Certificate Programmer in AI for Managers

IIMBx offers a wide range of online courses, with this particular program being highly popular among managers from diverse fields. Designed for easy comprehension, it caters to beginners and equips managers with the skills needed to make effective functional decisions.

The AI for Managers program is an 8-month, comprehensive course consisting of 8 core modules and 2 bonus modules. Focused on enhancing decision-making, the course covers key topics such as Statistical Learning, Machine Learning, and Deep Learning, addressing the most important aspects of Artificial Intelligence.

Eligibility:

Professionals with 3+ years of experience, including IT professionals, consultants, senior managers, business leaders, and entrepreneurs, seeking to advance their AI/ML careers and drive business growth, can enrol in the program.

Admission Process:

The program follows a thorough admission process to ensure that participants are aligned with its challenging objectives. Candidates are selected based on profile screening and an interview.

Program Highlights

• Industry-relevant Curriculum: The course content is designed to address current trends and challenges in the industry, ensuring practical and up-to-date knowledge.
• Experienced Instructors from Industry & Academia: Learn from experts with a blend of real-world industry experience and academic excellence.
• Real-World Case Studies published by faculty at Harvard Business Publishing: Engage with high-quality, research-driven case studies created by IIMB faculty and featured at Harvard Business Publishing.
• Education from India’s Best Management School: Benefit from learning at the premier management institute in India, known for its academic rigor and leadership in business education.
• Hands-on Learning Experience: Gain practical knowledge through interactive exercises, workshops, and real-world applications.
• Certificate from IIMB: Receive a prestigious certification from IIM Bangalore, a globally recognized institution.
• State-of-the-art Pedagogical Tools: Experience innovative teaching methods and advanced learning technologies designed to enhance student engagement and understanding.
• Peer2Peer Learning Forum: Collaborate and learn from fellow participants, fostering a community-driven learning environment.
• Boot Camp: Intensive sessions focused on building essential skills and knowledge in a short period, ensuring rapid learning and application.
• Class Labs/Home Assignments: Reinforce learning through hands-on activities and assignments that allow for practical implementation of concepts.
• Affiliate Alumni: Gain lifelong access to a network of IIMB alumni, offering opportunities for mentorship, collaboration, and career advancement.

 

The 8 modules covered in the programme are:

  1. Foundations of Data Science equips managers with key statistical techniques for data-driven decision-making. It covers data summarization, probability concepts, distributions, sampling, and hypothesis testing, enabling effective data analysis and informed business decisions.
  2. Data Visualization and Story Telling covers data preparation, cleaning, and imputation techniques, including KNN algorithms. Learners will explore data visualization principles, encoding methods, and create business dashboards using Tableau, with a focus on storytelling to effectively communicate insights.
  3. Predictive Analysis introduces key concepts of predictive analytics, including linear, multiple, and logistic regression, along with diagnostics and validation techniques. The course covers ARIMA forecasting, real-world industry applications, and tools such as MS Excel, R, Python, and SPSS, providing learners with essential skills for data-driven decision-making.
  4. Reinforcement Learning focuses on RL algorithms for decision-making under uncertainty, covering Markov models, Poisson processes, and dynamic programming. Participants will explore applications in business, finance, and operations, including brand loyalty modeling, market share estimation, and retail analytics, developing skills to tackle complex problems and optimize rewards.
  5. Artificial Neural Network and Deep Learning covers neural networks, deep learning, and Generative AI using TensorFlow/Keras. Participants will learn to build and train neural networks, implement CNNs for computer vision, and use NLP models like RNNs, LSTMs, and Transformers. The course also explores advanced techniques such as YOLO, autoencoders, transfer learning, and recommender systems, providing hands-on experience with modern AI architectures.
  6. Generative AI explores Generative AI’s fundamentals, applications, and deep learning techniques, including transformers, prompt engineering, GANs, diffusion models, andLangChain. Participants will learn text/image generation, retrieval-augmented generation (RAG), and reinforcement learning with human feedback. The course emphasizes ethical AI, deployment strategies, and real-world business applications.
  7. Machine Learning Using Python course provides a foundation in machine learning using Python, covering data exploration, preprocessing, and model building. Participants will learn supervised techniques like regression, classification, and decision trees, as well as unsupervised methods such as clustering and recommender systems. The course also includes model deployment and practical applications.
  8. This course offers the perfect opportunity to elevate your career in Artificial Intelligence and Machine Learning. Whether you’re a professional looking to upskill or a business leader aiming to leverage AI/ML for growth, the knowledge and expertise gained from this program will empower you to stay ahead in the rapidly evolving tech landscape. Take the first step toward mastering AI/ML and unlock new career opportunities today.