SM-ACE Cohort 2026

Short Answer: Yes, project-based learning is included.
Explanation: Students work on real-world applications such as AI chatbots, automation systems, and data-driven reports. These projects help them apply their knowledge in practical scenarios. By the end of the program, students have tangible outputs they can showcase.

Short Answer: Industry-relevant AI tools and platforms.
Explanation: Students are trained on tools used in real-world environments, including AI content generation, research tools, automation platforms, and analytics solutions. This ensures that their learning directly translates into workplace productivity and effectiveness.

Short Answer: Yes, it is a core skill.
Explanation: Prompt engineering teaches students how to effectively communicate with AI tools. Students learn how to structure queries to get accurate and useful outputs. This is a fundamental skill required to use AI efficiently in any domain.

Short Answer: Yes, it is a key focus area.
Explanation: The program emphasizes problem framing and logical thinking. Students learn how to break down problems and use AI tools to solve them efficiently. This builds strong analytical and decision-making skills.

Short Answer: Yes.
Explanation: Students learn to automate repetitive tasks such as content creation, reporting, and data processing. This helps improve productivity and efficiency. Automation skills are highly valued in modern workplaces.

Short Answer: Yes, especially in advanced tracks.
Explanation: In the 120-hour program, students move beyond using tools and start working on building AI-based solutions. This includes understanding APIs, integrating AI into applications, and creating functional prototypes. It helps engineering students bridge the gap between theory and real-world development.

Short Answer: Not mandatory, but helpful for advanced learning.
Explanation: Students can complete the program without prior coding knowledge, especially in the 40 and 80-hour tracks. However, for those opting for advanced modules, basic Python knowledge can help in understanding integrations and building AI-driven solutions more effectively.

Short Answer: Yes, through project-based exposure.
Explanation: While the program is not purely theoretical, it introduces students to key AI domains like Natural Language Processing through practical use cases. Students get hands-on exposure by building solutions rather than just studying concepts, making learning more application-focused.

Short Answer: Practical, real-world AI tasks.
Explanation: Students will work on activities such as creating AI-powered presentations, generating reports, automating workflows, and developing content using AI tools. These activities are aligned with real workplace tasks, ensuring relevance and usability.

Short Answer: Yes, especially for final year work.
Explanation: Students can integrate AI into their academic projects to create more impactful and innovative solutions. This not only improves project quality but also makes their work stand out. It can also help in scoring better during evaluations.

Short Answer: A mix of Python-based integrations and professional low-code builders.
Explanation: Engineering students move beyond basic prompting to use Python for API integrations and frameworks like LangChain. For non-technical students, we focus on professional "low-code" environments like Bubble or Retool to build functional AI app prototypes, ensuring all 120-hour graduates can deploy a working solution.

Short Answer: Yes, through cross-disciplinary "Innovation Sprints."
Explanation: SM-ACE encourages B.Tech students to pair with BBA or Media students for Capstone projects. This mimics a real-world startup environment where "tech" meets "business," allowing students to build AI solutions that are both technically sound and commercially viable.

Short Answer: Yes, significantly.
Explanation: The program equips students with practical AI tools and problem-solving approaches that can be directly applied in hackathons. Students can build faster, smarter, and more impactful solutions, increasing their chances of performing well in competitions.

Short Answer: Roles across business, tech, and operations.
Explanation: Students can pursue roles such as business analyst, AI-enabled marketer, operations executive, and developer roles for engineering students. The program enhances productivity across multiple career paths. It prepares students for modern job roles where AI usage is expected.

Short Answer: Yes, significantly.
Explanation: The hands-on nature of the program ensures students have real skills to demonstrate during interviews. Projects completed during the program act as proof of capability. This improves confidence and increases chances of securing internships.

Short Answer: Yes, it provides a strong competitive edge.
Explanation: AI skills are increasingly expected in technical roles. By learning how to use and integrate AI, students stand out compared to traditional candidates. It enhances their problem-solving ability and makes them more relevant to current industry needs.

Short Answer: Yes, significantly.
Explanation: Employers today expect candidates to be comfortable using digital tools and AI. This program ensures students can perform tasks faster and more efficiently. It enhances both confidence and capability during job interviews and in actual roles.

Short Answer: Yes, it is future-critical.
Explanation: AI is becoming a core part of almost every industry. Professionals who can effectively use AI tools will have a strong advantage. Learning AI now ensures long-term career relevance.

Short Answer: Yes, it is highly future-relevant.
Explanation: AI is becoming a fundamental part of almost every industry. Students who understand how to use AI effectively will have a strong advantage in the job market, making it a reliable and future-proof skill.

Short Answer: Yes, ACE-certified students get priority access to AI-focused hiring partners.
Explanation: Beyond general placement support, Scholars Merit hosts exclusive "AI-First" hiring events. Students who complete the 120-hour track are tagged as "High-Competency AI Practitioners" in our corporate database, specifically matching them with employers looking for digital transformation and automation roles.

Short Answer: No, it is designed for practical understanding.
Explanation: The program focuses on how to use AI tools rather than how to build them from scratch. It avoids heavy coding and emphasizes real-world applications, making it accessible and easy to understand for non-technical students.

