Department of AIML

Ambalika Institute of Management and Technology offers an undergraduate program in Artificial Intelligence and Machine Learning, specifically, B. Tech AI/ML. It is the best AI/ML course in Lucknow affiliated to AKTU and follows the eight semester structure prescribed by it.

Our B.Tech program in Artificial Intelligence and Machine Learning is designed to provide an in-depth exploration of AI and ML, equipping you with the skills and knowledge needed to thrive in this advanced field. Launched in 2022, this four-year undergraduate program offers a robust foundation in both the theoretical and practical aspects of AI and ML. We emphasize fostering creativity, critical thinking, and problem-solving abilities, preparing our students to become innovative leaders in this rapidly evolving industry.

Our faculty members are seasoned professionals with extensive expertise in AI and ML. They are dedicated to teaching and mentoring, ensuring that students excel academically while gaining practical insights into real-world applications. Their industry experience offers students a valuable perspective on the challenges and opportunities within the AI and ML sectors.

Our learning environment is dynamic and well-equipped, featuring modern laboratories, high-performance computing resources, and extensive datasets. The campus fosters a culture of learning, research, and innovation, providing students with the resources and support needed to excel academically and professionally.

Graduates of a bachelor’s degree in Artificial Intelligence and Machine Learning (B. Tech AI/ML) are in high demand across a range of industries. Whether in established tech companies or innovative startups, the need for AI and ML specialists is rapidly increasing. This growing demand presents promising career opportunities and significant potential for professional advancement.

Program Educational Outcomes

PEO1: Graduates will be prepared to excel in diverse career opportunities in the fields of Artificial Intelligence and Machine Learning, or pursue advanced studies in leading institutions worldwide.

PEO2: Graduates will possess a deep understanding of the foundational principles, theories, and applications in Computer Science, with a specialization in Artificial Intelligence and Machine Learning.

PEO3: Graduates will demonstrate professionalism, ethical conduct, and a commitment to lifelong learning, engaging in continuous professional development to stay abreast of emerging technologies and trends in the field.

PEO4: Graduates will embrace a culture of lifelong learning, adapting to evolving technologies and societal needs, and contributing positively to their communities and the environment.

Program Outcomes

  • PO 1 Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
  • PO 2 Problem Analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
  • PO 3 Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
  • PO 4 Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
  • PO 5 Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
  • PO 6 The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
  • PO 7 Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
  • PO 8 Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice .
  • PO 9 Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  • PO 10 Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
  • PO 11 Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
  • PO 12 Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

Program Specific Outcomes

  • PSO 1: Apply AI and ML techniques to analyze and develop intelligent systems that solve real-world problems across various domains.
  • PSO 2: Design and implement AI-driven solutions with ethical considerations, ensuring fairness, transparency, and societal well-being.
  • PSO 3: Engage in interdisciplinary research, innovation, and lifelong learning to advance AI and ML technologies for global and industrial applications.

Department Vision

To emerge as a premier center of excellence in the field of Computer Science and Engineering (Artificial Intelligence & Machine Learning), fostering the development of innovative, ethical, and globally competent professionals who contribute to a sustainable and data-driven future.

Department Mission

    • To nurture highly skilled professionals in Artificial Intelligence and Machine Learning by providing state-of-the-art infrastructure, fostering academic excellence, and promoting innovation.
    • To instill ethical values, integrity, and social responsibility in students, empowering them to become responsible citizens and leaders who contribute to a sustainable and data-driven future.
    • To bridge the gap between academia and industry by aligning educational programs with emerging trends, fostering interdisciplinary research, and encouraging lifelong learning.

Career Opportunities

The job prospects for B.Tech graduates in Artificial Intelligence and Machine Learning (AI & ML) are highly promising in India, given the rapid advancements in technology and the increasing adoption of AI across industries. As organizations strive to leverage AI to enhance operational efficiency, improve customer experiences, and gain competitive advantages, the demand for skilled professionals in AI & ML has surged.

Growing Demand across Industries

AI & ML graduates are sought after in diverse sectors such as IT, finance, healthcare, e-commerce, telecommunications, automotive, and manufacturing. The increasing reliance on data-driven decision-making and automation has created a robust job market for these graduates. AI technologies, like predictive analytics, natural language processing (NLP), and computer vision, are transforming industries, and companies are looking for experts to implement and optimize these solutions.

Roles and Responsibilities: Graduates can pursue various roles including Data Scientist, Machine Learning Engineer, AI Researcher, AI Consultant, Deep Learning Specialist, Robotics Engineer, and Business Intelligence Analyst. These professionals work on developing algorithms, building AI-driven applications, analyzing big data, designing intelligent systems, and improving automation processes. Specific tasks may involve data cleaning, model development, training machine learning models, and deploying AI systems to solve real-world problems.

Leading Employers

Top-tier global tech companies like Google, Microsoft, Amazon, and IBM are actively hiring AI & ML talent for their R&D divisions, product teams, and AI-driven projects. In India, IT giants such as TCS, Infosys, Wipro, Accenture, and Cognizant are investing heavily in AI and ML and recruiting engineers to handle their expanding AI initiatives. Furthermore, startups in fields like fintech, healthtech, edtech, and e-commerce are continuously on the lookout for AI & ML experts to innovate and scale their operations.

