Advanced Diploma Certifications Programme in AI Engineering & Data Intelligence
This programme is offered by TheSSML in collaboration with the Centre for AI & Data Intelligence Studies (CAIDIS)
About the Programme
The Advanced Diploma Certifications Programme in AI Engineering & Data Intelligence is a comprehensive, industry-aligned certification designed to equip learners with cutting-edge skills in Artificial Intelligence, Machine Learning, and Big Data Engineering.
This 1-year intensive diploma bridges the gap between theoretical understanding and practical implementation through hands-on training, real-world projects, and mentorship from industry experts. Learners will gain expertise in AI model development, neural network training, cloud-based deployment, and intelligent data pipelines.
The curriculum blends tools like Python, TensorFlow, Power BI, and advanced data engineering frameworks with real-time industry case studies. Whether you're an aspiring AI developer, data scientist, or technical analyst, this programme will fast-track your career into the AI-driven future.
Key Skills Developed
Who is the programme for?
The Advanced Diploma Certifications Programme in AI Engineering & Data Intelligence is designed for graduates, postgraduates, and working professionals who aspire to build a career in the rapidly evolving fields of artificial intelligence and data engineering. Ideal for individuals from backgrounds such as computer science, IT, engineering, mathematics, and statistics, the programme also caters to software developers, data analysts, and business intelligence professionals seeking to upskill or transition into AI-driven roles. Tech entrepreneurs, freelancers, and startup founders looking to integrate AI solutions into their products will find the curriculum particularly valuable. Additionally, researchers and academicians interested in applying AI to solve real-world problems will benefit from the hands-on, project-based approach of this comprehensive certification.
How will you study?
The Advanced Diploma Certifications Programme in AI Engineering & Data Intelligence is offered in a flexible blended learning format, combining both offline (on-campus) and online modes to ensure comprehensive skill development. In the online mode, participants will access self-paced video lectures, live virtual sessions, and interactive assessments through TheSSML’s Learning Management System. This mode allows learners to progress at their own pace while staying connected with expert instructors and peers. The offline mode includes in-person workshops, hands-on lab sessions at the CodeCrafters campus, industry-led seminars, and access to TheSSML’s AI Innovation Lab. This hybrid approach ensures that learners gain both the flexibility of digital learning and the practical, real-world experience of classroom-based instruction—culminating in a capstone project and strong industry placement support.
Accreditation and Collaboration at TheSSML
The Standard School of Machine Learning (SSML) upholds the highest academic and industry standards, validated by accreditations from prestigious bodies such as the Machine Learning Accreditation Council (MACUL) and the All India Council for Technical Skill Development (AICTSD). These endorsements ensure that SSML’s programs adhere to international benchmarks, delivering academic excellence and industry relevance in the rapidly evolving AI landscape. SSML’s commitment to quality is further strengthened through strategic collaborations with renowned academic institutions, research organizations, and industry leaders. Notably, its partnership with the Ambaincip School of Startups enhances its focus on business innovation and entrepreneurship, empowering students to develop AI-powered solutions for real-world challenges.
This robust network bridges academia, research, and industry, fostering a multidisciplinary learning environment that integrates emerging fields such as finance, blockchain, quantum computing, and business innovation. SSML’s curriculum aligns with global standards, including frameworks related to Artificial General Intelligence (AGI) and MACUL’s guidelines on Machine Learning and Computational Learning, ensuring graduates are equipped with both theoretical mastery and practical expertise. As a result, SSML graduates possess globally recognized credentials and are well-prepared to lead AI-driven transformations across diverse industries, delivering innovative solutions with a strong emphasis on ethical practices and real-world impact.
Location
Vadodara (Sanway Business Square Building)
Duration
12 Months
Intakes
40
Tuition Fees
Rs 60,000/-
The Advanced Diploma Certifications Programme in AI Engineering & Data Intelligence is a 12-month intensive certification offered by TheSSML at CodeCrafters, designed to prepare learners for high-demand careers in artificial intelligence, data engineering, and machine learning. The first 6 months focus on structured learning, covering a wide range of industry-relevant topics including Python for AI, data analysis with Power BI, machine learning fundamentals, deep learning with TensorFlow, neural networks, natural language processing (NLP), and cloud-based AI deployment. Each module is delivered through live lectures, self-paced content, hands-on labs, and real-world mini-projects.
The following 6 months are dedicated to a guided internship or industry project, during which learners apply their skills in practical environments. This phase includes continuous mentorship, professional grooming, and career development support such as resume building, mock interviews, and portfolio development. Participants also receive placement assistance through TheSSML’s industry network and CodeCrafters’ talent partnerships, helping them transition smoothly into roles such as AI Engineer, Data Analyst, Machine Learning Developer, or Data Engineer. This dual-phase structure ensures that graduates are not only well-trained but also career-ready.
Programme Structure and Electives
The Advanced Diploma Certifications Programme in AI Engineering & Data Intelligence is structured over 12 months, divided into two distinct but integrated phases: Learning Phase (6 months) and Internship & Placement Phase (6 months). The first six months focus on building a strong theoretical and practical foundation through structured coursework. Learners will cover key topics such as Python for AI, data visualization using Microsoft Power BI, machine learning algorithms, deep learning with TensorFlow, data engineering pipelines, natural language processing (NLP), and cloud-based AI deployment. This phase includes live instructor-led sessions, hands-on lab exercises, real-time assignments, and peer learning. The next six months are dedicated to an internship or industry-based project where learners apply their knowledge in real-world settings. During this phase, they receive continuous guidance from mentors and career coaches. In addition to technical exposure, this phase includes job readiness training such as mock interviews, resume building, and soft skills development, along with dedicated placement assistance through TheSSML and CodeCrafters' industry network. This structure ensures graduates leave the programme with job-ready skills and real-world experience.
