Section outline

• Select section BHEEM SUPERSTAR – AI ENGINEER MASTERY

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  BHEEM SUPERSTAR – AI ENGINEER MASTERY

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  • Select activity “Build, Train & Deploy AI Systems Like a Pro” From...

    “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

  • Select activity Tech Stack You'll Master Category Tools / Librarie...

    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.

  • Select activity Announcements

    

    Announcements Forum
• Select section Module 1: Advanced Python & Data Engineering

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  Module 1: Advanced Python & Data Engineering

  • Select activity Data structures, functions, OOP NumPy & Pandas for...

    • Data structures, functions, OOP
    • NumPy & Pandas for data cleaning & transformation
    • JSON, CSV, Excel & API-based data ingestion
    • Mini Project: Business Data Cleaner & Analyzer
      
      
• Select section Module 2: Machine Learning Foundations

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  Module 2: Machine Learning Foundations

  • Select activity Supervised vs Unsupervised Learning Regression, Cl...

    • Supervised vs Unsupervised Learning
    • Regression, Classification, Clustering
    • Scikit-learn: Train-Test-Split, Model Tuning
    • Evaluation Metrics: Accuracy, Precision, F1
    • Mini Projects: Customer Segmentation, Price Predictor
      
      
• Select section Module 3: Deep Learning & Neural Networks

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  Module 3: Deep Learning & Neural Networks

  • Select activity Basics of Neural Networks, Layers & Activation CNN...

    • Basics of Neural Networks, Layers & Activation
    • CNN for image classification
    • RNN for sequence data
    • Frameworks: TensorFlow / Keras
    • Project: Emotion Detector / Image Classifier
• Select section Module 4: LLM Engineering & Chatbot Development

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  Module 4: LLM Engineering & Chatbot Development

  • Select activity OpenAI API, Hugging Face Transformers Fine-tuning ...

    • OpenAI API, Hugging Face Transformers
    • Fine-tuning small models (intro)
    • Embedding concepts & vector databases
    • ChromaDB, Pinecone (intro), Weaviate
    • LangChain for chaining logic
    • Project: RAG-based AI Assistant (Chat with Docs)
• Select section Module 5: API & Full Stack AI Deployment

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  Module 5: API & Full Stack AI Deployment

  • Select activity Build AI backend using FastAPI Dockerize your AI m...

    • Build AI backend using FastAPI
    • Dockerize your AI models
    • GitHub CI/CD, Streamlit Dashboards
    • Hosting on Hugging Face, Render or Replit
    • Final Deployment: Fully functional AI app with API
      
      
• Select section Module 6: Capstone Project + Portfolio Build

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  Module 6: Capstone Project + Portfolio Build

  • Select activity Choose Domain: Retail: AI Recommender Engine Finan...

    Choose Domain:

    • Retail: AI Recommender Engine
    • Finance: Credit Risk Predictor
    • Healthcare: Symptom Checker Bot
    • Education: Adaptive Learning AI Assistant