Short Answer: Yes, it is widely used across business functions.
Explanation: AI is already transforming areas like marketing, customer service, finance, and operations. Learning how to use AI in these areas helps students become more efficient and valuable in their roles. It also prepares them for future workplace expectations.

Short Answer: You act as the "Product Owner" or "Domain Expert" in a team.
Explanation: During cross-disciplinary sprints, BBA or BA students identify the business problem (e.g., a marketing automation need), while B.Tech students handle the technical API integration. This mimics a real-world corporate structure where "tech" meets "business," ensuring non-tech students learn to lead AI projects without needing to code.

Short Answer: Yes, through real projects.
Explanation: Students develop a portfolio of AI-based projects that showcase their practical skills. These projects can be used during job interviews and applications. It provides tangible proof of their capabilities.

Short Answer: On a permanent, verified digital profile via the Scholars Merit portal.
Explanation: Every student receives a "Verified AI-Ready" digital portfolio link. This link hosts your Capstone project, earned badges, and certification. It is designed to be embedded in your LinkedIn profile or resume, giving recruiters one-click proof of your AI capabilities.

Short Answer: A comprehensive, real-world AI solution built from scratch.
Explanation: The Capstone is the "hero" of your portfolio. Unlike small class exercises, this is a major project—such as a custom-trained customer service bot for a local business or an automated financial analysis tool—that demonstrates you can solve a complex problem from start to finish using AI.

Short Answer: Through personalized Capstone projects targeting specific industries.
Explanation: While foundational exercises are standard, the Capstone project is a "hero" piece built from scratch to solve a unique problem, such as an automated tool for a local business. These tangible, varied outputs ensure that every student's digital portfolio showcases individual problem-solving capability to recruiters.

Short Answer: Yes, it is a permanent digital asset.
Explanation: Your digital portfolio lives on the Scholars Merit portal as a verified link. It serves as a long-term professional credential that you can embed in your LinkedIn profile or resume, providing employers with one-click proof of your AI competencies long after you leave campus.

Short Answer: Through continuous assessments and projects.
Explanation: The program includes quizzes, assignments, and project evaluations at every stage. This ensures that students are consistently learning and improving, and their progress can be monitored effectively.

Short Answer: Yes, consistent participation in the 60% offline sessions is mandatory.
Explanation: Because SM-ACE is mentor-led and practical rather than self-paced, students must attend classroom sessions to receive hands-on feedback. While digital support is available for missed content, the "Verified AI-Ready" certification is only awarded to those who complete the requisite lab hours and project milestones.

Short Answer: A laptop with at least 8GB RAM and a stable internet connection.
Explanation: While most AI tools are cloud-based, running multiple browser tabs for LLMs, design tools, and automation platforms simultaneously is resource-intensive. For a smooth experience without lag, we recommend a minimum of 8GB RAM and an i3/Ryzen 3 processor (or higher).

Short Answer: You can still participate via cloud-based environments.
Explanation: While 8GB is recommended for a lag-free experience when multitasking with LLMs and design tools, the SM-ACE ecosystem is designed to be "cloud-first". This means most of the heavy processing happens on remote servers, allowing students with entry-level hardware to follow the curriculum as long as they have a stable internet connection.

Short Answer: Yes, the program is modular.
Explanation: Students can start with a basic program and gradually move to more advanced levels. This flexibility allows them to build confidence first and then deepen their learning based on interest and career goals.

Short Answer: No, it complements academic learning.
Explanation: The program is designed to align with college schedules and does not overload students. In fact, AI tools learned in the program help students study more efficiently, complete assignments faster, and improve overall productivity.

Short Answer: They can catch up through digital support.
Explanation: The digital component of the program provides access to learning materials, assignments, and resources. While attendance is important for hands-on learning, students can still stay on track using these resources.

Short Answer: Because structured learning delivers better results.
Explanation: Online courses often lack discipline, mentorship, and practical exposure, leading to incomplete learning. SM-ACE provides guided learning, real-time support, and hands-on experience, ensuring students actually gain usable skills.

Short Answer: Yes, it directly improves employability.
Explanation: The program focuses on practical skills that are relevant in today’s job market. It helps students become more productive, confident, and capable, which increases their chances of securing better opportunities.

Short Answer: Classroom learning supported by digital practice.
Explanation: Students spend 60% of their time in classroom sessions where they learn concepts and apply them through hands-on activities. The remaining 40% includes digital learning such as quizzes, assignments, and guided exercises. This balance ensures both structured learning and independent practice.

Short Answer: No, it can improve efficiency.
Explanation: Students learn how to use AI tools for research, assignments, and study support. This helps them save time and perform better academically rather than being distracted.

Short Answer: No, the program uses a mix of open-source and provided credits.
Explanation: Students are primarily trained on professional-grade free tiers and open-source models to ensure accessibility. For the 120-hour advanced track, the curriculum focuses on API integrations and low-code builders where students learn to manage resources efficiently. This ensures no student is financially sidelined by high subscription costs while learning.