Advanced Artificial Intelligence Course with Internship & Certification
Step into the future of AI with this immersive 10–12 week training program. Learn how to design intelligent systems using Python, build machine learning models, and develop advanced generative applications. Complete real-world projects, receive personalized internship mentoring, and earn certifications to power your career in AI innovation.
To Whom This Course is For
– Final-year students from any academic background ready for AI careers
– IT professionals, automation specialists, and analysts transitioning into AI roles
– Beginners with a passion for AI, ML, and data who want practical exposure
– Ambitious job seekers preparing for roles like AI Engineer, ML Developer, or Data Scientist
Course Objectives & Learning Outcomes
– Gain in-depth knowledge of AI principles, neural architectures, and core ML algorithms
– Craft intelligent prediction pipelines from the ground up using Python and Scikit-learn—building, training, and deploying models with precision and scalability
– Create deep learning workflows using TensorFlow and Keras frameworks
– Work on real AI challenges involving NLP, computer vision, and generative models
– Develop interview-ready skills and prep for globally recognized AI certifications
Skills You Will Learn
– Python programming tailored to AI workflows and logic
– Machine learning development including supervised and unsupervised techniques
– Deep learning applications: CNNs, RNNs, LSTMs for structured learning
– Natural Language Processing with modern transformer models
– Generative AI: Learn tools like ChatGPT, DALL·E, Hugging Face for content generation
– End-to-end model evaluation, fine-tuning, and deployment strategy
– Collaboration tools including Git, GitHub, Colab, and TensorBoard for performance insights
Course Modules / Syllabus Overview
– Kickstart your AI journey with core intelligence concepts and Python-based tooling—blending algorithmic thinking with hands-on coding to build smart, scalable solution
– ML Algorithms and Implementation with Scikit-learn
– Deep Learning Constructs Using TensorFlow and Keras
– NLP Development with Transformers and Hugging Face APIs
– Bring visual intelligence to life by crafting image recognition and transformation solutions using OpenCV—your gateway to real-time computer vision innovation.
– Generative AI: Building Solutions with Prompt Engineering Techniques
– Architect resilient AI systems by mastering deployment workflows and MLOps strategies
—ensuring continuous integration, versioning, and scalability across real-world environments
– Final Capstone: Architect and Launch a Full AI System for Business Use
Duration & Mode
– Total Duration: 10–12 Weeks of hands-on learning
– Delivery Method: Online sessions (live classes + recorded library)
– Flexible Schedule: Weekday and weekend learning tracks available
– Python, Jupyter Notebook, Google Colab
– Scikit-learn, TensorFlow, Keras
– OpenCV, Hugging Face, ChatGPT API
– Git, GitHub, Streamlit, Flask
– Power BI / Tableau (for optional visualization)
Tools & Software Covered
Python with Jupyter Notebook and Google Colab
Scikit-learn, TensorFlow, and Keras for model building
Hugging Face, ChatGPT API, and OpenCV for GenAI and NLP
Streamlit, Flask, Git, and GitHub for app deployment
Power BI or Tableau (optional) for data visualization
Internship or Capstone Project
– Participate in a 4-week AI-focused internship solving real-time challenges
– Hands-on project options: Develop chatbots, image recognition models, or intelligent recommender systems
– Personalized GitHub portfolio showcasing your AI capstone achievements with peer and mentor reviews
Certifications Offered
– Completion Certificate validating your proficiency in Artificial Intelligence
– Internship Certificate recognizing practical experience in AI project execution
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