focusing on writing, testing, and deploying smart contracts. Subsequent modules explore DApp development, emphasizing the integration of blockchain with front-end technologies using frameworks like Truffle and web3.js. Advanced topics, such as gas optimization, security best practices, and scalability solutions, are also included. The structure culminates with capstone projects, where learners apply their knowledge to build real-world DApps, ensuring hands-on experience and industry readiness.
- Period 0
Introduction to Blockchain and Ethereum
This module introduces the fundamental concepts of blockchain technology and the Ethereum network. Learners will explore the structure of Ethereum, its consensus mechanism, and how decentralized networks function.
- Period 1
Solidity Programming for Smart Contracts
This module focuses on the Solidity programming language, the primary language for writing smart contracts on the Ethereum blockchain.
- Period 2
Building Decentralized Applications (DApps)
In this module, students will learn how to develop and deploy decentralized applications (DApps) on the Ethereum blockchain.
- Period 3
Blockchain Security and Best Practices
This module covers essential security practices in blockchain development. Learners will explore common vulnerabilities in smart contracts, such as reentrancy attacks and overflow vulnerabilities, and will learn how to secure DApps by implementing best practices for smart contract auditing and gas optimization.
- Period 4
Ethereum Gas and Optimization Techniques
Gas fees are a key feature of Ethereum transactions, and this module dives deep into the workings of gas in the Ethereum network.
- Period 5
Advanced Ethereum Development and Scaling Solutions
This advanced module explores solutions to scaling issues in Ethereum, including Layer 2 protocols and sharding. It also covers building decentralized finance (DeFi) applications, token standards (ERC-20, ERC-721), and how to integrate these solutions to improve the performance and scalability of decentralized applications.
Electives
The Generative AI Modeling with Vertex AI Studio Specialization program offers a comprehensive learning experience that spans three months, followed by a valuable 6-month internship. After successfully completing the program, participants will have the opportunity to apply their acquired skills and knowledge in a real-world setting through the internship.
- Profile Building++
- Decision Sciences
- Entrepreneurship & Family Enterprise
- Responsible AI and Ethical Considerations
- AI-Driven Customer Experience
- Emerging AI Technologies and Trends
- AI in Product Development
Your Future Career at TheSSML
Professionals will be equipped with the strategic and technical expertise required to lead AI initiatives across industries. As AI continues to play an increasingly pivotal role in business transformation, participants will be well-positioned for career opportunities in top technology companies, consulting firms, and multinational corporations that are integrating AI into their core operations.
Furthermore, TheSSML provides comprehensive career support, including personalized coaching, exclusive networking opportunities, and access to premium job openings within its global network. Professionals will also be eligible for opportunities with the Ambaincip School of Business, where they can apply their AI expertise to lead and innovate in high-growth, business-driven environments.
Secure Your Job at Ambaincip School of Business After Completing DApps In Ethereum Blockchain Specialization at TheSSML
Upon successful completion of the Android Development Using Machine Learning Specialization at TheSSML, you will unlock exclusive career opportunities in collaboration with the Ambaincip School of Business. This partnership provides a unique platform for professionals to integrate machine learning-powered features into Android applications and apply innovative strategies within a dynamic, technology-driven environment. Ambaincip School of Business is dedicated to equipping graduates with the skills and opportunities needed to lead in transformative app development, harness cutting-edge ML models, and drive impactful innovations. With the advanced expertise gained through this specialization, you will be ready to assume senior roles, oversee machine learning-centric Android projects, and contribute significantly to the success and growth of leading organizations in the tech ecosystem.
Secure Your Job at Ambaincip School of Business
TheSSML: Your Gateway to Innovation
At TheSSML, we cultivate a culture of curiosity, creativity, and collaboration, empowering individuals to solve complex real-world problems and contribute meaningfully to the advancement of technology. Whether you are a student, professional, or researcher, TheSSML is your gateway to mastering the skills and insights needed to lead in the rapidly evolving world of artificial intelligence and machine learning.
Fees & Admissions
Entry Requirements
Company Experience
- A minimum of 6 Month of experience at a company is required, particularly in roles where you have gained exposure to AI or technology-driven projects.
- Experience in driving strategic business initiatives, AI implementations, or related fields is highly valuable.
Academic Qualifications
- A strong honours degree or its equivalent from a recognised institution.
- A compelling personal statement that showcases
- A pronounced interest in business.
- Theambition to explore beyond the confines of their initial degree discipline.
- Anaptitude for working within a multidisciplinary environment
Tuition Fees
National Applicants: Rs 15000 /-
International Applicants: $ 175.72
We offer a range of savings and funding options. For a full breakdown of all our fees, visit our fees and funding page below.
Our Application Process at TheSSML
At TheSSML, we have simplified the application process to ensure a smooth and efficient entry into our academic community. Our clear, step-by-step application process is designed to help you prepare and submit your application with ease.
For those who might not meet the aforementioned academic criteria for the Executive Programme, consideration will be based on individual merit. Additionally, candidates who do not meet the set academic or language standards may still be eligible for entry upon successful completion of TheSSML Executive Premasters Award.
How to ApplyTop-Tier Education at TheSSML
Double Your Reach
Gain exclusive access to TheSSML's extensive alumni network, alongside global connections, enhancing your professional prospects and career opportunities.
Accredited and Recognized
TheSSML is dedicated to providing high-quality education with internationally recognized certifications, ensuring that you gain a competitive edge in the global job market.
Post-Study Career Opportunities
International students at TheSSML may benefit from career development programs and assistance in securing job placements or internships, offering valuable industry experience after graduation.
Global Partnerships
TheSSML collaborates with leading industry players, including tech giants and global corporations, to provide students with access to cutting-edge technologies, real-world learning experiences, and exciting career prospects.
Learn From the Very Best at TheSSML
At TheSSML, you will be taught by distinguished faculty members who are leaders in their fields. Our professors bring a wealth of experience from renowned global institutions and top-tier companies such as Amazon, the United Nations, IBM, Deloitte, Accenture, and Microsoft. Their extensive industry knowledge and academic expertise will provide you with the insights and practical skills needed to thrive in the dynamic world of machine learning and AI.
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TheSSML Partners with AICTSD And MACUL
At The Standard School of Machine Learning (TheSSML), our programmes are enhanced through prestigious accreditations and partnerships with leading organizations such as MACUL (Michigan Association for Computer Users in Learning) and AICTSD (All India Council for Technical Skill Development). These collaborations ensure our courses meet global industry standards and incorporate cutting-edge advancements in artificial intelligence and machine learning. The partnership with MACUL brings a rigorous framework for curriculum quality and academic excellence, while AICTSD fosters skill development and practical exposure through workshops, certifications, and real-world projects. By aligning with these esteemed bodies, TheSSML guarantees that students receive industry-recognized training, preparing them for leadership roles in a rapidly evolving AI landscape.
TheSSML Alumni Survey
At TheSSML, we are dedicated to equipping our students with the knowledge and skills needed to launch successful careers in the AI and machine learning industries. Our alumni are well-prepared to make a meaningful impact in the professional world, with many securing positions at leading global companies.
Alumni Survey (2022)
91%
of ourgraduates secured employment within six months of graduation
84%
of students received job offers before completing their programme
72%
of our alumni hold managerial or senior positions in prominent organisations
79%
of our graduates earn a competitive salary ranging from ₹8 lakhs to ₹12 lakhs per annum