Advanced Diploma Certification Programme in No Code AI and Machine Learning: Building Data Science Solutions
This programme is offered by TheSSML in collaboration with the Institute for AI and ML Education for Schools (IAMLES).
About the Programme
The Advanced Diploma Certification Programme in No-Code AI and Machine Learning: Building Data Science Solutions is a unique 1-year program designed to empower learners with the ability to create powerful AI and ML-driven applications without traditional programming. Tailored for professionals, business leaders, and aspiring data enthusiasts, this program bridges the gap between domain knowledge and technical expertise by using intuitive no-code platforms and tools.
Participants will gain hands-on experience in data preparation, model building, and AI deployment through accessible technologies like KNIME, RapidMiner, Google AutoML, and Microsoft Power Platform. The curriculum focuses on real-world applications across sectors such as marketing, finance, HR, healthcare, and operations—making it ideal for individuals who want to leverage data science for smarter business decisions without writing complex code.
By the end of the program, learners will be equipped to design, implement, and manage AI solutions independently, making them valuable assets in today's digital and data-driven economy.
Key Skills Developed
Who is the programme for?
The Advanced Diploma Certification Programme in No-Code AI and Machine Learning is designed for non-technical professionals, business managers, entrepreneurs, analysts, and students who want to harness the power of AI and data science without writing code. It is ideal for individuals from marketing, finance, HR, operations, and other business domains who are keen to make data-driven decisions and implement AI solutions using user-friendly, no-code tools. Whether you're looking to upskill, automate processes, or lead digital transformation in your organization, this program provides a practical and accessible pathway into the world of AI.
How will you study?
The Advanced Diploma in No-Code AI and Machine Learning follows a flexible, hands-on learning approach designed for working professionals and students alike. You will study through a blend of live interactive sessions, step-by-step video tutorials, self-paced modules, and real-world case studies. Using intuitive no-code platforms, you’ll build and deploy AI models through guided practice and collaborative projects. Industry mentors will provide feedback and support throughout the journey, while regular assessments and mini-projects help reinforce learning. The program also includes peer interaction, expert webinars, and a capstone project to showcase your skills in solving real business problems using no-code AI tools.
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
Distance Mode
Duration
1 Year
Intakes
40
Tuition Fees
Rs 25000/-
The Advanced Diploma Certification Programme in No-Code AI and Machine Learning: Building Data Science Solutions is a 1-year industry-aligned program that empowers learners to create, analyze, and deploy AI-powered solutions—without writing a single line of code. Designed for non-technical professionals, the program covers essential concepts of AI, machine learning, and data science using intuitive no-code tools like KNIME, RapidMiner, Google AutoML, and Microsoft Power Platform.
Through a hands-on and practical approach, participants will gain a strong understanding of the AI lifecycle—from data collection and preprocessing to model creation, evaluation, and deployment. The curriculum emphasizes solving real-world business problems, making it ideal for professionals across domains such as marketing, HR, finance, operations, and entrepreneurship. With expert mentorship, project-based learning, and internship opportunities, this program prepares you to confidently lead data-driven initiatives in any industry.
Programme Structure and Electives
The Advanced Diploma Certification Programme in No-Code AI and Machine Learning is a future-forward, 1-year professional course crafted to equip learners with the power of AI and data science—without the need for coding skills. Ideal for non-technical professionals, entrepreneurs, analysts, and decision-makers, this program focuses on solving real-world problems using visual, drag-and-drop platforms like KNIME, Google AutoML, RapidMiner, and Power BI. Learners explore the full AI lifecycle—from data preparation to model deployment—while building intelligent business solutions across domains such as marketing, finance, operations, and human resources. Delivered through expert-led live sessions, practical assignments, and a 6-month internship or project phase, this program bridges the gap between business needs and AI capabilities. Upon completion, participants will be empowered to lead digital transformation initiatives, automate workflows, and make data-driven decisions using accessible, no-code AI tools.
Core Periods Modules
The Advanced Diploma Certification Programme in No-Code AI and Machine Learning is a future-forward, 1-year professional course crafted to equip learners with the power of AI and data science—without the need for coding skills. Ideal for non-technical professionals, entrepreneurs, analysts, and decision-makers, this program focuses on solving real-world problems using visual, drag-and-drop platforms like KNIME, Google AutoML, RapidMiner, and Power BI. Learners explore the full AI lifecycle—from data preparation to model deployment—while building intelligent business solutions across domains such as marketing, finance, operations, and human resources. Delivered through expert-led live sessions, practical assignments, and a 6-month internship or project phase, this program bridges the gap between business needs and AI capabilities. Upon completion, participants will be empowered to lead digital transformation initiatives, automate workflows, and make data-driven decisions using accessible, no-code AI tools.
