Generative AI Engineering Professional
The Generative AI Engineering Professional program is a one-year course designed to equip engineers with advanced skills in AI model development, integration, and deployment. It covers foundational AI concepts, machine learning algorithms, and generative models.
About the Programme
The Generative AI Engineering program is a specialized course designed to equip AI engineers with the skills to develop, deploy, and integrate Generative AI technologies into various applications. This program covers foundational and advanced AI concepts, focusing on how AI can be applied to solve complex engineering problems, from automating processes to optimizing systems.
Participants will learn to integrate AI-driven solutions into engineering workflows, applying techniques like machine learning, deep learning, and natural language processing to build intelligent systems. Through hands-on experience, AI engineers will work on projects involving AI-based solutions for automation, predictive modeling, and system optimization.
Topics include developing AI models, deploying them at scale, and using Generative AI for tasks such as content generation, data analysis, and decision-making automation. This program is designed for professionals aiming to advance their careers by mastering AI technologies for a wide range of engineering applications. Graduates will be prepared to drive innovation and lead AI-powered engineering projects across industries.
Key Skills Developed
Who is the programme for?
The Generative AI Engineering program is designed for AI engineers, data scientists, and technology professionals eager to advance their skills and integrate Generative AI into engineering practices. It is ideal for individuals with a background in engineering or computer science who want to leverage AI technologies to optimize systems, automate processes, and drive innovation.
This program is also suitable for professionals seeking to explore new career opportunities in AI engineering, machine learning, and intelligent system development. Whether aiming to enhance existing engineering workflows with AI or develop cutting-edge AI-powered solutions, the program equips participants with the necessary tools and knowledge to lead AI-driven initiatives in a fast-evolving technological landscape.
How will you study?
The Generative AI Engineering program offers a dynamic learning experience, combining theoretical knowledge with practical applications. Delivered through a mix of live interactive sessions, self-paced online modules, and real-world project assignments, this program allows you to learn at your own pace while engaging in live discussions and solving engineering challenges with expert guidance.
The program emphasizes project-based learning, enabling you to apply AI concepts to real-world engineering problems. You will work on capstone projects and assignments that integrate AI-driven solutions into engineering workflows, including tasks like system optimization, process automation, and predictive modeling. Guided by industry experts, you will gain the skills to develop, deploy, and scale AI models, equipping you to lead AI-powered innovations in engineering.
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 Generative AI Engineering for Professionals program is a comprehensive course designed to equip engineering experts with advanced skills to integrate Generative AI into engineering practices. The first phase focuses on immersive learning, where professionals acquire foundational knowledge of AI technologies, including AI model development, machine learning techniques, and AI-driven optimization methods. The curriculum also covers the use of AI to automate engineering processes, enhance system performance, and predict potential failures.
The program transitions into a professional learning phase, combining hands-on experience with industry-specific case studies and real-world engineering challenges. This phase allows professionals to apply their skills by developing AI-powered solutions and addressing complex engineering problems. A collaborative project is also included, providing an opportunity to refine technical, analytical, and problem-solving abilities in a professional setting.
Upon successful completion, participants will receive the Generative AI Engineering for Professionals Certificate, opening career opportunities in AI-powered engineering roles, including AI Engineer, Machine Learning Specialist, and AI Systems Architect.
Programme Structure and Electives
The Generative AI Engineering for Professionals program is a structured, career-focused initiative designed to equip engineering experts with advanced skills in leveraging Generative AI technologies to drive innovation and optimize engineering systems. Spanning 12 months, this program combines comprehensive academic training with hands-on experience to ensure participants are well-prepared for roles in AI-powered engineering. The first six months focus on foundational instruction in key areas such as AI model development, machine learning techniques, and the integration of AI into engineering workflows. Participants will also explore advanced topics like predictive analytics, automation, and ethical considerations in AI-driven engineering solutions. The program emphasizes real-world application, where engineering professionals will apply their knowledge through hands-on projects, industry-specific case studies, and problem-solving exercises. In the second phase, participants will work on advanced projects, gaining practical experience in developing and deploying AI-powered systems. This phase also includes collaborative work, helping professionals refine their technical, analytical, and problem-solving skills in an engineering environment. Upon successful completion, participants will receive the Generative AI Engineering for Professionals Certificate, positioning them for career opportunities as AI Engineers, Machine Learning Specialists, or AI Systems Architects.
Core Periods Modules
The Generative AI Engineering for Professionals program is a structured, career-focused initiative designed to equip engineering experts with advanced skills in leveraging Generative AI technologies to drive innovation and optimize engineering systems. Spanning 12 months, this program combines comprehensive academic training with hands-on experience to ensure participants are well-prepared for roles in AI-powered engineering. The first six months focus on foundational instruction in key areas such as AI model development, machine learning techniques, and the integration of AI into engineering workflows. Participants will also explore advanced topics like predictive analytics, automation, and ethical considerations in AI-driven engineering solutions. The program emphasizes real-world application, where engineering professionals will apply their knowledge through hands-on projects, industry-specific case studies, and problem-solving exercises. In the second phase, participants will work on advanced projects, gaining practical experience in developing and deploying AI-powered systems. This phase also includes collaborative work, helping professionals refine their technical, analytical, and problem-solving skills in an engineering environment. Upon successful completion, participants will receive the Generative AI Engineering for Professionals Certificate, positioning them for career opportunities as AI Engineers, Machine Learning Specialists, or AI Systems Architects.
- Period 0
Introduction to Artificial Intelligence (AI)
The Introduction to Artificial Intelligence (AI) module provides a foundational understanding of AI concepts, technologies, and applications. Participants will explore the history of AI, its key components, and the evolution of machine learning, deep learning, and natural language processing. The module covers essential algorithms, techniques, and frameworks used in AI development.
- Period 1
Building Generative AI-Powered Applications with Python
The Building Generative AI-Powered Applications with Python module focuses on using Python to develop AI-driven applications. Learners will explore key libraries like TensorFlow, Keras, and PyTorch to build generative models.
- Period 2
Generative AI and LLMs: Architecture and Data Preparation
The Generative AI and LLMs: Architecture and Data Preparation module explores the architecture of large language models (LLMs) and their application in generative AI. Learners will study the underlying principles of LLMs, including transformer models and attention mechanisms.
- Period 3
Fundamentals of AI Agents Using RAG and LangChain
The Fundamentals of AI Agents Using RAG and LangChain module introduces learners to the basics of AI agents and how they can be built using Retrieval-Augmented Generation (RAG) and LangChain.
- Period 4
Generative AI Language Modeling with Transformers
The Generative AI Language Modeling with Transformers module focuses on the fundamentals of language modeling using transformer architectures. Learners will explore the workings of transformers, including self-attention mechanisms, positional encoding, and their application in natural language processing tasks.
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
- 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 Generative AI Engineering Professional at TheSSML
Upon successful completion of the Professional Programme at TheSSML, you will gain exclusive access to rewarding career opportunities at Ambaincip School of Business. This collaboration provides professionals with a unique opportunity to apply AI-driven business strategies and leadership skills within a fast-paced, growth-oriented business environment.
Ambaincip School of Business is dedicated to empowering graduates by placing them in influential leadership roles where they can lead AI-driven transformations, shape business strategies, and drive innovation within organizations. With the advanced expertise gained through the program, you will be well-prepared to assume senior roles, manage AI-driven projects, and contribute significantly to the success and growth of leading businesses.
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