Become an Expert AI Engineer in 5 Months

Master the cutting-edge field of artificial intelligence with FlexeByte’s AI Engineer Learning Path—your guided journey to transforming ideas into real-world intelligent solutions. This hands-on, industry-focused curriculum covers everything needed to build, deploy, and manage AI systems at scale—from prompt engineering to cloud certification, with continuous practical immersion.

Why Choose This AI Engineer Path?

• Designed for aspiring engineers, developers, and future tech leaders

• Features direct mentorship with hands-on labs and “learn by doing” projects

• Earn certifications and portfolio-boosting credentials recognized globally

• Fully online, flexible scheduling—learn anywhere, anytime

What You’ll Learn

Month 1: AI Foundations & OpenAI

• Explore OpenAI’s ecosystem, LLMs, and generative models—reshape your thinking and applications for the future.

• Introduction to the science behind LLMs, with beginner-friendly analogies.

Month 2: Prompt Engineering & AI-Assisted Coding

• Prompt Engineering 101: Master the essential skill of instructing AI models like ChatGPT and Copilot. Learn frameworks, formulae, and real-world strategies that make ideas come alive.

• AI-Assisted Development: Integrate AI coding assistants into daily workflow—accelerate development cycles, boost creativity, and raise code quality.

Month 3: Certification Milestones

• GitHub Copilot Certification: Become an industry-ready Copilot user through practical demos, transformative use cases, and expert workflow management.

• Cursor AI: Hands-on projects with intelligent coding suggestions and context-driven automation.

• Running Local LLMs with Ollama: Learn how to deploy powerful models on your local machine—privacy, performance, and customization, all in your hands.

Month 4: MLOps, PyTorch, & Cloud AI

• Fundamentals of MLOps: Dive into the end-to-end pipeline: automation, logging, deployment, and monitoring with Docker, Kubernetes, and MLflow.

• PyTorch Workshop: Build neural networks for vision and language—hands-on labs using popular libraries and practical projects.

• AWS & Azure AI Certifications: Prepare for and earn both AWS Certified AI Practitioner and Microsoft AI-900 Azure AI Fundamentals—making you cloud-ready for modern enterprise AI challenges.

Month 5: AI-Driven Kubernetes & LangChain

• Introduction to K8sGPT & Engineering with AI: Use AI for Kubernetes troubleshooting—predict issues, optimize deployments, and automate cloud operations.

• LangChain: Discover the future of intelligent applications with advanced LLM pipelines, retrieval-augmented generation (RAG), and real-world enterprise use cases.

Your Transformation Awaits

By the end of this actionable learning path, you’ll be equipped to:

• Design and deploy advanced AI solutions using modern frameworks

• Build production-grade generative AI applications and chatbots

• Optimize scalable AI workflows in the cloud and on local systems

• Achieve internationally-recognized AI certifications

AI Engineer Salary in 2025 (India):

• Freshers (0–2 years): ₹5–8 lakhs per annum (LPA)

• Mid-level (2–5 years): ₹8–20 LPA

• Senior (5–10 years): ₹20–40 LPA

• Lead/Architect (10+ years): ₹40–60+ LPA

• Top product companies & global leaders: ₹57 LPA and above for highly skilled AI engineers

For experienced professionals in leading global companies, annual compensation can be much higher due to additional bonuses and stock options. Salaries vary by location, skills, and company type, but AI engineering ranks among the most lucrative IT careers in 2025.