
GEN AI ENGINEERING MASTERCLASS: DARI PEMULA MENJADI AHLI (Batch 2)
KUASAI GENERATIVE AI DALAM 28 PERTEMUAN INTENSIF!
Transformasi karir Anda dengan kelas Gen AI Engineering komprehensif yang mengubah pemula menjadi ahli. Pelajari Python, matematika AI, model bahasa, hingga teknik Agentic AI dalam kurikulum terstruktur dan berbasis proyek.
Dapatkan keahlian paling dicari industri dengan 10+ proyek dunia nyata yang membangun portofolio profesional Anda.
Gen AI Mastery Roadmap (Syllabus)
https://docs.google.com/document/d/14sxfzUAq9u9_xPtmHjleTeLsfaj3r7UdWK-K_ITLrIs/edit?usp=sharing
Jadwal yang Dirancang untuk Kesuksesan Anda:
- Petualangan pembelajaran dimulai pada 21 Juli 2025
- Totalnya 28 sesi pembelajaran intensif
- Pertemuan dua kali seminggu (Senin & Rabu) untuk menjaga momentum belajar Anda
- Pertemuan setiap jam 20.00 - 22.00 WIB
- Lebih dari 10 proyek dunia nyata yang akan memperkuat portfolio profesional Anda
- Materi eksklusif yang tidak akan Anda temukan di channel YouTube Akademi AI
- Dirancang dengan pendekatan ramah pemula, sehingga siapapun bisa memulai perjalanan menuju karir AI Engineering
Alur pembelian terdiri dari:
1. Pilih lanjutkan pada halaman promosi ini untuk melakukan pembayaran
2. Masukkan alamat email anda yang bisa dihubungi
3. Pilih metode pembayaran yang anda inginkan
4. Tunggu sampai sistem selesai melakukan verifikasi
5. Jika berhasil, masuk ke halaman konten, kemudia
6. Klik "Join to Whatshapp" untuk masuk ke grup WA "Gen AI Mastery"
7. Selesai
Week 1: Python Mastery for AI Innovators
- Unveiling your learning journey and the path to AI excellence
- Python fundamentals that power modern AI applications
- Advanced Python techniques (OOP, Functional Programming) that separate novices from experts
- Design patterns that will transform your code quality
- Git workflows that industry professionals don't teach you
Week 2: The AI Engineer's Toolkit
- Harnessing the hidden potential of data libraries (Pandas, NumPy, Scikit-learn)
- PyTorch mastery from fundamentals to creating custom architectures
- Essential infrastructure tools (Docker, MLflow) that turn experiments into production systems
Week 3: Building AI Systems That Scale
- Software engineering principles that prevent AI project collapse
- Architectural secrets behind successful machine learning deployments
- Deployment strategies that ensure your models reach real users
- CI/CD pipelines that keep your AI solutions evolving
Week 4: The Mathematical Mind Behind AI
- Linear algebra concepts that unlock neural network understanding
- Probability and statistics insights that improve model performance
- Essential calculus for optimization that textbooks overcomplicate
- Practical Python implementations that bridge theory and application
Week 5-6: Language Model Mastery
- The evolution of NLP that led to today's breakthrough capabilities
- Text embedding techniques and transformer architecture demystified
- From theory to practice: Building sentiment analysis systems
- Inside LLMs: Understanding the architecture powering AI revolution
- Parameter-efficient fine-tuning methods that save resources while boosting performance
- Quantization techniques that make deployment possible
Week 7-8: Beyond Text: Vision and Reasoning
- Vision-Language Models that understand images like humans
- Fine-tuning strategies for specialized domains (Finance, OCR)
- Deployment considerations and calculating true operational costs
- RLHF techniques that align AI with human preferences
- Unlocking reasoning capabilities in language models
- Reinforcement learning approaches for enhanced model abilities
Week 9-10: Building AI with Perfect Memory (RAG)
- The foundations of Retrieval Augmented Generation that transform AI capabilities
- Vector database implementation secrets for optimal information retrieval
- Document processing pipelines that preserve critical information
- Evaluation frameworks that ensure your systems truly perform
- Advanced RAG techniques most tutorials miss
- Extending RAG to handle images and other modalities
Week 11-13: The Future of AI: Autonomous Agents
- Agentic AI foundations (tools, memory, planning) that create truly autonomous systems
- Multi-agent architectures that solve complex problems
- ReAct: The breakthrough approach combining reasoning and action
- Building dynamic agents with Langgraph
- Combining RAG with agents for maximum capability
- Advanced communication protocols (MCP, A2A) for agent interaction
- Design patterns that create robust agent systems
Week 14: Production-Grade Generative AI
- The culmination: Bringing together all techniques into enterprise-ready systems
- Real-world deployment strategies that ensure reliability and performance
- Advanced topics that prepare you for the next wave of AI innovation
- TBA
Mengapa Memilih Bootcamp Gen AI Kami?
1. Perjalanan Komprehensif, Bukan Sekadar Kursus
Kami memandu Anda langkah demi langkah, dari dasar-dasar Python hingga topik paling canggih seperti sistem multi-agen. Anda akan membangun fondasi yang kokoh untuk menguasai teknologi terdepan.
2. Belajar dengan Membangun, Bukan Hanya Menonton
Teori itu penting, tetapi keahlian praktis adalah segalanya. Anda akan membangun portofolio profesional yang kuat dengan 10+ proyek yang mencerminkan tantangan industri nyata.
3. Kuasai Perangkat Standar Profesional
Kami mengajarkan tools yang benar-benar digunakan oleh perusahaan. Kuasai PyTorch, Docker, MLflow, dan LangGraph untuk memastikan Anda adalah seorang Engineer AI yang siap kerja.
4. Raih Keahlian AI Elit
Lebih dari sekadar tutorial biasa. Kurikulum kami mencakup teknik RAG canggih, Vision-Language Models, dan prinsip Agentic AI—keahlian yang membedakan talenta terbaik dari yang lain.