Week-5 Day-4 MERN Full Stack 45 Days Internship

🌟 Comprehensive Internship Program Domains: AI-ML | Data Analytics | Full Stack Web Development | Cybersecurity Duration: 6 to 8 Weeks | Mode: Online / Hybrid / Offline Ideal For: Students | Freshers | Career Switchers Deliverables: Live Training | Project Work | Certificates | Career Support 🔰 Program Overview This internship program is curated to empower students and emerging professionals with essential industry skills in the most in-demand domains of the 21st century: Artificial Intelligence and Machine Learning (AI-ML), Data Analytics, Full Stack Web Development, and Cybersecurity. The curriculum blends theory with practical, project-based learning, designed to bridge the gap between academic education and real-world applications. Whether you're looking to build your first machine learning model, develop a secure full-stack application, visualize datasets, or understand cyber threats, this internship will serve as your launchpad. 📚 Program Structure The internship is structured over 6 to 8 weeks and divided into weekly milestones. Each week combines instructor-led sessions, hands-on labs, mini-projects, doubt-clearing sessions, and career guidance. Interns will have access to recorded lectures, downloadable resources, GitHub repositories, and Slack/Discord support channels. Interns may choose one specialization or explore all four domains through a foundation week followed by domain-specific deep dives. Project submission and evaluation form the core of the assessment mechanism, ensuring practical understanding and implementation ability. 💡 Domain 1: Artificial Intelligence & Machine Learning (AI-ML) Objective: Build a foundational understanding of machine learning, including the mathematics, tools, and coding principles behind intelligent systems. Topics Covered: Introduction to Python for ML: NumPy, Pandas, Matplotlib Supervised Learning: Linear & Logistic Regression, Decision Trees, Random Forests Unsupervised Learning: K-Means, Hierarchical Clustering Model Evaluation Metrics: Accuracy, Precision, Recall, Confusion Matrix Deep Learning: Neural Networks, CNN, RNN Frameworks: Scikit-learn, TensorFlow, Keras Tools Used: Jupyter Notebook Google Colab Scikit-learn TensorFlow/Keras Git & GitHub Mini Projects: House Price Prediction Movie Recommendation Engine Image Classification with CNN Spam Mail Detection Outcomes: Build, train, and evaluate ML models Understand ML lifecycle from data preprocessing to deployment Experience with industry tools and libraries 📊 Domain 2: Data Analytics Objective: Teach participants how to transform raw data into actionable insights through cleaning, analysis, and visualization techniques. Topics Covered: Data Fundamentals: Data Types, Statistics, Probability Excel for Analysis: Formulas, Pivot Tables, Charts SQL for Data Queries: SELECT, JOIN, GROUP BY, Subqueries Python for Data Analysis: Pandas, NumPy, Matplotlib, Seaborn Visualization Dashboards: Tableau / Power BI Data Wrangling & Cleaning Tools Used: Excel MySQL / PostgreSQL Python (Pandas, Matplotlib, Seaborn) Tableau / Power BI Jupyter Notebook Mini Projects: Sales Trend Analysis Dashboard COVID-19 Data Visualization HR Analytics E-commerce Customer Behavior Outcomes: Ability to clean, visualize and interpret data Create dashboards and derive KPIs Understand business questions and data-driven decision making 🌐 Domain 3: Full Stack Web Development (MERN) Objective: Enable interns to build complete, scalable web applications using modern technologies and best practices. 🔐 Domain 4: Cybersecurity Objective: Introduce cybersecurity fundamentals and practical skills needed to identify vulnerabilities and secure digital systems. Topics Covered: Cybersecurity Basics: CIA Triad, Threats & Vulnerabilities Network Security: TCP/IP, Firewalls, Packet Sniffing Web Security: OWASP Top 10 (XSS, SQLi, CSRF, etc.) Ethical Hacking Tools: Nmap, Wireshark, Burp Suite Linux for Security Testing: Basic Commands, Kali Linux Incident Response & Secure Coding Tools Used: Kali Linux Burp Suite Nmap, Nikto Wireshark TryHackMe / HackTheBox 🎓 Certification & Recognition All participants who complete the internship will receive: Internship Completion Certificate Project Experience Certificate (per domain/project) Letter of Recommendation (LoR) – for top-performing interns GitHub Portfolio with Documented Projects LinkedIn Endorsements & Recommendation (On Request) 📝 Who Can Apply? B.Tech/M.Tech/BCA/MCA/M.Sc Students Final-Year Students seeking capstone projects Recent Graduates & Career Changers Anyone passionate about building a tech career 📞 Contact Us For any queries, support, or custom enrollment: 📧 Email: [email protected] 🌐 Website: www.gncipl.online 📱 WhatsApp: +91-7303831260