8 packages for AI & ML

Bundle Package: CFD Learning Courses & Roadmap Comprehensive PDF AI/ML-CFD Courses & Resources Comprehensive PDF What’s Inside the Bundle? 1. Systematic Guide to Learning CFD (PDF) From beginner to advanced, this guide provides a structured learning path with: Best free/paid CFD courses with direct links YouTube channels and trusted CFD websites Courses links for Advanced Fluid Mechanics, Turbulence Modeling, Multiphase Flow, FSI, Compressible Flow, HPC, and more CFD software courses link for ANSYS, Star CCM+, and OpenFOAM CFD Book recommendations 2. Systematic Guide to Learning AI & Machine Learning for CFD (PDF) A digital PDF document with a systematic guide to learning AI & Machine Learning for CFD. A comprehensive, step-by-step list of the best free and paid online courses along with direct links, YouTube lecture series, websites, and research papers focused on applying AI/ML in CFD. Inside this Digital Guide, You'll Find: Fundamental AI/ML Python Learning Courses Machine Learning & Deep Learning Foundations Courses Mathematics for AI/ML Courses CFD & Fluid Mechanics–Focused AI/ML Resources: PINNs CFD Public codes YouTube Lecture Series related to AI/ML in Fluid Mechanics & CFD Additional Platforms related to AI ML Research Papers to Follow (Handpicked): Related to AI/ML used for Fluid Mechanics, CFD, Meshing & Turbulence Modeling Advanced AI/ML Courses Link: Prompt Engineering Generative AI Generative Adversarial Networks Natural Language Processing

Bundle package: CFD Fundamental Theory Notes (20 PDF Modules) CFD Learning Courses & Roadmap Comprehensive PDF AI/ML-CFD Courses & Resources Comprehensive PDF CFD Fundamental Theory Notes! Lectures Notes PDFs on the following topics: Introduction to CFD Basic concepts of Fluid Mechanics Overall CFD Workflow Governing Equations in Fluid Dynamics & CFD PDEs & Discretization Finite Difference Method & Finite Volume Method FDM & FVM Python code: Diffusion & Convection-Diffusion SIMPLE Algorithm Understanding Accuracy in CFD Understanding Mesh Generation & Mesh Quality in CFD Turbulent Flows: Theory & its Characteristics Turbulence Modeling Eddy Viscosity Models K-Epsilon Model: Standard, RNG & Realizable K-Omega Model: Wilcox, BSL & SST CFD Learning Courses & Roadmap Comprehensive PDF A digital PDF document with a systematic guide to learning CFD from scratch to advanced level. A comprehensive step-by-step best online free/paid courses list along with their links, YouTube channels to follow, and websites to follow related to CFD, aerodynamics and thermal science. In the digital PDF document, you will find a comprehensive list of courses related to subjects: Advanced Fluid Mechanics CFD Theory & CFD Coding Multiphase flow Compressible flow Turbulence Modelling Aerodynamics Fluid Structural Interaction High-performance computation List of courses to learn ANSYS, Star CCM+, and OpenFOAM. CFD Books recommendations as well! AI/ML-CFD Courses & Resources Comprehensive PDF A digital PDF document with a systematic guide to learning AI & Machine Learning for CFD. A comprehensive, step-by-step list of the best free and paid online courses along with direct links, YouTube lecture series, websites, and research papers focused on applying AI/ML in CFD. Inside this Digital Guide, You'll Find: Fundamental AI/ML Python Learning Courses Machine Learning & Deep Learning Foundations Courses Mathematics for AI/ML Courses CFD & Fluid Mechanics–Focused AI/ML Resources: PINNs CFD Public codes YouTube Lecture Series related to AI/ML in Fluid Mechanics & CFD Additional Platforms related to AI ML Research Papers to Follow (Handpicked): Related to AI/ML used for Fluid Mechanics, CFD, Meshing & Turbulence Modeling Advanced AI/ML Courses Link: Prompt Engineering Generative AI Generative Adversarial Networks Natural Language Processing

🎯 AI/ML & Data Science Mentorship A structured, long-term mentorship designed to help you go from college to FAANG, switch into Machine Learning roles, or upskill and grow in AI, ML, and Data Science. What You’ll Get Career Roadmap: Know what to learn next, which projects to build, and what kind of companies or roles to target — with realistic timelines for your goals. Strategic Growth: Switch effectively into ML or Data Science roles with clear direction on skills, portfolios, and hiring patterns. Interview Readiness: Multiple mock interviews with feedback, clear improvement tracking, and next steps after each round. Strategies on how to answer questions in interviews. Long-Term Guidance: Work with the same mentor across sessions who reviews your goals, tracks your progress, and adapts advice as you grow. Consider me your wingman in this journey 🚀 Format 1:1 sessions only — focused, practical, and personalized. Note: This is a guidance based mentorship (reviews, direction, and problem solving). I won’t be doing handson coding or writing code with you during sessions. Pricing is based on assumption that it will be 1:1 session format only not making full projects with you.