- Period 0
Introduction to No-Code AI and Machine Learning
– Overview of AI and Machine Learning Concepts – Key No-Code Platforms for AI (KNIME, RapidMiner, Google AutoML) – Data Science Workflow Without Coding – Exploring No-Code AI Tools: Setup and Features
- Period 1
Data Preparation and Preprocessing
– Understanding Data Types and Structures – Data Cleaning: Handling Missing Values, Duplicates, and Outliers – Feature Engineering: Creating Useful Features Without Coding – Data Transformation and Normalization Techniques
- Period 2
Building AI Models Using No-Code Tools
– Introduction to Predictive Modeling Without Code – Training Models with No-Code Platforms (Regression, Classification) – Evaluating Model Performance (Accuracy, Precision, Recall, F1-Score) – Fine-Tuning and Optimizing Models for Better Results
- Period 3
Real-World Applications of No-Code AI
– Implementing AI in Business Analytics – Predictive Maintenance and Customer Segmentation Using No-Code AI – Natural Language Processing for Text Analysis – AI for Image Recognition Using No-Code Tools
- Period 4
Deploying and Scaling AI Solutions
– Introduction to Model Deployment and Cloud Solutions – Integrating AI Models into Business Workflows – Creating AI Dashboards and Reports with No-Code Tools – Automating AI Solutions for Continuous Improvement
- Period 5
Industry Work Experience (6 Months), 2 Electives
The continuation of the work experience allows participants to deepen their expertise and apply their learning in more complex business scenarios. With additional electives, participants refine their understanding of AI’s role in strategy and leadership, preparing them for high-level decision-making roles.
Electives
To further tailor your learning, TheSSML offers the following electives as part of the Executive Strategic AI for Business Leaders Programme. These electives will help you specialize in areas that align with your professional interests and career aspirations.
- Profile Building++
- Decision Sciences
- Entrepreneurship & Family Enterprise
- Responsible AI and Ethical Considerations
- AI-Driven Customer Experience
- Emerging AI Technologies and Trends
Your Future Career at TheSSML
Graduating from the Advanced Diploma Certification Programme in No-Code AI and Machine Learning: Building Data Science Solutions at TheSSML opens up exciting career opportunities in the rapidly evolving field of AI and data science. Equipped with hands-on experience using cutting-edge no-code platforms, graduates are well-prepared to step into roles such as AI Solution Architect, Data Analyst, Machine Learning Specialist, Business Intelligence Consultant, and AI Product Manager. TheSSML’s strong industry connections, mentorship programs, and career support services ensure that learners can transition seamlessly into the workforce or advance their current careers. Whether you’re looking to join established tech companies, drive digital transformation within your organization, or launch your own data-driven startup, TheSSML provides the skills and support you need for a successful and fulfilling career in AI.
Secure Your Job at Ambaincip School of Business After Completing Advanced Diploma Certification Programme in No Code AI and Machine Learning: Building Data Science Solutions at TheSSML
Graduating from the Advanced Diploma Certification Programme in No-Code AI and Machine Learning at TheSSML provides you with the skills and expertise to secure a rewarding career at leading institutions such as Ambaincip School of Business. With a focus on AI-driven business solutions, data analysis, and machine learning, you'll be well-equipped to contribute to data-centric decision-making, digital transformation, and innovative projects in academia and beyond. The program’s strong emphasis on no-code tools allows you to implement AI models and insights without needing to write complex code, making you an invaluable asset in a variety of roles, from data analytics to AI project management. TheSSML’s industry connections, internship opportunities, and career support services help you secure high-impact roles and start your professional journey at top institutions like Ambaincip School of Business.
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
To be eligible for admission, candidates must meet the following criteria:
- Educational Qualification:
Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or related fields. Final-year students may also apply. - Technical Skills:
Basic understanding of programming (preferably Python) and mathematics (linear algebra, probability). - Professional Background (for working professionals):
Experience in software development, data analysis, or related areas is preferred but not mandatory. - Passion for AI/ML:
A strong interest in AI, problem-solving mindset, and willingness to learn and apply new technologies.
Tuition Fees
National Applicants: Rs 25000/-
International Applicants: $ 292.86
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