Android Development Using Machine Learning
This programme is offered by TheSSML in collaboration with the Institute for Advanced AI and Machine Learning Specialization (IAAIMLS).
About the Programme
The Android Development Using Machine Learning Specialization is an intensive program designed to equip developers with the skills required to build intelligent Android applications powered by machine learning. Through a hands-on approach, the specialization covers essential topics such as integrating machine learning models into Android apps, utilizing frameworks like TensorFlow Lite for on-device inference, and applying advanced techniques like image recognition, natural language processing (NLP), and predictive analytics. The program also emphasizes practical, real-world applications, allowing participants to work on projects that integrate AI-driven features into mobile apps. By combining Android development with machine learning, the specialization ensures that graduates are prepared to create cutting-edge, data-driven mobile solutions. Whether you're a beginner or an experienced developer, this program provides the tools and expertise needed to thrive in the growing field of mobile AI development.
Key Skills Developed
Who is the programme for?
The Android Development Using Machine Learning Specialization is designed for Android developers, software engineers, and tech enthusiasts who want to enhance their skills by integrating machine learning into Android applications. It is ideal for professionals seeking to develop advanced mobile apps that leverage AI and machine learning technologies to provide innovative solutions such as image recognition, predictive analytics, and natural language processing. The program is also suitable for individuals interested in the intersection of mobile development and AI, aspiring to become experts in creating cutting-edge, intelligent mobile applications.
How will you study?
In the Android Development Using Machine Learning Specialization, you will follow a blended learning approach, combining live interactive sessions, self-paced online modules, and hands-on project assignments. You will study key concepts such as machine learning integration in Android apps, using platforms like TensorFlow Lite, and apply them to real-world scenarios. Practical, project-based learning will allow you to build Android applications that utilize machine learning algorithms, such as image classification or natural language processing. You will also work on capstone projects to apply what you’ve learned, with continuous guidance from industry experts to ensure mastery of both mobile app development and machine learning integration. This flexible structure helps you balance learning with practical implementation, enhancing your skills step by step.
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 Android Development Using Machine Learning Specialization is a comprehensive program designed to equip developers with the skills to integrate machine learning into Android applications. Over the course of the program, participants will learn how to leverage powerful AI and machine learning frameworks like TensorFlow Lite to enhance mobile apps with functionalities such as image recognition, natural language processing, and predictive analytics. The program covers both foundational and advanced concepts of Android development, with a strong emphasis on applying machine learning models to solve real-world problems. Through hands-on projects and guided learning, participants will build a portfolio of AI-powered Android applications. By the end of the specialization, graduates will be proficient in combining Android development with cutting-edge machine learning techniques, preparing them for roles as Android developers, AI engineers, or mobile app developers.
Programme Structure and Electives
The Android Development Using Machine Learning Specialization is structured into several modules that progressively build knowledge and skills. The program begins with an introduction to Android development, where participants learn the fundamentals of building Android apps and the Android Studio environment. Following this, the program dives into machine learning concepts, introducing tools and techniques like TensorFlow Lite for integrating machine learning models into Android apps. Participants will also cover key topics such as image recognition, speech-to-text, and natural language processing (NLP) within mobile applications. As the program progresses, participants will explore advanced Android development techniques and learn how to optimize machine learning models for mobile devices to ensure efficient and effective performance. The specialization emphasizes hands-on learning, allowing students to work on projects that involve building real-world applications like chatbots, image classifiers, and recommendation systems. By the end of the program, learners will complete a capstone project to demonstrate their mastery of Android development and machine learning integration, preparing them for professional roles in the mobile development and AI industries.
Core Periods Modules
The Android Development Using Machine Learning Specialization is structured into several modules that progressively build knowledge and skills. The program begins with an introduction to Android development, where participants learn the fundamentals of building Android apps and the Android Studio environment. Following this, the program dives into machine learning concepts, introducing tools and techniques like TensorFlow Lite for integrating machine learning models into Android apps. Participants will also cover key topics such as image recognition, speech-to-text, and natural language processing (NLP) within mobile applications. As the program progresses, participants will explore advanced Android development techniques and learn how to optimize machine learning models for mobile devices to ensure efficient and effective performance. The specialization emphasizes hands-on learning, allowing students to work on projects that involve building real-world applications like chatbots, image classifiers, and recommendation systems. By the end of the program, learners will complete a capstone project to demonstrate their mastery of Android development and machine learning integration, preparing them for professional roles in the mobile development and AI industries.
- Period 0
Introduction to Android Development
This module covers the basics of Android development, including setting up Android Studio, understanding the architecture of Android apps, and the fundamental components like Activities, Fragments, and Views. Learners will build simple applications to get familiar with the development environment.
- Period 1
Integrating Machine Learning with Android
In this module, participants learn how to integrate machine learning models into Android apps using TensorFlow Lite. They'll explore how to convert pre-trained models into a mobile-friendly format and use them to add intelligent features such as image and text recognition.
- Period 2
Image Recognition with Android
This module focuses on integrating image recognition capabilities into Android apps. Learners will use machine learning techniques to classify and label images in real-time using TensorFlow Lite, exploring object detection and image classification for various use cases.
- Period 3
Speech Recognition and Natural Language Processing (NLP)
learn how to implement speech-to-text and text-to-speech functionalities, as well as how to use NLP for tasks like sentiment analysis and language translation. They will use Android's speech recognition APIs and external libraries like TensorFlow to enhance app capabilities.
- Period 4
Optimizing Machine Learning Models for Mobile
This module teaches participants how to optimize machine learning models for mobile devices. They will explore techniques such as quantization and pruning to make models smaller and faster, ensuring efficient performance on Android devices without compromising accuracy.
- Period 5
Building an AI-Powered Android App
In this final module, You will apply their knowledge to develop a complete Android application that leverages machine learning. They will work on a real-world project, such as a chatbot, recommendation system, or AI-based photo editor, and demonstrate their skills in integrating AI with Android development.
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
- 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 Android Development Using Machine Learning 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