UG Certification in TensorFlow Developer
This programme is offered by TheSSML in collaboration with the Continuing Technology and Interprofessional Education (CTIPE).
About the Programme
The UG Certification in TensorFlow Developer is a comprehensive 24 Months Program designed for undergraduate students and early learners aiming to build a strong foundation in artificial intelligence and machine learning using TensorFlow. This program offers an engaging and application-focused learning experience, blending core concepts of machine learning with hands-on training in TensorFlow’s robust tools and libraries.
Students will dive into essential topics such as neural networks, data preprocessing, model development, and deployment, while also exploring advanced areas like computer vision, natural language processing, and time series forecasting. The curriculum emphasizes real-world applications through guided projects, interactive sessions, and a final capstone project, all led by experienced industry professionals.
With integrated internship opportunities and dedicated placement support, graduates of this program will be equipped with both the technical knowledge and practical skills needed to pursue careers in AI and machine learning. The limited batch size ensures personalized mentorship, making it an ideal launchpad for students aspiring to become future-ready AI developers.
Key Skills Developed
Who is the programme for?
This program is ideal for undergraduate students, recent graduates, and early-career professionals who are eager to build a strong foundation in artificial intelligence and machine learning. It is specifically designed for those who want to gain hands-on experience in developing and deploying AI models using TensorFlow, one of the most widely used deep learning frameworks in the industry. Whether you're pursuing a career in data science, AI development, or software engineering—or simply looking to future-proof your skill set—this program offers the practical training and mentorship needed to confidently step into the world of AI-driven technology.
How will you study?
The UG Certification in TensorFlow Developer is delivered through a blended learning model that combines structured instruction with interactive, hands-on experience. The program is divided into carefully designed modules, allowing you to progressively build your understanding of machine learning and TensorFlow tools. You’ll learn through a mix of:
- Live online classes led by industry experts for real-time interaction and doubt clearing
- Pre-recorded video lectures for flexible, self-paced learning
- Hands-on lab sessions and coding assignments to apply concepts in real-world scenarios
- Industry-relevant projects and a capstone assignment to showcase your skills
- Peer-to-peer learning and group discussions to enhance collaboration and problem-solving
- 1:1 mentorship and personalized feedback to guide your learning journey
- Internship opportunities for real-time industry exposure
- Placement support including resume building, mock interviews, and job assistance
With a limited batch size, you’ll receive personalized attention and mentorship to ensure you gain the skills and confidence needed to succeed in the AI industry.
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
24 Months
Intakes
January, April, June & September 2025
Tuition Fees
Rs 45,000 / -
The UG Certification in TensorFlow Developer is a 24 Months program designed to provide undergraduate students with a comprehensive understanding of artificial intelligence (AI) and machine learning (ML) using TensorFlow. This program combines foundational knowledge of machine learning principles with hands-on training in TensorFlow’s powerful tools and libraries.
Students will explore essential topics like neural networks, data preprocessing, and model deployment, along with advanced applications such as computer vision, natural language processing, and time series forecasting. Through interactive sessions, real-world projects, and a capstone assignment, participants will gain practical skills in building, training, and deploying AI models.
The program also includes internship opportunities for industry exposure and robust placement support, ensuring graduates are well-prepared for roles in AI development and machine learning. With a limited batch size of 45, personalized mentorship ensures focused learning and career success in the rapidly growing field of AI.
Programme Structure and Electives
The UG Certification in TensorFlow Developer is a comprehensive, hands-on learning program designed to provide undergraduate students with a solid foundation in TensorFlow for real-world AI applications. The program starts with an introduction to TensorFlow's core concepts, including tensors, data flow graphs, and its architecture, ensuring a strong grasp of the framework. Students will then progress to data preprocessing and input pipelines, followed by building various machine learning models such as linear regression, classification, and advanced deep learning architectures including CNNs, RNNs, and transformers. Emphasizing best practices, the curriculum covers model training, optimization, and deployment, including hyperparameter tuning, and using TensorFlow tools like TensorFlow Serving, TensorFlow Lite, and TensorFlow.js for model deployment. Advanced topics such as distributed training and custom model creation are also covered, preparing students with cutting-edge techniques. The program culminates in a capstone project, where learners apply their skills to solve practical problems, ensuring they are well-prepared for roles as TensorFlow developers in various professional settings.
Core Periods Modules
The UG Certification in TensorFlow Developer is a comprehensive, hands-on learning program designed to provide undergraduate students with a solid foundation in TensorFlow for real-world AI applications. The program starts with an introduction to TensorFlow's core concepts, including tensors, data flow graphs, and its architecture, ensuring a strong grasp of the framework. Students will then progress to data preprocessing and input pipelines, followed by building various machine learning models such as linear regression, classification, and advanced deep learning architectures including CNNs, RNNs, and transformers. Emphasizing best practices, the curriculum covers model training, optimization, and deployment, including hyperparameter tuning, and using TensorFlow tools like TensorFlow Serving, TensorFlow Lite, and TensorFlow.js for model deployment. Advanced topics such as distributed training and custom model creation are also covered, preparing students with cutting-edge techniques. The program culminates in a capstone project, where learners apply their skills to solve practical problems, ensuring they are well-prepared for roles as TensorFlow developers in various professional settings.
- Period 0
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
The Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning module provides a foundational understanding of TensorFlow’s capabilities and applications. Participants learn to build basic AI and machine learning models, exploring core concepts like tensors, data flow graphs, and neural network fundamentals.
- Period 1
Convolutional Neural Networks in TensorFlow
The Convolutional Neural Networks (CNNs) in TensorFlow module focuses on building, training, and deploying CNN models for image recognition and processing tasks.
- Period 2
Natural Language Processing in TensorFlow
The Natural Language Processing (NLP) in TensorFlow module teaches participants how to use TensorFlow for building models that understand and process text data.
- Period 3
Sequences, Time Series and Prediction
The Sequences, Time Series, and Prediction module focuses on using TensorFlow to model sequential data and time-dependent patterns. Participants will learn how to preprocess time series data, handle sequences, and implement forecasting models.
- Period 4
Recurrent Neural networks
The Recurrent Neural Networks (RNNs) module dives into the fundamental concepts of RNNs, a class of neural networks designed for processing sequential data.
- 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.
Electives
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
- 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
- Building AI Products
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 UG Certification in TensorFlow Developer at TheSSML
Upon successful completion of the TensorFlow Developer Professional Specialization at TheSSML, you will gain exclusive access to exciting career opportunities in collaboration with the Ambaincip School of Startups. This partnership offers professionals a unique platform to apply their TensorFlow expertise and deep learning knowledge to real-world challenges within a dynamic, innovation-driven environment. Ambaincip School of Business is committed to empowering graduates with the skills to lead AI-driven projects, optimize TensorFlow solutions, and drive meaningful advancements in the AI and machine learning industry. With the advanced knowledge and practical experience gained through this specialization, you will be well-prepared to take on senior roles, manage deep learning initiatives, and contribute to the success and evolution of forward-thinking organizations worldwide.
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 45,000 / -
International Applicants: $ 527.15
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