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Section outline

    • “Build, Train & Deploy AI Systems Like a Pro”

      From Model Design to Deployment – Your AI Career Starts Here

       Who is this for?

      • Graduates, Final-year Students, Working Professionals

      • Those who’ve completed AI Engineer Launchpad (Tier 1)

      • Developers & Engineers aiming for real AI & ML roles

      • Anyone who wants to build their own intelligent apps

      Course Outcome

      By the end of this program, you’ll be able to:

      ✅ Train and deploy your own ML and LLM models
      ✅ Use real datasets to solve real problems
      ✅ Build RAG-based AI assistants
      ✅ Master end-to-end pipelines with APIs, databases, and vector stores
      ✅ Prepare for roles like:

      • AI/ML Engineer

      • LLM Developer

      • Data Scientist (Entry Level)

      • AI Product Engineer

    • Tech Stack You'll Master

      Category

      Tools / Libraries

      Programming

      Python, Colab, Jupyter, GitHub

      ML & DL

      Scikit-learn, TensorFlow/Keras

      LLMs & Embeddings

      OpenAI, Hugging Face, LangChain, Pinecone

      Backend & API

      FastAPI, Docker, Streamlit

      Deployment

      Render, Hugging Face, Replit, GitHub Pages

      Databases

      ChromaDB, VectorDB (Intro to Postgres/NoSQL)

       What You’ll Get

      💼 AI Engineer Certificate from Bheem Academy

      ✅ Job Portfolio (GitHub + Deployed Projects)

      📘 Resume + LinkedIn Optimization

      🎤 Project Review & Feedback from Mentors

      🧠 Eligibility for Internship / Placement Support

      🔓 Access to toolkits, datasets & lifetime recordings

      Course Details

      🕒 Duration: 8-12 Months

      🧑‍🏫 Mode: Live + Recorded + Mentorship Support

      🌐 Access from anywhere – Online Live + Lab Support

       Why This Program?

      Because this is more than a course — it’s a complete journey from code to career.
      We don’t just teach models. We build systems that run in the real world.