Core Periods Modules
The Advanced Diploma Certifications Programme in AI Engineering & Data Intelligence is structured over 12 months, divided into two distinct but integrated phases: Learning Phase (6 months) and Internship & Placement Phase (6 months). The first six months focus on building a strong theoretical and practical foundation through structured coursework. Learners will cover key topics such as Python for AI, data visualization using Microsoft Power BI, machine learning algorithms, deep learning with TensorFlow, data engineering pipelines, natural language processing (NLP), and cloud-based AI deployment. This phase includes live instructor-led sessions, hands-on lab exercises, real-time assignments, and peer learning. The next six months are dedicated to an internship or industry-based project where learners apply their knowledge in real-world settings. During this phase, they receive continuous guidance from mentors and career coaches. In addition to technical exposure, this phase includes job readiness training such as mock interviews, resume building, and soft skills development, along with dedicated placement assistance through TheSSML and CodeCrafters' industry network. This structure ensures graduates leave the programme with job-ready skills and real-world experience.
- Period 0
Foundations of AI and Python Programming
Learn the basics of artificial intelligence, problem-solving with Python, data types, control structures, functions, and working with libraries like NumPy and Pandas.
- Period 1
Data Analytics & Visualization with Power BI
Explore data cleaning, transformation, DAX formulas, dashboards, and interactive reports using Microsoft Power BI for insightful business intelligence.
- Period 2
Machine Learning Algorithms and Applications
Understand supervised and unsupervised learning, regression, classification, clustering techniques, model evaluation metrics, and overfitting vs. underfitting.
- Period 3
Deep Learning with TensorFlow and Neural Networks
Dive into neural networks, backpropagation, activation functions, CNNs, RNNs, and build deep learning models using TensorFlow and Keras.
- Period 4
Data Engineering & Cloud Deployment
Learn about ETL pipelines, data warehousing, big data tools, and deploying AI models on cloud platforms like AWS, GCP, or Azure.
- Period 5
Natural Language Processing and AI Project Development
Study tokenization, text classification, sentiment analysis, transformers, and apply all concepts in a final capstone project with real-world AI use cases.
Electives
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
To help you tailor your learning experience, The Standard School of Machine Learning (TheSSML) offers a curated selection of electives as part of the Executive Strategic AI for Business Leaders Programme. These electives allow you to specialize in niche domains aligned with your professional goals and career aspirations.
TheSSML is committed to ensuring a strong career trajectory for its learners. The institution boasts an impressive 90% placement rate within six months of graduation, with 84% of students receiving job offers even before completing the programme. Graduates of flagship offerings, such as the Undergraduate Certification in Generative AI Engineering, are well-prepared for high-demand roles including Generative AI Engineer, Prompt Engineer, Machine Learning Engineer, AI/ML Research Scientist, and AI-Focused Data Scientist. TheSSML’s Career Advancement Centre provides end-to-end support—from resume building and interview preparation to personalized job search assistance. What sets the institution apart is its strong network of strategic partnerships with global tech leaders such as Google, Microsoft, Amazon, Tesla, and IBM, as well as leading financial institutions like J.P. Morgan and Goldman Sachs. These collaborations offer learners exclusive access to internships, live industry projects, and direct recruitment opportunities. Additionally, TheSSML’s partnership with the Ambaincip School of Business empowers learners to apply AI-driven solutions to real-world strategic and business challenges—bridging the gap between cutting-edge technology and executive decision-making.
Secure Your Job at Ambaincip School of Business After Completing Advanced Diploma Certifications Programme in AI Engineering & Data Intelligence at TheSSML
Enrolling in the Advanced Diploma Certifications Programme in AI Engineering & Data Intelligence at The Standard School of Machine Learning (TheSSML) opens the door to a dynamic and future-ready career path. Designed for aspiring AI engineers and data professionals, the programme offers a comprehensive curriculum grounded in real-world applications, cutting-edge tools, and industry best practices. To further personalize your journey, TheSSML offers a range of elective modules that allow you to specialize in areas aligned with your interests—whether that’s cloud deployment, deep learning, natural language processing, or real-time data systems.
TheSSML ensures a strong return on your educational investment, with a 90% placement rate within six months of graduation, and 84% of students receiving job offers before programme completion. Graduates are equipped to pursue high-impact roles such as AI Engineer, Machine Learning Developer, Data Engineer, Applied AI Analyst, and AI-Driven Automation Specialist.
Support from the Career Advancement Centre includes expert-led resume building, interview coaching, portfolio development, and targeted job search strategies. Moreover, TheSSML’s strong partnerships with global industry leaders like Google, Microsoft, Amazon, IBM, and Tesla, as well as financial giants such as Goldman Sachs and J.P. Morgan, provide exclusive access to internships, real-world projects, and direct recruitment channels. Collaboration with institutions like the Ambaincip School of Business ensures that graduates are not only technically skilled but also prepared to apply AI solutions within complex, strategic business contexts—bridging the gap between data intelligence and enterprise impact.
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 1 years 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 60,000/-
International Applicants: $720 USD
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