TensorFlow Developer Professional
The TensorFlow Developer Professional Program is a comprehensive course designed to equip individuals with the skills to build, train, and deploy machine learning models using TensorFlow, a leading open-source deep learning framework.
About the Programme
The TensorFlow Developer Professional Program is a specialized course tailored for individuals seeking to master the TensorFlow framework and build expertise in developing AI-driven solutions. This program offers an immersive learning experience, combining foundational knowledge of machine learning principles with hands-on training in TensorFlow's powerful tools and libraries. Participants will explore key topics such as deep learning, data preprocessing, and model training, along with advanced applications like computer vision, natural language processing, and time series analysis. The curriculum is designed to emphasize real-world implementation, enabling learners to design, optimize, and deploy scalable AI models across diverse domains. Guided by industry experts, the program includes interactive sessions, practical projects, and capstone assignments, ensuring participants gain comprehensive knowledge and practical skills. Upon successful completion, graduates will be well-prepared for roles in AI development and will receive a certification validating their proficiency in TensorFlow, positioning them as skilled professionals in the evolving AI landscape.
Key Skills Developed
Who is the programme for?
The TensorFlow Developer Professional Program is designed for aspiring and experienced machine learning enthusiasts, software developers, data scientists, and AI practitioners eager to deepen their expertise in TensorFlow and advanced AI development. It is ideal for professionals looking to enhance their careers by building scalable machine learning models and deploying them effectively in real-world applications. Whether you are transitioning into AI-focused roles, seeking to refine your skills in deep learning, or aiming to create cutting-edge solutions in computer vision, NLP, or time-series analysis, this program provides the tools and knowledge to excel. It’s also tailored for students and professionals who want to stay ahead in the rapidly evolving AI landscape by mastering TensorFlow, one of the most widely used frameworks in the industry.
How will you study?
The TensorFlow Developer Professional Program offers a blended learning experience that combines flexibility with practical rigor. You will study through a mix of self-paced online modules, live interactive sessions, and real-world projects designed to build and apply your skills incrementally. The self-paced modules provide a comprehensive foundation in TensorFlow, allowing you to learn at your convenience while mastering core concepts and techniques.
Live sessions with expert instructors enable you to engage in discussions, clarify doubts, and collaborate with peers. The program emphasizes project-based learning, where you will work on capstone projects that simulate real-world challenges, such as building and deploying machine learning models for computer vision, NLP, and time-series data.
To ensure holistic learning, you will also gain access to hands-on exercises, assessments, and guided labs, helping you integrate theoretical knowledge with practical application. This structured yet flexible approach ensures you are well-prepared to use TensorFlow in professional environments effectively.
Accreditation and Collaboration at TheSSML
The Standard School of Machine Learning is proud to announce its accreditation and strategic collaborations with prestigious institutions and organizations, including the Ambaincip School of Business, Narsamma School of Finance and Blockchain, Monappa School of Quantum Computing, Kamber School of Researchers, and BlackwellAi - LaB Innovation.
This partnership network signifies a unified effort to advance the frontiers of knowledge in machine learning, artificial general intelligence (AGI), and multidisciplinary research. By leveraging expertise across finance, blockchain, quantum computing, and AI-driven innovation, the collaboration aims to foster cutting-edge developments and impactful applications. Additionally, the program aligns with global standards such as AGI and MACUL, ensuring academic excellence and real-world relevance.
Location
Hybrid Mode
Duration
6 Month Learning + 6 Month Experience Letter + Job Offer Letter
Intakes
25 (Jan, May, Nov)
Tuition Fees
Rs 1,35,500 / -
The TensorFlow Developer Professional Program is a comprehensive learning journey designed to equip participants with the skills and expertise to leverage TensorFlow for building, deploying, and optimizing machine learning models. This program offers a deep dive into the fundamentals of TensorFlow, covering its extensive applications in areas like computer vision, natural language processing, and time-series forecasting.
Participants will explore the architecture of TensorFlow, learn to construct custom models, and harness its powerful tools for training, evaluating, and deploying models at scale. Through a combination of theoretical instruction and hands-on projects, learners will gain proficiency in using TensorFlow for tasks ranging from data preprocessing and feature engineering to model optimization and deployment on cloud platforms.
Programme Structure and Electives
The TensorFlow Developer Professional Program is a comprehensive learning journey designed to equip participants with the skills to master TensorFlow for real-world applications. The program begins with an introduction to TensorFlow’s architecture, workflows, and fundamental concepts like tensors and data flow graphs. Participants will then delve into data preparation and input pipelines, followed by building machine learning models, including linear regression, classification, and deep learning architectures like CNNs, RNNs, and transformers. The curriculum emphasizes model training, optimization, and deployment, covering best practices for evaluation, hyperparameter tuning, and serving models using TensorFlow Serving, TensorFlow Lite, and TensorFlow.js. Advanced topics such as distributed training and custom model building are also explored, ensuring participants are well-versed in cutting-edge techniques. The program concludes with a capstone project where learners apply their knowledge to solve real-world problems, preparing them to excel as TensorFlow developers in diverse professional environments.
Core Periods Modules
The TensorFlow Developer Professional Program is a comprehensive learning journey designed to equip participants with the skills to master TensorFlow for real-world applications. The program begins with an introduction to TensorFlow’s architecture, workflows, and fundamental concepts like tensors and data flow graphs. Participants will then delve into data preparation and input pipelines, followed by building machine learning models, including linear regression, classification, and deep learning architectures like CNNs, RNNs, and transformers. The curriculum emphasizes model training, optimization, and deployment, covering best practices for evaluation, hyperparameter tuning, and serving models using TensorFlow Serving, TensorFlow Lite, and TensorFlow.js. Advanced topics such as distributed training and custom model building are also explored, ensuring participants are well-versed in cutting-edge techniques. The program concludes with a capstone project where learners apply their knowledge to solve real-world problems, preparing them to excel as TensorFlow developers in diverse professional environments.
- 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 TensorFlow Developer Professional 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 Business. 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 1,35,500 / -
International Applicants: 1,578.28/- 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