High Demand in Emerging Fields

As AI continues to evolve, emerging fields like autonomous vehicles, smart cities, robotics, and AI-driven healthcare solutions are providing new avenues for B.Tech AI & ML graduates. Roles like autonomous systems engineer, robotics process automation specialist, and AI healthcare solutions architect are gaining momentum. The rise of AI-powered chatbots, predictive analytics in healthcare, and AI-powered financial tools is contributing to the growth of specialized job opportunities.

Freelancing and Entrepreneurship

In addition to traditional employment, AI & ML graduates can explore freelancing opportunities, offering services like custom AI solutions, data analysis, and consulting. Freelancing platforms like Upwork, Freelancer, and Fiverr connect professionals with global clients seeking AI expertise. Moreover, the startup ecosystem in India is thriving, and AI graduates with entrepreneurial aspirations can launch their own ventures in AI product development, consulting, or data analytics.

Competitive Salaries and Career Growth

AI & ML professionals are among the highest-paid engineers in India. Entry-level salaries for positions like Machine Learning Engineer or Data Scientist typically range from ₹6-12 lakhs per annum, with the potential for significant growth as professionals gain experience. Senior roles, including AI Architect or Lead Data Scientist, can command salaries well above ₹20 lakhs annually, depending on the company and expertise.

As AI technologies continue to evolve, the job market for B.Tech AI & ML graduates in India is expected to expand further, offering dynamic career opportunities and long-term growth prospects.

Curriculum & Syllabus

The curriculum is meticulously designed to encompass a wide range of topics, including machine learning algorithms, neural networks, data mining, natural language processing, and computer vision. Students receive hands-on training with the latest tools and technologies, enabling them to develop AI-driven solutions for both current and future challenges.

We emphasize practical learning by encouraging students to engage in research projects and collaborate with industry partners. These opportunities allow students to apply their knowledge to real-world problems and contribute to advancements in AI and ML.

For detailed information on the syllabus, click here

Industry Academia Interaction

The Department of Artificial Intelligence and Machine Learning (AI & ML) is actively fostering strong industry-academia interactions, recognizing their critical role in bridging the gap between theoretical knowledge and real-world applications. These collaborations enhance the educational experience and prepare students for the demands of the rapidly evolving AI industry.

Industry Collaborations:

The department has established partnerships with leading tech companies, startups, and research organizations in the AI and ML domains. These collaborations facilitate knowledge exchange, joint research projects, and the development of innovative AI solutions. Industry experts are regularly invited to conduct workshops, seminars, and guest lectures, where they share insights on current trends, challenges, and future directions in AI. This exposure helps students stay updated with the latest industry developments and prepares them for industry roles.

Internship and Placement Opportunities:

Through its industry connections, the department offers students valuable internship opportunities, enabling them to gain practical experience by working on real-world AI projects. Companies such as Google, Microsoft, Amazon, and IBM provide internship and placement opportunities, ensuring students are well-equipped with hands-on experience and skills needed to thrive in the professional world. These interactions often lead to recruitment drives, where top industry players scout for fresh talent directly from the department.

In summary, the department’s focus on industry-academia interactions significantly enhances the overall learning experience, providing students with invaluable exposure to real-world AI challenges, cutting-edge technologies, and professional opportunities.

Department Achievements

The curriculum is regularly updated to align with the latest advancements in AI & ML, ensuring students are well-equipped with the knowledge and skills required to excel in the rapidly evolving field. The department also organizes workshops, guest lectures, and seminars by industry experts and researchers, providing students with valuable insights into current trends and emerging technologies.

Student Achievements:

The department takes pride in its students’ accomplishments, including top rankings in coding competitions, AI challenges, and Hackathons. Several students have secured internships and job offers with top-tier tech companies. The department also supports students in participating in research-oriented projects and competitions, allowing them to showcase their talent and creativity.

In summary, the Department of B.Tech in AI & ML has made remarkable strides in academic excellence and student development in a short time, positioning itself as a leading institution in the field of Artificial Intelligence and Machine Learning.

Faculty List

S. No. Session Faculty Name Department Designation
1 2024-25 DR. SAROJ KUMAR AI & ML PROFESSOR
2 2024-25 MR. AMIT SAXENA AI & ML ASSISTANT  PROFESSOR
3 2024-25 MRS SWATI GAUR AI & ML ASSISTANT  PROFESSOR
4 2024-25 MS ARSHITA SRIVASTAVA AI & ML ASSISTANT  PROFESSOR
5 2024-25 MR AMAN VERMA AI & ML ASSISTANT  PROFESSOR
6 2024-26 MR GHANSHYAM CHAURASIA AI & ML ASSISTANT  PROFESSOR

We look forward to helping you acquire one of the top degrees in Artificial Intelligence & Machine Learning at Ambalika Institute of Management & Technology! Apply today or send us your queries!