Enter our AI-ML Training Program for Students, an immersive and forward-looking initiative designed to equip young minds with the knowledge and practical proficiency in AI and ML. This write-up delves into the program’s structure, objectives, and the remarkable journey it offers to empower students as they embark on a voyage into the realms of intelligent technologies. From foundational concepts to hands-on project experience, our training program serves as a launchpad for students to cultivate the expertise that will shape the future of technology and beyond.
Join us as we explore the transformative potential of AI and ML, cultivating a generation of innovators poised to revolutionize the world.
What could the students learn?
Here’s the list of all the wonders we are going to unravel together in the remarkable world of Artificial Intelligence.
Data Preprocessing – Pioneering the Foundations:
As you set foot on this academic voyage, our first module unfurls the significance of data preprocessing—an essential prelude to the AI-ML symphony. Navigate through the labyrinthine process of refining raw data into a polished gem, ready for advanced analysis. Learn the art of data cleaning, transformation, and feature engineering, laying a robust foundation for your AI endeavors.
Exploratory Data Analysis (EDA) – Charting the Unseen Territories:
Enter the realm of EDA—a captivating journey where data transforms into narratives. Unearth hidden insights as you traverse through patterns, distributions, and relationships within data. Master the visualization techniques that give life to data stories, enabling you to extract vital knowledge and make informed decisions that drive innovation.
Mastering ML Algorithms – Crafting Intelligence:
The heart of our program beats with the rhythm of Machine Learning algorithms. Dive into an array of supervised and unsupervised learning techniques, from regression to clustering. Grasp the subtleties of model selection, training, and evaluation, empowering you to build predictive and prescriptive models that wield influence across industries.
Deep Learning – Navigating the Neural Realms:
Prepare to unravel the mystique of Deep Learning—an epoch-making chapter in the AI saga. Immerse yourself in the world of neural networks, convolutional architectures, and recurrent models. Cultivate the expertise to design systems that can learn intricate patterns, enabling breakthroughs in image recognition, language processing, and more.
Generative AI – Crafting Possibilities from Imagination:
Creativity and innovation fuse in the Generative AI module, where machines become artists and inventors. Explore the magic of GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders), and witness AI’s ability to generate images, music, and text. Venture into a space where imagination and technology collaborate to create the extraordinary.
AI in the Cloud – Elevating Intelligence, Unbound:
In the final lap of our journey, experience the seamless integration of AI and the cloud. Harness the power of cloud platforms to deploy, manage, and scale AI applications. Learn the art of creating intelligent solutions that operate across the vast landscape of cloud infrastructure, breaking barriers and propelling your projects to new heights. Validate and enhance your skills by earning authorized certifications that applies Cloud in ML.
Equipped with expertise in data pre-processing, EDA, ML algorithms, deep learning, generative AI, and AI in the cloud, you stand on the cusp of becoming a future-shaping technocrat. Our AI-ML Training Program invites you to shape your destiny, fusing professionalism with the thrill of knowledge acquisition.
Industry-Recognized Certifications:
Industry-ready certifications such as Google TensorFlow Developer Certificate, Microsoft Certified: Azure AI Engineer Associate, IBM Certified Data Scientist, Amazon AWS Certified Machine Learning – Specialty, Certified Machine Learning Engineer (CMLE), Deep Learning Specialization (Coursera), Data Science Certification (Coursera), Certified Analytics Professional (CAP), Certified AI Professional (AIP): Offered by the AIIM , Certified Machine Learning Professional (CMLP), Certified Artificial Intelligence Practitioner (CAIP) ,SAS Certified Machine Learning Specialist, Certified Business Intelligence Professional (CBIP) are often recognized globally, making them valuable for professionals seeking opportunities in different geographic regions. This is particularly important in fields like AI and ML, where talent is in demand worldwide.
Career Insights:
Machine Learning (ML) has opened up a world of diverse and exciting career paths across various industries. As businesses and organizations increasingly leverage data-driven approaches, the demand for ML professionals has soared. Some prominent career paths and opportunities in Machine Learning are ML Engineer, Data Scientist, NLP Engineer, Quantitative Analyst, AI Ethics Consultant and so much more.
The increasing adoption of AI and ML across industries ensures a wide array of opportunities for professionals with expertise in these areas. As technology continues to advance, the possibilities for innovative roles and applications in Machine Learning are virtually limitless.
High Demand and Growth: ML professionals are in incredibly high demand across industries like finance, healthcare, e-commerce, entertainment, and more. The field’s growth shows no signs of slowing down, ensuring a plethora of job opportunities and career advancement.
Lucrative Salaries: ML roles often come with attractive compensation packages due to the specialized skills and expertise required. As organizations vie for top ML talent, professionals can command competitive salaries and benefits.
* Students have secured internship in Thaiwan and Companies such as crayon Data, EmCog solution
*Won Rs10,000 cash price in CUBETHON’23 (ORGANISED BY CUBET in Kerala)
*1st prize – AMET Ideathon
*Received an offer of seed money upto 1 lakh
*3rd prize – SSN VIVID (2023)
*1st Place – Jeppiaar Project Expo
*3rd Place – Hack-O-Holics, SJIT
*1st Place – Air-O-Thon Sairam Engineering
*Knowledge Sharing Done by Students to their PEER Students in Clubs Activities
S.no | Date | Event Type (Workshop/guest Lecture….) | Event Title | Poster |
1 | June 7th | Tech Talk | Introduction to Modern AI: An interdisciplinary perspective |
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2 | June 14th &15th | Boot Camp- Season1 | AI/ML/DS BootCamp |
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3 | August 21st | Tech Session | Discovering Causal Effects from Data: An Overview |
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4 | 5th September | Workshop | NLP from industry Perspective |
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5 | 9th August and 10th August | Hackathon | Full stack Futura |
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6 | 9th September | Competition | Kaggle Competition- Series 1 |
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7 | 22nd September | Competition | ML IDEA Presentation |
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TechTalk Photos
Full stack Futura Photos