Embark on Your AI/ML Career Journey with Confidence Download your resume template and guide for free if you still need help! Do reach out to me or schedule a call for some exclusive tips. 🛠️ Personalized Resume Optimization - Highlight your unique skills and experiences to catch the eyes of hiring managers. 📈 Industry Insights - Leverage my knowledge of current trends and shifts in the AI/ML landscape gathered over the past 6 years. 💬 Exclusive Tips - Get insider advice on securing high-paying roles and advancing to senior positions, joining the top 1% club in the industry. Imagine having the clarity and confidence to navigate any challenge in your career journey. With my guidance, you'll unlock new opportunities and pave the way to professional success. Connect with me on LinkedIn to start your journey!

CareerCraft for DS/ML is a focused mentorship program designed to equip aspiring Data Scientists and Machine Learning Engineers with the tools, strategies, and confidence to thrive in the competitive tech landscape. Led by a Google Cloud Certified Professional Machine Learning Engineer with 5 years of hands-on experience, this program blends deep technical expertise in Python, Machine Learning, NLP, Time Series, and Deep Learning with real-world insights into cloud platforms like GCP, AWS, and Azure. You'll also gain practical guidance on working with LLMs, Retrieval-Augmented Generation (RAG), LangChain, and OpenAI models. As your mentor, I’ll work with you 1:1 to: Refine and tailor your resume, LinkedIn, and portfolios Build or showcase impactful projects Strategise job search across relevant platforms and roles Prepare for interviews with mock sessions and feedback Navigate the industry’s expectations and real-world workflows Whether you’re starting out or pivoting into Data Science/ML, this program is your structured path to becoming industry-ready, technically and professionally.

Are you ready to ace your Machine Learning Engineer interview and land your dream job? Our Expert Preparation: ML Engineer Interview Course is designed to equip you with the knowledge, skills, and confidence to succeed in any ML engineering interview. This comprehensive course covers all essential topics, from fundamental concepts to advanced techniques, ensuring you are thoroughly prepared. In this course, you will learn: Core Machine Learning Concepts: Understand the foundational principles of machine learning, including supervised and unsupervised learning, model evaluation, and more. Algorithms and Techniques: Dive deep into essential algorithms such as linear regression, decision trees, support vector machines, neural networks, and deep learning. Practical Applications: Gain hands-on experience with real-world ML projects, including data preprocessing, feature engineering, model training, and deployment. Interview-Specific Skills: Master the art of answering technical interview questions, solving coding challenges, and discussing your past projects effectively. Soft Skills and Best Practices: Learn how to present your ideas clearly, collaborate with team members, and demonstrate your problem-solving abilities during interviews. Our course includes: Engaging video lectures and interactive quizzes. Detailed coding exercises and project assignments. Mock interview sessions with industry professionals. Comprehensive study materials and cheat sheets. With our Expert Preparation: ML Engineer Interview Course, you will not only build a strong foundation in machine learning but also develop the confidence to tackle any interview challenge. Enroll now and take the first step towards a successful career in ML engineering!

Unlock long-term, personalized support to accelerate your AI journey. This package combines Ask Me Anything, 1:1 mentorship, and AI interview preparation to help you grow with clarity, confidence, and expert direction. In this program, you will receive: ✔ 8× Ask Me Anything (DM Support) Get fast responses to your AI, GenAI, or career questions whenever you need clarity. ✔ 5× 1:1 Mentorship Sessions Deep-dive calls focused on your goals — whether that’s building AI skills, implementing AI solutions, or progressing your tech career. ✔ 4× 1:1 AI Interview Preparation Sessions ✔ Comprehensive Resume Audit ✔ Customized Resume Rebuild Personalized interview coaching based on real industry expectations and practical AI/ML problem-solving. What You’ll Gain: Clear direction on your AI learning or career roadmap Expert insights for real-world challenges Confidence for interviews, new roles, or AI-driven projects Priority support throughout the journey A structured framework to accelerate your AI growth This package is designed for professionals, founders, engineers, and students who want consistent, long-term expert guidance rather than one-off sessions. Let’s work together to help you reach your AI goals with clarity and momentum.